Datadog APM client library

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for brettlangdon from gravatar.com brettlangdon Avatar for Datadog from gravatar.com Datadog Avatar for kyle-verhoog from gravatar.com kyle-verhoog Avatar for majorgreys from gravatar.com majorgreys

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD
  • Author: Datadog, Inc.
  • Requires: Python >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*
Classifiers

Project description

dd-trace-py

ddtrace is Datadog's tracing library for Python. It is used to trace requests as they flow across web servers, databases and microservices so that developers have great visibility into bottlenecks and troublesome requests.

Getting Started

For a basic product overview, installation and quick start, check out our setup documentation.

For more advanced usage and configuration, check out our API documentation.

For descriptions of terminology used in APM, take a look at the official documentation.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for brettlangdon from gravatar.com brettlangdon Avatar for Datadog from gravatar.com Datadog Avatar for kyle-verhoog from gravatar.com kyle-verhoog Avatar for majorgreys from gravatar.com majorgreys

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD
  • Author: Datadog, Inc.
  • Requires: Python >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*
Classifiers

Release history Release notifications | RSS feed

2.16.1

2.16.0

2.16.0rc2 pre-release

2.16.0rc1 pre-release

2.15.2

2.15.1

2.15.0

2.15.0rc3 pre-release

2.15.0rc2 pre-release

2.15.0rc1 pre-release

2.14.7

2.14.6

2.14.5

2.14.4

2.14.2

2.14.1

2.14.0

2.14.0rc1 pre-release

2.13.2

2.13.1

2.13.0

2.13.0rc1 pre-release

2.12.4

2.12.3

2.12.2

2.12.1

2.12.0

2.12.0rc2 pre-release

2.12.0rc1 pre-release

2.11.8

2.11.7

2.11.6

2.11.5

2.11.4

2.11.3

2.11.2

2.11.1

2.11.0

2.11.0rc2 pre-release

2.11.0rc1 pre-release

2.10.7

2.10.6

2.10.5

2.10.4

2.10.3

2.10.2

2.10.1

2.10.0

2.10.0rc4 pre-release

2.10.0rc3 pre-release

2.10.0rc2 pre-release

2.10.0rc1 pre-release

2.9.6

2.9.5

2.9.4

2.9.3

2.9.2

2.9.1

2.9.0

2.9.0rc9 pre-release

2.9.0rc8 pre-release

2.9.0rc7 pre-release

2.9.0rc6 pre-release

2.9.0rc5 pre-release

2.9.0rc4 pre-release

2.9.0rc3 pre-release

2.9.0rc2 pre-release

2.9.0rc1 pre-release

2.8.7

2.8.6

2.8.5

2.8.4

2.8.3

2.8.2

2.8.1

2.8.0

2.8.0rc2 pre-release

2.8.0rc1 pre-release

2.7.10

2.7.9

2.7.8

2.7.7

2.7.6

2.7.5

2.7.4

2.7.3

2.7.2

2.7.1

2.7.0

2.7.0rc1 pre-release

2.6.12

2.6.11

2.6.10

2.6.9

2.6.8

2.6.7

2.6.6

2.6.5

2.6.4

2.6.3

2.6.2

2.6.1

2.6.0

2.5.6

2.5.5

2.5.4

2.5.3

2.5.2

2.5.1

2.5.0

2.5.0rc2 pre-release

2.5.0rc1 pre-release

2.4.4

2.4.3

2.4.2

2.4.1

2.4.0

2.4.0rc1 pre-release

2.3.5

2.3.4

2.3.3

2.3.2

2.3.1

2.3.0

2.3.0rc1 pre-release

2.2.3

2.2.2

2.2.1

2.2.0

2.2.0rc1 pre-release

2.1.9

2.1.8

2.1.7

2.1.6

2.1.5

2.1.4

2.1.3

2.1.2

2.1.1

2.1.0

2.1.0rc2 pre-release

2.1.0rc1 pre-release

2.0.10

2.0.9

2.0.8

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

2.0.0rc2 pre-release

1.20.19

1.20.18

1.20.17

1.20.16

1.20.15

1.20.14

1.20.13

1.20.12

1.20.11

1.20.10

1.20.9

1.20.8

1.20.7

1.20.6

1.20.5

1.20.4

1.20.3

1.20.2

1.20.1

1.20.0

1.20.0rc1 pre-release

1.19.7

1.19.6

1.19.5

1.19.4

1.19.3

1.19.2

1.19.1

1.19.0

1.19.0rc1 pre-release

1.18.8

1.18.7

1.18.6

1.18.5

1.18.4

1.18.3

1.18.2

1.18.1

1.18.0

1.18.0rc1 pre-release

1.17.6

1.17.5

1.17.4

1.17.3

1.17.2

1.17.1

1.17.0

1.17.0rc1 pre-release

1.16.4

1.16.3

1.16.2

1.16.1

1.16.0

1.16.0rc2 pre-release

1.16.0rc1 pre-release

1.15.2

1.15.1

1.15.0

1.15.0rc1 pre-release

1.14.3

1.14.2

1.14.1

1.14.0

1.14.0rc2 pre-release

1.14.0rc1 pre-release

1.13.6

1.13.5

1.13.4

1.13.3

1.13.2

1.13.1

1.13.0

1.13.0rc3 pre-release

1.13.0rc2 pre-release

1.13.0rc1 pre-release

1.12.10

1.12.9

1.12.8

1.12.7

1.12.6

1.12.5

1.12.4

1.12.3

1.12.2

1.12.1

1.12.0

1.12.0rc1 pre-release

1.11.6

1.11.5

1.11.4

1.11.3

1.11.2

1.11.1

1.11.0

1.11.0rc1 pre-release

1.10.3

1.10.2

1.10.1

1.10.0

1.10.0rc3 pre-release

1.10.0rc2 pre-release

1.10.0rc1 pre-release

1.9.7

1.9.6

1.9.5

1.9.4

1.9.3

1.9.2

1.9.1 yanked

Reason this release was yanked:

This version was released with the wrong commit and does not adhere to the semver policy we follow.

1.9.0

1.9.0rc4 pre-release

1.9.0rc3 pre-release

1.9.0rc2 pre-release

1.8.3

1.8.2

1.8.1

This version

1.8.0

1.8.0rc4 pre-release

1.8.0rc3 pre-release

1.8.0rc2 pre-release

1.8.0rc1 pre-release

1.7.5

1.7.4

1.7.3

1.7.2

1.7.1

1.7.0

1.7.0rc4 pre-release

1.7.0rc3 pre-release

1.7.0rc2 pre-release

1.7.0rc1 pre-release

1.6.6

1.6.5

1.6.4

1.6.3

1.6.2

1.6.1

1.6.0

1.6.0rc3 pre-release

1.6.0rc2 pre-release

1.6.0rc1 pre-release

1.5.5

1.5.4

1.5.3

1.5.2

1.5.1

1.5.0

1.5.0rc3 pre-release

1.5.0rc2 pre-release

1.5.0rc1 pre-release

1.4.5

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.4.0rc3 pre-release

1.4.0rc2 pre-release

1.4.0rc1 pre-release

1.3.8

1.3.7

1.3.6

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.3.0rc2 pre-release

1.3.0rc1 pre-release

1.2.3

1.2.2

1.2.1

1.2.1rc1 pre-release

1.2.0

1.2.0rc3 pre-release

1.2.0rc2 pre-release

1.2.0rc1 pre-release

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.1.0rc3 pre-release

1.1.0rc2 pre-release

1.1.0rc1 pre-release

1.0.3

1.0.2

1.0.1

1.0.0

1.0.0rc3 pre-release

1.0.0rc2 pre-release

1.0.0rc1 pre-release

0.61.5

0.61.4

0.61.3

0.61.2

0.61.1

0.61.0

0.61.0rc2 pre-release

0.61.0rc1 pre-release

0.60.6

0.60.5

0.60.4

0.60.3

0.60.2

0.60.1

0.60.0

0.60.0rc5 pre-release

0.60.0rc4 pre-release

0.60.0rc3 pre-release

0.60.0rc2 pre-release

0.60.0rc1 pre-release

0.59.2

0.59.1

0.59.0

0.59.0rc3 pre-release

0.59.0rc2 pre-release

0.59.0rc1 pre-release

0.58.5

0.58.4

0.58.3

0.58.2

0.58.1

0.58.0

0.58.0rc1 pre-release

0.57.4

0.57.3

0.57.2

0.57.1

0.57.0

0.57.0rc3 pre-release

0.57.0rc2 pre-release

0.57.0rc1 pre-release

0.56.1

0.56.0

0.56.0rc7 pre-release

0.56.0rc6 pre-release

0.56.0rc5 pre-release

0.56.0rc4 pre-release

0.56.0rc3 pre-release

0.56.0rc2 pre-release

0.56.0rc1 pre-release

0.55.4

0.55.3

0.55.2

0.55.1

0.55.0

0.55.0rc2 pre-release

0.55.0rc1 pre-release

0.54.1

0.54.0

0.54.0rc1 pre-release

0.53.3

0.53.2

0.53.1

0.53.0

0.53.0rc2 pre-release

0.53.0rc1 pre-release

0.52.2

0.52.1

0.52.0

0.52.0rc3 pre-release

0.52.0rc2 pre-release yanked

Reason this release was yanked:

Used the wrong commit for the release.

0.52.0rc1 pre-release

0.51.3

0.51.2

0.51.1

0.51.0

0.51.0rc4 pre-release

0.51.0rc3 pre-release

0.51.0rc2 pre-release

0.51.0rc1 pre-release

0.50.4

0.50.3

0.50.2

0.50.1

0.50.0

0.50.0rc7 pre-release

0.50.0rc6 pre-release

0.50.0rc5 pre-release

0.50.0rc4 pre-release

0.50.0rc3 pre-release

0.50.0rc2 pre-release

0.50.0rc1 pre-release

0.49.4

0.49.3

0.49.2

0.49.1

0.49.0

0.49.0rc2 pre-release

0.49.0rc1 pre-release

0.48.4

0.48.3

0.48.2

0.48.1

0.48.0

0.47.0

0.46.0

0.45.0

0.44.0

0.43.1

0.43.0

0.42.0

0.41.2

0.41.1

0.41.0

0.40.2

0.40.1

0.40.0

0.39.2

0.39.1

0.39.0

0.38.4

0.38.3

0.38.2

0.38.1

0.38.0

0.37.3

0.37.2

0.37.1

0.37.0

0.36.3

0.36.2

0.36.1

0.36.0

0.35.2

0.35.1

0.35.0

0.34.2

0.34.1

0.34.0

0.33.0

0.32.2

0.32.1

0.32.0

0.31.0

0.30.2

0.30.1

0.30.0

0.29.0

0.28.0

0.27.1

0.27.0

0.26.0

0.25.0

0.24.0

0.23.0

0.22.0

0.21.1

0.21.0

0.20.4

0.20.3

0.20.2

0.20.1

0.20.0

0.19.0

0.18.0

0.17.1

0.17.0

0.16.0

0.15.0

0.14.1

0.14.0

0.13.1

0.13.0

0.12.1

0.12.0

0.11.1

0.11.0

0.10.1

0.10.0

0.9.2

0.9.1

0.9.0

0.8.5

0.8.4

0.8.3

0.8.2

0.8.1

0.8.0

0.7.0

0.6.0

0.5.5

0.5.4

0.5.3

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ddtrace-1.8.0.tar.gz (1.9 MB view details)

Uploaded Source

Built Distributions

ddtrace-1.8.0-cp311-cp311-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.11 Windows x86-64

ddtrace-1.8.0-cp311-cp311-win32.whl (2.6 MB view details)

Uploaded CPython 3.11 Windows x86

ddtrace-1.8.0-cp311-cp311-musllinux_1_1_x86_64.whl (4.7 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

ddtrace-1.8.0-cp311-cp311-musllinux_1_1_i686.whl (4.5 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

ddtrace-1.8.0-cp311-cp311-musllinux_1_1_aarch64.whl (4.6 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARM64

ddtrace-1.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

ddtrace-1.8.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (4.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

ddtrace-1.8.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

ddtrace-1.8.0-cp311-cp311-macosx_11_0_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.11 macOS 11.0+ x86-64

ddtrace-1.8.0-cp311-cp311-macosx_11_0_universal2.whl (2.1 MB view details)

Uploaded CPython 3.11 macOS 11.0+ universal2 (ARM64, x86-64)

ddtrace-1.8.0-cp310-cp310-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.10 Windows x86-64

ddtrace-1.8.0-cp310-cp310-win32.whl (2.6 MB view details)

Uploaded CPython 3.10 Windows x86

ddtrace-1.8.0-cp310-cp310-musllinux_1_1_x86_64.whl (4.6 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

ddtrace-1.8.0-cp310-cp310-musllinux_1_1_i686.whl (4.5 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

ddtrace-1.8.0-cp310-cp310-musllinux_1_1_aarch64.whl (4.5 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

ddtrace-1.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

ddtrace-1.8.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (4.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

ddtrace-1.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

ddtrace-1.8.0-cp310-cp310-macosx_11_0_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.10 macOS 11.0+ x86-64

ddtrace-1.8.0-cp310-cp310-macosx_11_0_universal2.whl (2.2 MB view details)

Uploaded CPython 3.10 macOS 11.0+ universal2 (ARM64, x86-64)

ddtrace-1.8.0-cp39-cp39-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.9 Windows x86-64

ddtrace-1.8.0-cp39-cp39-win32.whl (2.6 MB view details)

Uploaded CPython 3.9 Windows x86

ddtrace-1.8.0-cp39-cp39-musllinux_1_1_x86_64.whl (4.7 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

ddtrace-1.8.0-cp39-cp39-musllinux_1_1_i686.whl (4.6 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

ddtrace-1.8.0-cp39-cp39-musllinux_1_1_aarch64.whl (4.6 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

ddtrace-1.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

ddtrace-1.8.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (4.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

ddtrace-1.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

ddtrace-1.8.0-cp39-cp39-macosx_11_0_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.9 macOS 11.0+ x86-64

ddtrace-1.8.0-cp39-cp39-macosx_11_0_universal2.whl (2.2 MB view details)

Uploaded CPython 3.9 macOS 11.0+ universal2 (ARM64, x86-64)

ddtrace-1.8.0-cp38-cp38-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.8 Windows x86-64

ddtrace-1.8.0-cp38-cp38-win32.whl (2.6 MB view details)

Uploaded CPython 3.8 Windows x86

ddtrace-1.8.0-cp38-cp38-musllinux_1_1_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

ddtrace-1.8.0-cp38-cp38-musllinux_1_1_i686.whl (4.8 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

ddtrace-1.8.0-cp38-cp38-musllinux_1_1_aarch64.whl (4.9 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

ddtrace-1.8.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

ddtrace-1.8.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (4.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

ddtrace-1.8.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

ddtrace-1.8.0-cp38-cp38-macosx_11_0_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.8 macOS 11.0+ x86-64

ddtrace-1.8.0-cp38-cp38-macosx_11_0_universal2.whl (2.2 MB view details)

Uploaded CPython 3.8 macOS 11.0+ universal2 (ARM64, x86-64)

ddtrace-1.8.0-cp37-cp37m-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.7m Windows x86-64

ddtrace-1.8.0-cp37-cp37m-win32.whl (2.6 MB view details)

Uploaded CPython 3.7m Windows x86

ddtrace-1.8.0-cp37-cp37m-musllinux_1_1_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ x86-64

ddtrace-1.8.0-cp37-cp37m-musllinux_1_1_i686.whl (4.3 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

ddtrace-1.8.0-cp37-cp37m-musllinux_1_1_aarch64.whl (4.4 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ ARM64

ddtrace-1.8.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

ddtrace-1.8.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (4.3 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

ddtrace-1.8.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.3 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

ddtrace-1.8.0-cp37-cp37m-macosx_11_0_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.7m macOS 11.0+ x86-64

ddtrace-1.8.0-cp36-cp36m-win_amd64.whl (2.7 MB view details)

Uploaded CPython 3.6m Windows x86-64

ddtrace-1.8.0-cp36-cp36m-win32.whl (2.6 MB view details)

Uploaded CPython 3.6m Windows x86

ddtrace-1.8.0-cp36-cp36m-musllinux_1_1_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ x86-64

ddtrace-1.8.0-cp36-cp36m-musllinux_1_1_i686.whl (4.3 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ i686

ddtrace-1.8.0-cp36-cp36m-musllinux_1_1_aarch64.whl (4.4 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ ARM64

ddtrace-1.8.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

ddtrace-1.8.0-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl (4.3 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ i686

ddtrace-1.8.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.3 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

ddtrace-1.8.0-cp36-cp36m-macosx_11_0_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.6m macOS 11.0+ x86-64

ddtrace-1.8.0-cp35-cp35m-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.5m Windows x86-64

ddtrace-1.8.0-cp35-cp35m-win32.whl (2.6 MB view details)

Uploaded CPython 3.5m Windows x86

ddtrace-1.8.0-cp35-cp35m-manylinux2014_aarch64.whl (4.3 MB view details)

Uploaded CPython 3.5m

ddtrace-1.8.0-cp35-cp35m-manylinux2010_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.12+ x86-64

ddtrace-1.8.0-cp35-cp35m-manylinux2010_i686.whl (4.1 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.12+ i686

ddtrace-1.8.0-cp27-cp27mu-manylinux2010_x86_64.whl (3.8 MB view details)

Uploaded CPython 2.7mu manylinux: glibc 2.12+ x86-64

ddtrace-1.8.0-cp27-cp27mu-manylinux2010_i686.whl (3.7 MB view details)

Uploaded CPython 2.7mu manylinux: glibc 2.12+ i686

ddtrace-1.8.0-cp27-cp27m-manylinux2010_x86_64.whl (3.8 MB view details)

Uploaded CPython 2.7m manylinux: glibc 2.12+ x86-64

ddtrace-1.8.0-cp27-cp27m-manylinux2010_i686.whl (3.7 MB view details)

Uploaded CPython 2.7m manylinux: glibc 2.12+ i686

ddtrace-1.8.0-cp27-cp27m-macosx_11_0_x86_64.whl (1.6 MB view details)

Uploaded CPython 2.7m macOS 11.0+ x86-64

File details

Details for the file ddtrace-1.8.0.tar.gz.

File metadata

  • Download URL: ddtrace-1.8.0.tar.gz
  • Upload date:
  • Size: 1.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.8.0.tar.gz
Algorithm Hash digest
SHA256 6adcfdf69bfdd75983abbe5715ec1a4e7ab34495c1fae43305122f1263b4a7a1
MD5 1a85cb44eb821f30e8b69150abcf1d22
BLAKE2b-256 6a717cd4289db52904eb781e44c1e6057aa61b657cdd6350d5801c572d1782ec

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.8.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.8.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 b4d55241f4a1f0fe6115b3abc84ea20c07c998bd38c9c5997e825abd0f8460f3
MD5 fded820a32d0fbb6af9ce57d2bfe2698
BLAKE2b-256 6bce2312338c9a5362ac3cfbd80f228fa7d5dc2d7a25266a982d976469119332

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp311-cp311-win32.whl.

File metadata

  • Download URL: ddtrace-1.8.0-cp311-cp311-win32.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.8.0-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 526bb36013797c89d94b428483ecfd066c1c9e913dfc5780121683ff8ada1359
MD5 6e0446f2c3b9b0168f15e68f4194d4f2
BLAKE2b-256 aa1a55276b756d8cd264bc24a6e5087a0e0e17ae580b6894da98b5353882727b

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 265090f2262ceb27fe4619e915f80405a5a7de610795c92978db0de106942830
MD5 40a9111d6cdc0632e4ae97cd3dbefaed
BLAKE2b-256 065b829939746fd9639b8522ef0e78ccf134ee50ab7ee310e770c0f8fb36033b

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 396d6a5cbf6b6df3050605872e0a9462665c0db9986a102d50e46ce6e7e8c368
MD5 ef747c5ad6c60b9b06cacebf7a114523
BLAKE2b-256 5552d437b8bb1179fe0b0c7ab57079ce2866785a0983a69c59cf83aa16d8440c

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp311-cp311-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp311-cp311-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 fe91fc05b333afda6bec641457e079229069a1931b8ba4dad747dd2b0c437e3b
MD5 65967b16fb0e1d10d1726d885ed0152c
BLAKE2b-256 dc183082402f90d721cd772e480e970352674adb3f32577ccdc6fd1ca694f6d8

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 859f79b0c49437fc017f23f1c752c19a8f423dd56d2e2e753f01576c4d6781d4
MD5 0d50d0d0a95b4a0937a648e66315e17c
BLAKE2b-256 97dcff35716309afb7f704076f65f0a70a389393b1a834726740fc082cde1135

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f9bf77a50e95b1aa210ecc98b1b5d69c79b6b5abb9446fbb59b397342206f224
MD5 f9d626932ce39b614254d16543997de8
BLAKE2b-256 a0bebf8fe9176f0b7e8c028ddab67fa7d8e6bee8b2e7e38684be95bd9513cd8e

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 22773f6f0e8e2f0aabfd4ddf092a61d66bb95394bddfbbd0c02b104721d66f0d
MD5 f44e5537766a64cdf77bbf58c1d7b158
BLAKE2b-256 7f38f0b60709a26bcb463b7b9eb40cd8ce5353db51904acaafcfbdfd61104268

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp311-cp311-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp311-cp311-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 ec16a6781feaec867f00e83a76350658c91430395ada48ed60f5920e9948ce18
MD5 46a45f073a9d48ee7a1884af10c98c4c
BLAKE2b-256 97e20a2dae52473552a8d52807bf6eda9a728214cceb04ab55516fa41a91727d

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp311-cp311-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp311-cp311-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 44c43beac038582556f274550a6a3737a0687116b70be24ba70a386765f8cbc1
MD5 e373efcfeecf0b0942342d8391f79861
BLAKE2b-256 a5537f64f7703128458dfcf2b719a62222adcf5983598318c66c315377146cc8

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.8.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.8.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 60cb9a12f2e4f27c1923d6c44823a9a03da1dc9a2bedf9df661174ef12a772eb
MD5 33fd43aa0bb8aa9c1ff8f136052d64fd
BLAKE2b-256 9d654c73f6748b947f6deac171138c3f04863b9445b9a969da4304e778891e16

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: ddtrace-1.8.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.8.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 a3ecd8f7609892bfd6deec283ea5f14f2d7d975dfbc07b40633b1403ce5aa761
MD5 b1e30d0e798c4f4c8df6a8a39adb8cda
BLAKE2b-256 8d1acec3fa2a51c9a418bc363fd2ca7c4d16b9308158c2e2584b1326b570c891

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 a5279a88458cad28e2a52746fd1216f9326f1a8d38e9f0eae3b7468a8f9695e6
MD5 612d687bef73833f57a4bf375e5a0b1c
BLAKE2b-256 a9d24cc33d48b870d9574a569a3767a018de0a38dbd62e746ce7845b4d1ff674

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 e6d47fd202204939a84197faee2efcd55fea1e6e8f7682f65fcebcdb66859d26
MD5 35696de7317e6d34e0971a36e4d83a46
BLAKE2b-256 579d31925032d7241dab6510ab110f40b01dc5c8fb56944ba4d1687de64f3240

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 38c5221e400512ab771344318cddec39bcd8a5e9c044c48a59a9394e969174d7
MD5 78e67956fabf0068109c352eb4db251e
BLAKE2b-256 5e299071d4aa8eafe76918a79a8f87e49aa98c0c8c2be140bc7051c23d7def26

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 20de022b73dc10bbf82349d6122194a72d2e8dbf2aa648f1b5ecbbad86681aca
MD5 81c4655ae0b349402bb796530be4c863
BLAKE2b-256 7b1453dcd160a3b86c137efb0c0f673ff8e011f8bf2b7d153c7d989b64b1132d

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 40bf66daa2cdbce7f2a4b524180379c8c23965714ca34ec5b3c7cca1a8c648f4
MD5 27aeffcf9c1d58e8742e4b04c9346620
BLAKE2b-256 0e01f5f1ac651fc56b21ac551a7d9cabc6377c24167b75f3f853db79f5eff4f5

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d2c7a4fd8db4439bfdd55ab431eb54ef6f2225d388eb88008632c0660254a589
MD5 67e07efea6427a1fd4ffadb2cfaf2b53
BLAKE2b-256 e339f32430edb5c0b19d730194ecf6bf8b20fb79a81f766467f4a3de070b8295

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 42afd070448ca8f4dd32641bb62d9e9bcf41247e47b6e77f3374a911047ad795
MD5 98ed57fb9187c903bdbeea1ec579ddb4
BLAKE2b-256 85d0642516029b163b688a24df1aaabb7dc907a8fc99e19aa41b0fb7c4e0e75b

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp310-cp310-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp310-cp310-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 75ba8a7d79022c995fcfe74f475a7988ad5266e722ce25a35fc3d709f710a6f5
MD5 f5d141549656f50e28afdd08b82f4dd0
BLAKE2b-256 4b090ca3450d95e2c6f8481263aab0f898ddd16a80898615f53d2ce5d5362779

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.8.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.8.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 d7b84d6e34b1585fe0b376b8390ff69cb8bb15a6442f86d8a6ea49fff2764368
MD5 5dd3d792cf78d453ec23779cf95a00f2
BLAKE2b-256 ce96de08e9e6ea753d9d5ced0001bf9ce4ae1dcd55a88add9fb423bd5d712ba3

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: ddtrace-1.8.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.8.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 f6f9496bd3ef6b37587dd1c37e565cc18940e36ce9cc2e38011edcfdc4ecb742
MD5 80be2482f6d36c189917e6f1a85d2726
BLAKE2b-256 c58aafd4a47dfc4a45ddb96b1151b6f19135f3ba5a3dfa2f57e7db17716b7f17

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 50fb3c52c8d49320e923e73ad8b6b1c1ff88dd0707bc2ce5ea4733238d4d5d83
MD5 d602c398fb8c21ce08295f50c7c47da1
BLAKE2b-256 a29e6874063f65bd42532ed3d9b21ff2b467bd81f2b531fb6d55a759e6ad5556

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 2ef0425e661a7c343382f060b8192685ec0cca3035dbff0f625dfd5e0439c0e8
MD5 3954751565a1217eea55c741415d8de1
BLAKE2b-256 80e49078de7c440d1381f303f7a5964001d37ed4870ba96a99457e38cf3c5552

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 ddb0103bde0ad3f6ab6fa07b80e42876ebfc719963f6ff8c05844883b4799888
MD5 c3e94e302876824253e59138cbe26bea
BLAKE2b-256 fef86f3eb03ebd8715461b73d86743d074c2af2b0db7a63a75f61c6668824b36

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ea756a3306d421ef8590cf59770840d1b851f258aed198e3b5d839eb912d4d99
MD5 9f34934440177f32c5e6de03435668ad
BLAKE2b-256 3405c70da6d9acdf2b324e7863d94d3689bfc9bc98d5ccbf3642c8b1cac0857a

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 704b6ca29dfbf149f0d956464afaee877d42cafa4ac0f76ca66d7c6bfb9f5a3f
MD5 ea50cf879cd5d5f017124e9d4388db8b
BLAKE2b-256 3234d66fc469bd9f22291fc772201fbc23891ee9b8972921747412bfeb6d0886

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a6d53b8bde42dc402d92350bae157b96c51c4694413c94083d24593da89426f7
MD5 d09469c5304b2cb09b253340fe3981f3
BLAKE2b-256 afd5ee053d52823248601e27064a034bb789e8cfd1260ae6f52477233353f4bf

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 bc2f8e6e19dd6fb8be7ac9e0b258759631218969220aa53f833e041a6ea3953d
MD5 a347a848f082782625f14d46b0e66092
BLAKE2b-256 f3b051b7e5e62d5dd4bf01cec42930a5e65182b2cac2b5354f4bdee6d086c824

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp39-cp39-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp39-cp39-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 75d857c3eb72f5657de8095262c48c566408bcaef52e72e00762a2637918712b
MD5 6bb2b1bdcbf6715da197191bf4e01cdb
BLAKE2b-256 0c4149d137d4e47ff4e93b7657c1e1baaf798fbfa280f26af3e3400f706cd35e

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.8.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.8.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 a97249445d246cfd64323f665c44aaca645021a145293c4a47ecb758813c468c
MD5 9bdd2f50a5d79e186c446b976a7d616f
BLAKE2b-256 daedc8e5694eb36e46b62a0f300b4d7434f59602c1baa276e95e572d582c4d55

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: ddtrace-1.8.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.8.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 8709b00d31cde2768d3b42ffa724acfdd93c0d447412863306030e337065cc98
MD5 7e2a3c8682129fb69847a22e685e6d94
BLAKE2b-256 5dc7c15e7340397084ea48e9a66a9bf6986f025021483fe14159cf7854ea5266

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 45fd9fe0706b71bfcd6f8fda17d7f336815c35262285543a14e55f048124834e
MD5 b836376ac6e6554b98de2a62ce5427ea
BLAKE2b-256 0a82d13d8fae8fa6e90523ac0f06a86848ae39e8ea43d939e34b3774876fc9af

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 f74ba23f69ae5692bf7bfd9c4eef2e70245e7aa7f6a5690f2642d5450d543ff9
MD5 a722ba8d071861b2acb7127b22b59bd2
BLAKE2b-256 6dd967937400be4221eaa5964b579d04c276f686a13404aba501ebfe188ffdd7

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 910eedb6435349db11e7604fbca6d7a826b40ff58fec2120d56b1a54b8c7de8d
MD5 a22a7ee83b6d38da946c635d70cdae18
BLAKE2b-256 b49baf41496965610ace82c1025d7e6f69803c7285d83b4f455cde9cb5c548c1

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 739175482c0317f905e87f7caea24053199e63ae9f6ad0b8d18a4688664f15ef
MD5 74cf68a9fbfa6da40c4e4f9c0e4dc573
BLAKE2b-256 9bc0a11dc91569fbf01ed5b7bb67126d3894f2ad138cfd3fef539cbf3c11c577

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 391bd132baa88ec5bd0662aea01de0e4bd3fb42149ab67a4f825ad38a3b4ec63
MD5 2fbe013bbbac5574d41832637bd853af
BLAKE2b-256 a4cf7fc999bc8b9e03c2475474e87f284b804c78d88032a79aa7c7d52a77d371

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e36f2346f7e16585658073d70b4dda8b1d76f63b7e303e97974ef51d9831a632
MD5 d5ed6d09099c82b95f4fa5cf052aa061
BLAKE2b-256 95adb9b42ec06bfa410fb1f6b9b6acb3223bbec593fa5bcdf54a08c622bf30aa

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp38-cp38-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 08fde75f05273aae6b54c16693d339a95d9eff8151a4f5b0dd02f506cb6769f5
MD5 ca67b74af7b446286fd8f4ee9d54f0e5
BLAKE2b-256 eb83236207270724a5dcd5e5a54048fd0cd38d3dc365034d690f01cb5a07c11d

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp38-cp38-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp38-cp38-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 bdd9cd3cb71aec543f1067e88fbef421da7211df42a97688b3dbdf9fd9f93e1b
MD5 1de5767638ec3359a78037f7e9c8500f
BLAKE2b-256 0df991cb391fe72d4231e2f1fa4365bf5994294191b4d978f728f060a7ac31c5

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.8.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.8.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 43281471cfaa2fe1b5268ee06ef3188f32433bc8a39de418097393c3c2b2793c
MD5 18e6a1de849253830a721944a52656b3
BLAKE2b-256 d2e43688302d4054f7d4236969575d764559bdac8dbf0ccd9f6c15bd79dd7adf

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: ddtrace-1.8.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.8.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 24d34b0e3751cd391d300187bf0d0d51a1202439783bc56cfa34eb43b23b8b82
MD5 021f75addc50ea3f9a8f487bda378111
BLAKE2b-256 8fe1f7c3a464b8558c6b20fb6a2bba98c09920691c8a298cbc0528589d61436d

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 3dfb6c627fc6cccce91f845c60b42ad520caeeb90575cf1b1d7855f0c9367cc5
MD5 97fa39d3fddd9052e61fb34c6f80c004
BLAKE2b-256 cbd22a35b73efa98178a08534f7d5f7678f7ecf069a46078be6767c65ad1c4c1

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 8331331020fe5b21b479cfffd69eceea487726108a63c83f03befae40b0f5ebe
MD5 3176a5c3e921f581b4fb7f4f0ef06f0b
BLAKE2b-256 19277bd750f541900b98ead8d9407404b8a3032dea156181bf1c6d2112b58276

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp37-cp37m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp37-cp37m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 f939381beae9f4e81e43fca4da14a4745fdb4a5131a0cc582685cba7cdccf071
MD5 b3315815c3d7c4179e32d1b84b729469
BLAKE2b-256 f89f30eef027b7b239d864077cab51d7dca688c14f08b19edbcb4f73a9be9a6c

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 28d0813daa98163844d4064a23d90ab93fc536bddc633eefd7a500374835458a
MD5 1dad3c45bfebcec1061db4301d21aaa4
BLAKE2b-256 5a437d63a52cfbe62021f8a41fd73c7e7691f3e234d42e9bdc487067c555abc1

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1aae08184b4ab6a18a3ff2d5912a3f178b5f98da90e65f7c8fcc7bf049501673
MD5 efb23c5b18ae58923ade77c4271a0050
BLAKE2b-256 5bc87032792749cfa15e3382dbf5fdde064a644320e687aed54dc9518ae18893

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6bbe6d76c5b00d517085491cadacd35bf18f0a5fa6f7668dadaa086cd549eaf1
MD5 0a056120b2807d5b1b83e88692826634
BLAKE2b-256 8c7b2f5ad4339bf86f310bef053e019a6b2baf2eff9d3d334ffb3a6d40b10dab

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp37-cp37m-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 ac3c96774f8eebadd5d0a3655b397c59f00eac4daebe10bdc77dbeb87bac4faf
MD5 e47e072eec5332ec7c74848caf063feb
BLAKE2b-256 7af1ccc4206a965ec27e26258d1fe24da3c58b2c8a74fc5b90ff63397aaa1617

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.8.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.8.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 a7063df6245eec224daab9696c8d49609b168c035c89feaa16a3147924a369a6
MD5 36b0a72d5c35a6d12fb7efcdc5772830
BLAKE2b-256 2c90e8c25db69dffbe030e418fbec16d361ce3549f8819c175e68f92f312881c

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp36-cp36m-win32.whl.

File metadata

  • Download URL: ddtrace-1.8.0-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.8.0-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 8d6677b4a64ef511a7ca6623fd2c44ddfe4bf3b3229c810d9de3e54699eda621
MD5 a5343deac6acd3b613da276b277cb845
BLAKE2b-256 1e9ec6308da3fcbf9dfd6c74cc9772ee286bff7e2f7d7501f46480721e1bfd47

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp36-cp36m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 3134a06038cd81440aa80dd1563c26a047d1ed32e02256c2a5ebe348edb009b7
MD5 3bbae759bfe9be0411fc7a2942116d27
BLAKE2b-256 194dcb7c01694a598c8d3f8201c9b9480edb45a56266b0f6ebb6f12a88dccc3c

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp36-cp36m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 7c6ccb57c0f2a6e8a7127cb2c93cafd6716e09e0139be5c0049ab62a9a39ca67
MD5 e0f1ebf2470f6420d1f32a597c97ec12
BLAKE2b-256 13f9afdd76b814362ea7a1bb9ff01e19b8b707fbb705f362dc3908e57940f51f

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp36-cp36m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp36-cp36m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 4dcaa1d7a94b6b34b702eea58f1869a01df23f56ef7937aa6a0a9bed6244121e
MD5 086e4e9e357fbb6f391a2576ac414550
BLAKE2b-256 809d6cff0646f425a0f92e8684204cddf73ba1da48cf51c3fcb05ed137cdcfab

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9d58da46585c37956bf6f1ea133651a65db26a448f88a9b285772593119fedcd
MD5 eb83f09f9f8264627902f3af0310f134
BLAKE2b-256 618370468f504a034895d3824291d90b1317613e0ed169f0ab1ac5b25c96d0a9

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 17a96b0103ef06c21af2b4308e22276b5a5efcbeeaa74b0f326ebc6ea7854519
MD5 424e2e89a83477f28458fd648f46020d
BLAKE2b-256 f1cb98bbe57fb83896bd019d6692c3a9f27dba752b08382802081716a1b9542c

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cfb838ebb4ecd42a16865c84acb6ddc032310d3a0f63353cf5e63b3933b3a2d3
MD5 6525ec89e8acc809ddc8d908a5250690
BLAKE2b-256 51142ed58d80e3ff5c76a78c3bbfcb6a0e50c454287acb8b64b8a08d6744ac09

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp36-cp36m-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp36-cp36m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 066187648269eb1f0c20e3a1181bfde83728ba41578ccb6a645fda1790be3349
MD5 b40e34102b77ee45edb7f18e2b12719d
BLAKE2b-256 bca8a60bc05c90bcca8c4d269a1868ed7891c009de61292cea974ee46cd05313

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.8.0-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.8.0-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 386360eda1c184a11ff8dd0dcd595e9c7476378180c180c7f9e5e44b75103d64
MD5 3d1d90a5c429d5ebe8bc25eb6cbd4826
BLAKE2b-256 50e1679fdc324769403d973921b050de63cc75612eeaf18ea6b4486e82f5ac2d

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp35-cp35m-win32.whl.

File metadata

  • Download URL: ddtrace-1.8.0-cp35-cp35m-win32.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.5m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.8.0-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 a7d77c6822951d725626009aaef56ad7fd9cef513eed7570ac6ec104ebd53ca9
MD5 28cdf903d3f4f36b2b9c55ae03b56b5d
BLAKE2b-256 06eda886ea0d5b91bbf1626f3fdd6727af4e64abd6732233b839a26c41978720

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp35-cp35m-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp35-cp35m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 99abc133d8da20b0c74a6a6d32e3966e4a2c2038dc542612cb07ecdb3824fd68
MD5 dfcd85bac6a4e4000a6887e75e988960
BLAKE2b-256 e1605105513378c20ce0f314124bcc1754de5bf83e24de1c1a7307eb892a8489

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 9d07b02d370eb7d3dc9948d9ef38b4a7c9421e83e3595cfc5a0a95c87b43a6a5
MD5 e3dfa40fb99f7ece3a8b43d8e98ead12
BLAKE2b-256 f0a66e67c5d0b684d1c3c1d201f9465a84b798e68508585ee4f42c86a68aa4ec

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp35-cp35m-manylinux2010_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp35-cp35m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 9533423a3cae950c33b3337f426de64cb1bf0768f0fc6ef9a2d06fa9812458f8
MD5 054e75d4f3176c99d0ea99d045bd7ecb
BLAKE2b-256 ba72293085b78617a3e01b144966308e05b47ca4ea5115f497354dbd4a503c0b

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp27-cp27mu-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp27-cp27mu-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c87bcc627e8de1e54b34008184b3aa6950db126b41cefa36b3d763373b45cb62
MD5 aa18ddd9b8ade7b376f4277468929efb
BLAKE2b-256 16c9e9efc460d4bb986bbde5d5401d24698c6165c7384eb4c66ba4177c4ca751

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp27-cp27mu-manylinux2010_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp27-cp27mu-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 39889e21d787c591d71e90758bb1a333f7f926dd826b141a9454f2ffab8a0bc0
MD5 4a0efeb43d1b88dee710b3de449fd683
BLAKE2b-256 0943a78712adaa9d929b13e34c0a23da0e346399dfab57e7f01c8c3505a29f57

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp27-cp27m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp27-cp27m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 5ea8323796e13df00d1acb82a1c44039c798b4b07c9be764469d04646b4e4f4f
MD5 78c6d34c8be6edc203fb06fc469917e9
BLAKE2b-256 93ab2a46bb0299d0d7139576384d14268e6b9f472f4eea5f6118257c905f275c

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp27-cp27m-manylinux2010_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp27-cp27m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 0079d7153627d87f8dda60baedd08828fc27555ab911e0310e2c3a20e823b11b
MD5 0732799510a2488793a016534cc7d34e
BLAKE2b-256 664d578e625be6963f2005eb17cf26ac4ac74cf37a911152b7221501f9bad052

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.8.0-cp27-cp27m-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.8.0-cp27-cp27m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 66864e1a96374ad514b0272b8262b776a8f8cff0460e394d4fc8e0d99e691364
MD5 be8a241b00bd3a157da486804c1febff
BLAKE2b-256 e2cf46b8b6160420b67113e0e31c81c2625ab8d8c739c216f405bf5a0997338d

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page