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

This version

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-2.17.3.tar.gz (76.4 kB view details)

Uploaded Source

Built Distribution

sentry_arroyo-2.17.3-py3-none-any.whl (103.1 kB view details)

Uploaded Python 3

File details

Details for the file sentry-arroyo-2.17.3.tar.gz.

File metadata

  • Download URL: sentry-arroyo-2.17.3.tar.gz
  • Upload date:
  • Size: 76.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.2

File hashes

Hashes for sentry-arroyo-2.17.3.tar.gz
Algorithm Hash digest
SHA256 6a25f482590dd648c52a31c3cfe76871157f2c699d41eac245a9f2cf7c44ef41
MD5 11d4112b0a2375c9913aec241e5874c7
BLAKE2b-256 765cad6f1a5b7f5cc25c57d1f80fc3de9956ed8265b0da60640eb95ad9fbb862

See more details on using hashes here.

File details

Details for the file sentry_arroyo-2.17.3-py3-none-any.whl.

File metadata

File hashes

Hashes for sentry_arroyo-2.17.3-py3-none-any.whl
Algorithm Hash digest
SHA256 0f3318f7a35b356e386c669855bbaa8dcce6ff2399460d30233310b0acc880bd
MD5 653dacff1a6af58825d4d37a2bcb9686
BLAKE2b-256 957f93c87061f8a5876a257208ad0494bb0b5d7fbae7f83d6ad75466504f90f5

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