Skip to main content

Arroyo is a Python library for working with streaming data.

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


Release history Release notifications | RSS feed

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-2.17.5.tar.gz (79.2 kB view details)

Uploaded Source

Built Distribution

sentry_arroyo-2.17.5-py3-none-any.whl (106.2 kB view details)

Uploaded Python 3

File details

Details for the file sentry_arroyo-2.17.5.tar.gz.

File metadata

  • Download URL: sentry_arroyo-2.17.5.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-2.17.5.tar.gz
Algorithm Hash digest
SHA256 0bb8ef08fe525c2245d7251544b7790d33cdc44e3d5b24b407d8eb7acece0fe0
MD5 5056ee315fd16390a35cc220d4f257ff
BLAKE2b-256 19ff050eeb3ff3560568f9f1e0c35635c2bbebbe567940fa4dd561af832ef105

See more details on using hashes here.

File details

Details for the file sentry_arroyo-2.17.5-py3-none-any.whl.

File metadata

File hashes

Hashes for sentry_arroyo-2.17.5-py3-none-any.whl
Algorithm Hash digest
SHA256 12ceaad4d2693c821e0cc10ca6659fb643e4e6963e29b1ebb7a5ffc15f9225bb
MD5 d63dacde7fbda2f209564ef9e873fd04
BLAKE2b-256 aca07ab40c0c70512265871259084083871317bc0fc294c920b6a16df815d211

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