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-2.17.1.tar.gz (76.4 kB view details)

Uploaded Source

Built Distribution

sentry_arroyo-2.17.1-py3-none-any.whl (103.1 kB view details)

Uploaded Python 3

File details

Details for the file sentry-arroyo-2.17.1.tar.gz.

File metadata

  • Download URL: sentry-arroyo-2.17.1.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-2.17.1.tar.gz
Algorithm Hash digest
SHA256 1c9209c08234a60c498b9e129f7cc4cdbbe7f2a8ebf6935c520095b8a1e1ae43
MD5 d5062c925994becb77cb6601363f341a
BLAKE2b-256 e474e427724bdb8cc9207e4221e530d055ce503f9f81f23897b38cbd0514ac11

See more details on using hashes here.

File details

Details for the file sentry_arroyo-2.17.1-py3-none-any.whl.

File metadata

File hashes

Hashes for sentry_arroyo-2.17.1-py3-none-any.whl
Algorithm Hash digest
SHA256 517ebbcdd9c1c864fddc82fdae2af08d999b903c6e6ee780c69e44e1adec4f56
MD5 0b40b11f1b52669715f71ef3ce0e796d
BLAKE2b-256 6c861a98edfdfd99fe0d77f21b8a20f4b8be2294d49202bb193b9a024c6e0e53

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