Skip to main content

streamparse lets you run Python code against real-time streams of data. Integrates with Apache Storm.

Project description

logo

Build Status

Streamparse lets you run Python code against real-time streams of data via Apache Storm. With streamparse you can create Storm bolts and spouts in Python without having to write a single line of Java. It also provides handy CLI utilities for managing Storm clusters and projects.

The Storm/streamparse combo can be viewed as a more robust alternative to Python worker-and-queue systems, as might be built atop frameworks like Celery and RQ. It offers a way to do “real-time map/reduce style computation” against live streams of data. It can also be a powerful way to scale long-running, highly parallel Python processes in production.

Demo

Documentation

User Group

Follow the project’s progress, get involved, submit ideas and ask for help via our Google Group, streamparse@googlegroups.com.

Contributors

Alphabetical, by last name:

Changelog

See the releases page on GitHub.

Roadmap

See the Roadmap.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

streamparse-3.6.0.tar.gz (127.8 kB view details)

Uploaded Source

Built Distribution

streamparse-3.6.0-py2.py3-none-any.whl (221.3 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file streamparse-3.6.0.tar.gz.

File metadata

  • Download URL: streamparse-3.6.0.tar.gz
  • Upload date:
  • Size: 127.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for streamparse-3.6.0.tar.gz
Algorithm Hash digest
SHA256 832eb827f4a942a1491e33851e5dfefce2455cca1fad0da7f36f8c14c12ad88a
MD5 909e0f0e3afb16449c39bc2afb8c2f00
BLAKE2b-256 cccd88b98af16d562ca9dbdf023f625689d53bb78d20b8cee497e3b5b2ed962d

See more details on using hashes here.

Provenance

File details

Details for the file streamparse-3.6.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for streamparse-3.6.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 33a933e71e452a23bcecc28590b0f807c806a251dc84fd01601a74e1aab0352f
MD5 73a8189dc42ae17186768d50e992e5b3
BLAKE2b-256 73741de5ccdca88629c9f84c071367ffe437efd53b49fcdfa045405fcf212764

See more details on using hashes here.

Provenance

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