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

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

This version

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-1.6.0rc1.tar.gz (1.9 MB view details)

Uploaded Source

Built Distributions

ddtrace-1.6.0rc1-cp310-cp310-win_amd64.whl (1.4 MB view details)

Uploaded CPython 3.10 Windows x86-64

ddtrace-1.6.0rc1-cp310-cp310-win32.whl (1.3 MB view details)

Uploaded CPython 3.10 Windows x86

ddtrace-1.6.0rc1-cp310-cp310-musllinux_1_1_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

ddtrace-1.6.0rc1-cp310-cp310-musllinux_1_1_i686.whl (4.4 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

ddtrace-1.6.0rc1-cp310-cp310-musllinux_1_1_aarch64.whl (4.3 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

ddtrace-1.6.0rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

ddtrace-1.6.0rc1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (3.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

ddtrace-1.6.0rc1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

ddtrace-1.6.0rc1-cp310-cp310-macosx_10_9_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

ddtrace-1.6.0rc1-cp310-cp310-macosx_10_9_universal2.whl (2.1 MB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

ddtrace-1.6.0rc1-cp39-cp39-win_amd64.whl (1.4 MB view details)

Uploaded CPython 3.9 Windows x86-64

ddtrace-1.6.0rc1-cp39-cp39-win32.whl (1.3 MB view details)

Uploaded CPython 3.9 Windows x86

ddtrace-1.6.0rc1-cp39-cp39-musllinux_1_1_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

ddtrace-1.6.0rc1-cp39-cp39-musllinux_1_1_i686.whl (4.5 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

ddtrace-1.6.0rc1-cp39-cp39-musllinux_1_1_aarch64.whl (4.5 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

ddtrace-1.6.0rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

ddtrace-1.6.0rc1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (3.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

ddtrace-1.6.0rc1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

ddtrace-1.6.0rc1-cp39-cp39-macosx_10_9_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

ddtrace-1.6.0rc1-cp39-cp39-macosx_10_9_universal2.whl (2.1 MB view details)

Uploaded CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64)

ddtrace-1.6.0rc1-cp38-cp38-win_amd64.whl (1.4 MB view details)

Uploaded CPython 3.8 Windows x86-64

ddtrace-1.6.0rc1-cp38-cp38-win32.whl (1.3 MB view details)

Uploaded CPython 3.8 Windows x86

ddtrace-1.6.0rc1-cp38-cp38-musllinux_1_1_x86_64.whl (4.9 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

ddtrace-1.6.0rc1-cp38-cp38-musllinux_1_1_i686.whl (4.8 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

ddtrace-1.6.0rc1-cp38-cp38-musllinux_1_1_aarch64.whl (4.8 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

ddtrace-1.6.0rc1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

ddtrace-1.6.0rc1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (3.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

ddtrace-1.6.0rc1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.0 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

ddtrace-1.6.0rc1-cp38-cp38-macosx_10_9_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

ddtrace-1.6.0rc1-cp38-cp38-macosx_10_9_universal2.whl (2.1 MB view details)

Uploaded CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64)

ddtrace-1.6.0rc1-cp37-cp37m-win_amd64.whl (1.4 MB view details)

Uploaded CPython 3.7m Windows x86-64

ddtrace-1.6.0rc1-cp37-cp37m-win32.whl (1.3 MB view details)

Uploaded CPython 3.7m Windows x86

ddtrace-1.6.0rc1-cp37-cp37m-musllinux_1_1_x86_64.whl (4.3 MB view details)

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

ddtrace-1.6.0rc1-cp37-cp37m-musllinux_1_1_i686.whl (4.2 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

ddtrace-1.6.0rc1-cp37-cp37m-musllinux_1_1_aarch64.whl (4.2 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ ARM64

ddtrace-1.6.0rc1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.7 MB view details)

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

ddtrace-1.6.0rc1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (3.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

ddtrace-1.6.0rc1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.7 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

ddtrace-1.6.0rc1-cp37-cp37m-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

ddtrace-1.6.0rc1-cp36-cp36m-win_amd64.whl (1.4 MB view details)

Uploaded CPython 3.6m Windows x86-64

ddtrace-1.6.0rc1-cp36-cp36m-win32.whl (1.3 MB view details)

Uploaded CPython 3.6m Windows x86

ddtrace-1.6.0rc1-cp36-cp36m-musllinux_1_1_x86_64.whl (4.3 MB view details)

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

ddtrace-1.6.0rc1-cp36-cp36m-musllinux_1_1_i686.whl (4.2 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ i686

ddtrace-1.6.0rc1-cp36-cp36m-musllinux_1_1_aarch64.whl (4.2 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ ARM64

ddtrace-1.6.0rc1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.7 MB view details)

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

ddtrace-1.6.0rc1-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl (3.6 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ i686

ddtrace-1.6.0rc1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.6 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

ddtrace-1.6.0rc1-cp36-cp36m-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

ddtrace-1.6.0rc1-cp35-cp35m-win_amd64.whl (1.4 MB view details)

Uploaded CPython 3.5m Windows x86-64

ddtrace-1.6.0rc1-cp35-cp35m-win32.whl (1.3 MB view details)

Uploaded CPython 3.5m Windows x86

ddtrace-1.6.0rc1-cp35-cp35m-manylinux2014_aarch64.whl (3.6 MB view details)

Uploaded CPython 3.5m

ddtrace-1.6.0rc1-cp35-cp35m-manylinux2010_x86_64.whl (3.5 MB view details)

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

ddtrace-1.6.0rc1-cp35-cp35m-manylinux2010_i686.whl (3.4 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.12+ i686

ddtrace-1.6.0rc1-cp27-cp27mu-manylinux2010_x86_64.whl (3.1 MB view details)

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

ddtrace-1.6.0rc1-cp27-cp27mu-manylinux2010_i686.whl (3.0 MB view details)

Uploaded CPython 2.7mu manylinux: glibc 2.12+ i686

ddtrace-1.6.0rc1-cp27-cp27m-manylinux2010_x86_64.whl (3.1 MB view details)

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

ddtrace-1.6.0rc1-cp27-cp27m-manylinux2010_i686.whl (3.0 MB view details)

Uploaded CPython 2.7m manylinux: glibc 2.12+ i686

ddtrace-1.6.0rc1-cp27-cp27m-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 2.7m macOS 10.9+ x86-64

File details

Details for the file ddtrace-1.6.0rc1.tar.gz.

File metadata

  • Download URL: ddtrace-1.6.0rc1.tar.gz
  • Upload date:
  • Size: 1.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for ddtrace-1.6.0rc1.tar.gz
Algorithm Hash digest
SHA256 8d4bff395b47b66428a83b3e5a7e75c88a006834fae5c2326fb70a78105c0b9f
MD5 bf167c95c575b01f7777d18f491a24ce
BLAKE2b-256 377cca9460138f02829ae0e82434ac8d8b1d1c16ac634555eb769c44b006934e

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 8afd37f4fb2651a09aae4fb21e5e6b175084d3406c5c77ee42bfe9351f3e6cc7
MD5 5a36817b43a453524446812e5ac168ba
BLAKE2b-256 693b613835e685ba1dbdc5f93015cf6d7ed5fdd54057d9bcf1743e26cf7ab9be

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp310-cp310-win32.whl.

File metadata

  • Download URL: ddtrace-1.6.0rc1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for ddtrace-1.6.0rc1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 9a93027e88d38b6538652fc5fb25dd9434f62d90f729cc4985b478ad0a564263
MD5 9e3ee35736d0f900c4d1a939abb108a8
BLAKE2b-256 2024a928d3e82d7b618396280129543edf6c4cc25a3f52a9ddc49c52766e6f42

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 f47ce9b019fb61ccf5860cd5001b4853adca50f8be9bf60220e4b5edba8c1ad3
MD5 396942662654fa3fb720c82b3dbf60b2
BLAKE2b-256 1630113ef65eff5c973d7671e9e249d5cd61787a84559d9c1cb06fa73646eadf

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 5a17ba55d8ce0877bfc2a068d66f459e39da08e78d25698a4e44c5878eb54ff1
MD5 91c7e31975aef8258b6e48ae493a658b
BLAKE2b-256 7eb9363a2940ac531a67eaf6b3d4c373fd60cf60d282c8d9c2c4723e4af91476

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 4287a05668478124de3e9f8b9afc65d486bb3f11e10b8388b0054bc5213bbba5
MD5 23e861dffe7b80bd92f72e4321390478
BLAKE2b-256 f5c433a9d549ce13d84a6970e5fd7e9432da5759db24e5d8174f02264906ea80

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d1cbb2963016f422a7a09317d37fc8ca9e4e5e4d1f2457162fbaf52a79698231
MD5 c1212f4550a6e53982151883498e482f
BLAKE2b-256 534f794b567ce1f548df98b4e793dfffa9238425fdf5d8cae13e50e99d5cd872

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 e2f3cb300cbdb90b47c1afcc2db473d018933c52f815f0e49e2762f4979998e1
MD5 9ae503d8df84d26d883e7574d87b7066
BLAKE2b-256 6370b0e55a4edc8fd5b8b60f42b11f710a208dd19db07858b643ec55f4094bfd

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b6d81cd28a740cb508145b50303ce405c8593b2aefe026b920440ab47f92b970
MD5 41620d859116f47a2684c713521a360f
BLAKE2b-256 1d987059fd21f22535e24a453088edc861bebd7fc957ea2d2dee75cc1315c384

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 43772eded8a47841729e339ab756e357e1dee676ff270775ba88632f70dd3f86
MD5 0d7b3eec1a2d8da8621d21e1650ebc0c
BLAKE2b-256 b69f2d937f6ba7e74f46345a7d76fccf15bfeab729f24dffd12d42cf9f70847a

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 00e6ad479b7fe1301f4077bede1113f24ba8472c50438a824b115f10b1978087
MD5 7c76a1bc4493ca945efb28af871af560
BLAKE2b-256 251f5a8a9db1d0f24c9a8b2f03bf33ac20d6cfaa254dbf161b0e12d88155b483

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 8b241d3b2545cd6ec93ec616c126fbe9dcbcebbf549ec415d0dd5e15d185839f
MD5 9beb5275afed8df0583bc6faf668a415
BLAKE2b-256 e5bc0086d47eb83a94f00945b30782e789a026d4e163a7fdce57dc25757c4c6d

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp39-cp39-win32.whl.

File metadata

  • Download URL: ddtrace-1.6.0rc1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for ddtrace-1.6.0rc1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 c2a30b8ba5dda30236750bf6d9c276a332b8251fc340685c1c8a74baae3aa024
MD5 269ab50ad21957337514a97b3787ca03
BLAKE2b-256 35975e41f7e9bd4cc232239121e5914f320b20b5524ce7ff177cacae9204838a

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 db73227eb291536a6e21539323554a22012db2f2aacfb4b3093feaab00cde2c3
MD5 35c8104eefb4695289cb0f244ea7b75e
BLAKE2b-256 af7cd6ad5b86bf3317cb1988cfda7a5ac789f220ea63306d3fe3b32a1db21720

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 cb66a202b78f9f75dd4f5ea6dc8683776769a721e421b55f0617da26f6b3725c
MD5 c2e1af87a0b4fabd253bcaf8f2dfd6e7
BLAKE2b-256 18949fc68ce609ab99d3ea3de7a618152bdade0e0eca305b3f7d3d30b16ebdf1

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 83c345024d982f59940d368ba9082c0e621a1782afbd8e96c4788e0c172c6ad0
MD5 4aae8846b916c770fdbe3f5c09a73f7b
BLAKE2b-256 31345dabfee26fbc9a085f36f302668bba069717da4901f70ef2fcd848effeb7

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c6bd1a8d86869206994f93b42420b49435a1db5258eb45284862256770f3964e
MD5 0405b2fe60173bca2bb75ad9bf07db07
BLAKE2b-256 b7f86449651c4f7b9a7a85667c45593c40e9be3d02caecc7cf35980c1d7caa1e

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 dc32f99780524f57b8da22f0d91a25b49f7237e6257bdd092f3f14fbd71ed14d
MD5 25e84d5e5c0cc0cdd9a8498b14b6c378
BLAKE2b-256 e1b2abed9948a73d6bfe078d9931002819ff538562b5f4f184ed3891d0e11294

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ca5bc2f8b8de163cc3a8c274b156936b96367e336e23433fab40c1bc3544a3b6
MD5 870826bdc681c47d57e6f5a975a756a9
BLAKE2b-256 198ea418ad2ae08a29e78c5c093754e17bf9f6ea24d47390dc1a9990b0a9e02d

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 40a1f0c2f2b0327259b898fa020bd37f9221beaf90198e593c052074f5855355
MD5 532906dca5dbcfc76e40772defcc91a1
BLAKE2b-256 dd87c7e2bd79c08f780c7c56dd8c14e4593ecda93204767516e045125659d362

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 a017b65ea568634df344fd18c26db5520596617ed454e2c75fa34531e5d73915
MD5 0f7b4fab3d92fabf0c67c9c7ed8ea91b
BLAKE2b-256 9805602c37769b6f0d3b15c0e639c4cd2f196df226c3ce97a322d797b1c77bb1

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 be5af1e1edaf3ac749ea15fa1fcbaab3dcd34c0aad36c23245b280da6bc61a83
MD5 5814d15299698b6f56f590e4ad28d228
BLAKE2b-256 29ae45a896d77d8a884fa5b0e6c0b78c30ed4066de9b0e5a37e9ace7ad6dc613

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp38-cp38-win32.whl.

File metadata

  • Download URL: ddtrace-1.6.0rc1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for ddtrace-1.6.0rc1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 0aa1eaf83f0c19ba75b8fabc7a74dcc4ed697ca8fe30220c92b00ad9cd4169e1
MD5 c46bd02e4fd6afd56f37a60396d5f72c
BLAKE2b-256 e5e6b53a97ba920b87caf2d2b5d6362d72fcb3fda2f4b65b4dfa9055150def35

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 088819c7a85331cb29d2d0810490cf1e9b9bc65d4c30a63e2659c69a3def3ec4
MD5 8267b96b9ac076133d15dd3549e45128
BLAKE2b-256 176484ea4a3f52ddbcf4a5ecadb50edfbeec47cc48ea51175343078420ca9450

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 8a38ccf258f705a11b945257058203f21c98910fc62266124b2227987319b066
MD5 56f12c8fd5db182c899db63967fc6a77
BLAKE2b-256 c28cc83d68451fad382344a6da9ecd8ccc9f1f0f635d390c1571be3002666f18

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 e8f12cf91c7538cf0c2258038b323516bd982d977503335e4c8fb6b8d72244ee
MD5 c392bd64805b7eb54b6f7738b6ccc685
BLAKE2b-256 8d692bd3d0805d31970ba4802dce409fcb0a01a9a97219dc6801b08588fbef35

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2f37723efd0f0e057d983663b17e31899eac3183fe92e4f5202e47b5344fa291
MD5 7909e1a432a3be412636ec9a7d1a465f
BLAKE2b-256 ae42d0ec8eb954f085fa5ec6acaef506e002e193355883398522426e6b6e7376

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 30b899f72ed99868951c2a4f73575425846e3854f8eaec142b37af0743c60468
MD5 82e7fcd888370a50a973b6d94866cf32
BLAKE2b-256 44b5b09071f0e2c61643c071d1090c241906386582429038014d1499c9c94f9f

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 89dcfcbdee4ffa101386a6fffb03256803a70ae91e91dead76ba9027d4fbd452
MD5 53eef149a019f05be1433b881acffe9d
BLAKE2b-256 fc23a598227be61bbc83141abfba5580552447e3aeafcd190486a165f8bfccab

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 187f452653d4567a70a9c279f36d6636f562c1fb29785e30a5e52c61ee14527e
MD5 2e4e32131f16e2416e6d29f5ddbb68d9
BLAKE2b-256 5d2b6e870826de4fed65982cbdf4cd1b2b5b4b746f11a06c4605705e36d5d328

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 2b4b1b536762b4ab29e835a20beaa5e26703a3725af4480eff5615b0582f673d
MD5 fc5258bfa94df0bdf21a0438ada535d0
BLAKE2b-256 eaa9390c64f2360eeb877e7f0b1b97c26a5ca473faf1b8dc66cdcf554f05d27d

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 1ec8d5f979d1ef1b3d5d417ba588f791c8eb15cce2200e0fd7d47629eaa573b7
MD5 6d728b247e2cf85b4fbdb0a3feae96ed
BLAKE2b-256 4e9c31504822c98820a7814288b301550f4b9a56d1d4e698e918dd78aa6e7e77

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: ddtrace-1.6.0rc1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for ddtrace-1.6.0rc1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 693264f574c6813adf6f17b7b1bcab7d2eba21731c70f26c505f08b84ad7484a
MD5 7580310f80fa59bd59c9f41340958e39
BLAKE2b-256 089b1f9825db76b78b030c994b439ec46fd882edd777876c807aafe4ed7a8c75

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 07befedf1cc9c99134b166e0265bda3f4edc43ebd5a7dac58211edca30e5e907
MD5 164a2933b48546a51c05229d9e36104e
BLAKE2b-256 279585173aef6be1d23ce26f878f16e0e8869ab3d6a1f3bc0f9181fd8c8381d1

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 0c7c9730a1fc0d1409f1f849268354982f35f6cf8c4d74f1a6e7ada90fc43d38
MD5 3187a93c78b2f54ffbf480a00015a27b
BLAKE2b-256 a796331f6fe5179485e7ce321d0020a7737dd67c8e059881bbeac3eb9a16e96c

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp37-cp37m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp37-cp37m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 88b7cff9c0653a462fc486e366a04c636761bc0a37ff5e4e388a2f5a84464079
MD5 4ceb63e33530190028a215166bb9b8a2
BLAKE2b-256 d8decb65ca2d44fc00f0ad142e9f36ac5239153b254c52b3b6934266dd2dc1d6

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bd47ba6c3fbbf3d42e50ed5d1a2e2af6235abb94f4a221f36939e88f9f5560a4
MD5 054e46af5007fa32365325c09ad62ada
BLAKE2b-256 43e6fd35722d3d94f47b6cf2889d70fdf3415a0df19e4857c4e99ae40d1c4512

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 fa361808d87941f77ce2390a514ecfac7a1a33a75a627d346d6d2256e7242809
MD5 13de101992f4d768e00b990c093e5708
BLAKE2b-256 dba89d13b384545531669eb7c8822d436a4aa129d0b4b555f597bf37e090363f

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cf71e61cb330e1560ab1c833e61bffa00460dc498c51c845cf5220342c857157
MD5 997a055976b62f2602d8cefaa02ca8c4
BLAKE2b-256 645f4cc582699135ca4f54713be3ca521250020dc91511890d745c94db458797

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c858978486187a9efd14fe9c987ba8b166c87e8c1ceb9622076f7d7b9278c0fe
MD5 b9430c1abfab561ce0a86dfdef1aaef3
BLAKE2b-256 afc9df6766e974c3eb3b7cd212dea9614f928d9c8dacaa63967455c86a45fb9f

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 3f73b5998ecd70ad474ec0d465e89d9fb74a0552d688dca3c088fd0550bbcbf9
MD5 e37786a6488312947584f5a8c618c8c6
BLAKE2b-256 9b810694e7d101dc54a6beec47229343958945a8f275629e5caa6a170ed836e9

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp36-cp36m-win32.whl.

File metadata

  • Download URL: ddtrace-1.6.0rc1-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for ddtrace-1.6.0rc1-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 19ed8cdb4f991735bdf556df1aefccc966a063bac02d46c378fe7f3d046cf848
MD5 9b418ece58b79967af9b36c06983e21c
BLAKE2b-256 c0141c107da6e7ccdaf486ebb85176e3345806a27245f1a983265187392c26f2

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp36-cp36m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 6720b06c68f640ccaf8325718489241328b34b729c1b176d58093e7dea82b754
MD5 96777b7b404f75d690527f9eb2c5adb0
BLAKE2b-256 0ace1a853124a9d8adb04cbc2443d80259a9c1a2d5c0e348f18deb7744d710af

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp36-cp36m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 8c087ed77292e670edb67c44a5ab9c65e74d290517ea7c8179bf63a88677d8b8
MD5 99a8c6ba5211922b115df328b16da735
BLAKE2b-256 313d082aa8609ffa34c23be804fd1c87fb6e66f815f40560efae680306e5d307

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp36-cp36m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp36-cp36m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 8c811b7ded5a0c9bc5b0766b907298b16e7a112c23aa7eb40953b1198ee3976b
MD5 be06b1e65339bac5c0846c1ce485d4a1
BLAKE2b-256 abe084cd854b0f3865cb64f0ca08a1bbfc3f4f34c19b17e04f20d59c7e01bd00

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 90820947fb95cc7daf4d76b4d4061108299056bcaab3e120fbd25f3341012532
MD5 3b09672c0685f68e9acdc359ecf54907
BLAKE2b-256 ec150a21814317c339636646358fa32288a9af7ac9e89ade09ad7d662fefc990

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 525973429e0a7d1f9b85e0363a354ee4a15fe7d0b3131d5b5b012503591bce68
MD5 de69df3b4efd52987791e31593e3cb71
BLAKE2b-256 d6b3d8dfea9ed10beb0788ee090bdc2893226d4b6f6fed3b0150b24287d95727

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ea72880c625dd86248fe603c371683b2443c9b28098172697535c74d7ae66aff
MD5 1aeb32b964c7f50a9eb7200c3fc87f15
BLAKE2b-256 2b58f1129fb7b47ddcbfd964aeada79a021805831cf81c4ce0c18cab4cf51049

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0c4b7039216c2bc52927b646010ec34e8987d2c04a9c1f153946facc2a31186a
MD5 1a61b82c875d367caf7b121f527786f3
BLAKE2b-256 b859b557eeaafe972847d94a21dec0b03e88fa92cf20f9c98f1ad25c2852b1c8

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp35-cp35m-win_amd64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 6461c67bf53d80660591931a3d387ee58c795f05a832f533f6020157ab117fbf
MD5 bb1995cfb3fc3c446a28d4ed08e708f1
BLAKE2b-256 23406ab58567c9cf6b86f79c59c7f33b90622942355f9ba7a09f9d44fdeac388

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp35-cp35m-win32.whl.

File metadata

  • Download URL: ddtrace-1.6.0rc1-cp35-cp35m-win32.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.5m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for ddtrace-1.6.0rc1-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 1f68e6b6436339bddef199a07c79ce30287c74e6f3d9212fc7dbc9b16b376767
MD5 1746fb58e8d60423f968e0b9ad4be0a5
BLAKE2b-256 5fa5df9c8aab7ade55d6fc5cf3c9e1c19208e7e0a1ed821296ee1fac5d1be530

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp35-cp35m-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp35-cp35m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 10ff1262f573e87a34f4bb462b78c222379fa63bd03998393d278ea8f223a33e
MD5 524ac3e10028cce14b728fe037135984
BLAKE2b-256 32e7e542233c60a456955c616c3f83c95c286feedfc0b172cb2768022865d7ed

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 93686145fd7e54bca1595006cee7696230cf67c187ccf9ef1954be7e88ab9d9c
MD5 81faa1e5687a72f0486cdde2f9a8a8fd
BLAKE2b-256 d5578cc72b9dd3cf77a74251826996348cee3eb857b0c387fc270b92c944e78f

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp35-cp35m-manylinux2010_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp35-cp35m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 18ca78f15bd4fce4c329d9462abacc22e40fb47c07017dc666628d093694492d
MD5 3e2132429ac167b0c4c4b7d606daa68e
BLAKE2b-256 041a7840532d6507b6be12d0112e9ed7355f04b849ef741c61a10b8d3c267b2f

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp27-cp27mu-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp27-cp27mu-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 87210f67f07d009f9f28a40e56d98622972b9538b23b0bcec297ac89c6d9eb00
MD5 de9f6c1c572944b2f18992a7062fa41f
BLAKE2b-256 40b86f14aa0e4037b24f48a060945120bcfa997c66cff5ee9f97ae4af7cf0da2

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp27-cp27mu-manylinux2010_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp27-cp27mu-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 8a6046c84c73d1f8fd141dc6449acad6b5843099d3deef4b527aeb8e7e449f42
MD5 376a0e262fe2b9d5a12b05082a5b57ba
BLAKE2b-256 af1cace53a2b5e39204963f8b8a175f4ca77d7d0129101307293a2cf22b8fc11

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp27-cp27m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp27-cp27m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 8849324d0cdff93dcc807b51228dea1f4c9278a5a24401321d01e3e605b1f117
MD5 74d7dfb6673a364f59668e16534d5d04
BLAKE2b-256 8361962fc44db3cb2f950e3b8f2deb02ce8203b40e9024f0d1cc15f1ff3c61b6

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp27-cp27m-manylinux2010_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp27-cp27m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 d977eed8068ca1f0e368370ce1a9d0a284199690df4aacda2866689fa8fe3c6d
MD5 43807f2b7dcc030c08b5293484f34c6f
BLAKE2b-256 f7fa0d12fe73d0317e0ed03857c576c6376df929e39b34bc98107053f32c4dbb

See more details on using hashes here.

Provenance

File details

Details for the file ddtrace-1.6.0rc1-cp27-cp27m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.6.0rc1-cp27-cp27m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f6ef9a37a28d86292d63efc23aacb68a7e6f0de0b7dffdd7e7a503871bd783c8
MD5 7d78e33678607678cd777cf7f984de4d
BLAKE2b-256 53e58f67ea8d624f29586d447a9d514fbf73205169c925501a6af39e0ac8c233

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