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-2.16.5.tar.gz (76.4 kB view details)

Uploaded Source

Built Distribution

sentry_arroyo-2.16.5-py3-none-any.whl (103.1 kB view details)

Uploaded Python 3

File details

Details for the file sentry-arroyo-2.16.5.tar.gz.

File metadata

  • Download URL: sentry-arroyo-2.16.5.tar.gz
  • Upload date:
  • Size: 76.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for sentry-arroyo-2.16.5.tar.gz
Algorithm Hash digest
SHA256 a0ff861d6de4081db3428db55e9c7ebffaae391279c9434fe89544838ae2dc09
MD5 f8fa8ff578d0d868a7374f9af77f53ea
BLAKE2b-256 62e7985183715ece8adcd9ef58eabd2bca38d38a8a1900c7c32fedfdabf20c46

See more details on using hashes here.

File details

Details for the file sentry_arroyo-2.16.5-py3-none-any.whl.

File metadata

File hashes

Hashes for sentry_arroyo-2.16.5-py3-none-any.whl
Algorithm Hash digest
SHA256 ecbc0ce21727f79f026091bb19d99cff40980b53a61033e8e6fbdbf9584baf96
MD5 14050dfbd9c848285418c67ab57bb193
BLAKE2b-256 abee793a9721cc165367cbf9a02006db3c7d626aa0141980a3b5c23c26d1af4f

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