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

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

This version

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-2.16.1.tar.gz (76.3 kB view details)

Uploaded Source

Built Distribution

sentry_arroyo-2.16.1-py3-none-any.whl (103.1 kB view details)

Uploaded Python 3

File details

Details for the file sentry-arroyo-2.16.1.tar.gz.

File metadata

  • Download URL: sentry-arroyo-2.16.1.tar.gz
  • Upload date:
  • Size: 76.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for sentry-arroyo-2.16.1.tar.gz
Algorithm Hash digest
SHA256 dc26025b60af4283380f9338c012f50b4866c50bcb72deed391b6180da6b17dc
MD5 533804b8cae7521b5887b2665e4083a2
BLAKE2b-256 e83de08ae1a43990deab91806f471768c6e6bce30e98ffc72543a0ab332fd572

See more details on using hashes here.

File details

Details for the file sentry_arroyo-2.16.1-py3-none-any.whl.

File metadata

File hashes

Hashes for sentry_arroyo-2.16.1-py3-none-any.whl
Algorithm Hash digest
SHA256 2f523b16a751f8b505e41c557c7c60c6dda8bd77452acb1f9dccd7abb7d505fe
MD5 3b3df80631e8ac21534a97a654544e30
BLAKE2b-256 8d1089bface130c44b6555920f179c9ee9ebb2d35b935426cb5e77889676d367

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