Arroyo is a Python library for working with streaming data.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for getsentry from gravatar.com getsentry

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache-2.0)
  • Author: Sentry
Classifiers

Project description

Arroyo

Arroyo is a library to build streaming applications that consume from and produce to Kafka.

Arroyo consists of three components:

  • Consumer and producer backends
    • The Kafka backend is a wrapper around the librdkafka client, and attempts to simplify rebalancing and offset management even further
    • There is also an in memory and a file based consumer and producer implementation that can be used for testing
  • A strategy interface
    • Arroyo includes a number of pre-built strategies such as RunTask, Filter, Reduce, CommitOffsets and more.
    • Users can write their own strategies, though in most cases this should not be needed as the library aims to provide generic, reusable strategies that cover most stream processing use cases
    • Strategies can be chained together to form complex message processing pipelines.
  • A streaming engine which manages the relationship between the consumer and strategies
    • The StreamProcessor controls progress by the consumer and schedules work for execution by the strategies.

All documentation is in the docs directory. It is hosted at https://getsentry.github.io/arroyo/ and can be built locally by running make docs

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for getsentry from gravatar.com getsentry

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache-2.0)
  • Author: Sentry
Classifiers

Release history Release notifications | RSS feed

2.18.2

2.18.1

2.18.0

This version

2.17.6

2.17.5

2.17.4

2.17.3

2.17.2

2.17.1

2.17.0

2.16.5

2.16.4

2.16.3

2.16.2

2.16.1

2.16.0

2.15.4

2.15.3

2.15.2

2.15.1

2.15.0

2.14.25

2.14.24

2.14.23

2.14.22

2.14.21

2.14.20

2.14.19

2.14.18

2.14.17

2.14.16

2.14.15

2.14.14

2.14.13

2.14.12

2.14.11

2.14.10

2.14.9

2.14.8

2.14.7

2.14.6

2.14.5

2.14.4

2.14.3

2.14.2

2.14.1

2.14.0

2.13.0

2.12.1

2.12.0

2.11.7

2.11.6

2.11.5

2.11.4

2.11.3

2.11.2

2.11.1

2.11.0

2.10.6

2.10.5

2.10.4

2.10.3

2.10.2

2.10.1

2.10.0

2.9.1

2.9.0

2.8.0

2.7.1

2.7.0

2.6.0

2.5.3

2.5.2

2.5.1

2.5.0

2.4.0

2.3.1

2.3.0

2.2.0

2.1.0

2.0.0

1.2.0

1.1.0

1.0.7

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

0.2.2

0.2.1

0.2.0

0.1.1

0.1.0

0.0.21

0.0.20

0.0.19

0.0.18

0.0.17

0.0.16

0.0.15

0.0.14

0.0.13

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

Download files

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

Source Distribution

sentry_arroyo-2.17.6.tar.gz (79.2 kB view details)

Uploaded Source

Built Distribution

sentry_arroyo-2.17.6-py3-none-any.whl (106.2 kB view details)

Uploaded Python 3

File details

Details for the file sentry_arroyo-2.17.6.tar.gz.

File metadata

  • Download URL: sentry_arroyo-2.17.6.tar.gz
  • Upload date:
  • Size: 79.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.2

File hashes

Hashes for sentry_arroyo-2.17.6.tar.gz
Algorithm Hash digest
SHA256 9b13485dee5edd196ebfe5f245de6ae3b42ff196928ffced551a7532d0b50efb
MD5 f965337107452aeccd0372f7d6f1bcf4
BLAKE2b-256 ec5e180d6494de8c67d1347508861a73f60d60df60d4c0b333e2e80ff398915e

See more details on using hashes here.

File details

Details for the file sentry_arroyo-2.17.6-py3-none-any.whl.

File metadata

File hashes

Hashes for sentry_arroyo-2.17.6-py3-none-any.whl
Algorithm Hash digest
SHA256 674925e3d64b8cf6f7157682563e54e49dadbc7a308417fdebafd790e65a93bb
MD5 0812d94db413dded9b12d7b84cbf2689
BLAKE2b-256 8c84726fe168d99c83255610a7c325184aac9b4d5fc3a4dff22d812baad260b2

See more details on using hashes here.

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