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.
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:
Dan Blanchard (@dsblanch)
Keith Bourgoin (@kbourgoin)
Arturo Filastò (@hellais)
Jeffrey Godwyll (@rey12rey)
Daniel Hodges (@hodgesds)
Wieland Hoffmann (@mineo)
Tim Hopper (@tdhopper)
Omer Katz (@thedrow)
Aiyesha Ma (@Aiyesha)
Andrew Montalenti (@amontalenti)
Rohit Sankaran (@roadhead)
Viktor Shlapakov (@vshlapakov)
Mike Sukmanowsky (@msukmanowsky)
Cody Wilbourn (@codywilbourn)
Curtis Vogt (@omus)
Changelog
See the releases page on GitHub.
Roadmap
See the Roadmap.
6 maintainers
Metadata
6 maintainers
Release files for streamparse 5.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| streamparse-5.0.1.tar.gz | 60.4 kB | Without provenance | Details for streamparse-5.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| streamparse-5.0.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for streamparse-5.0.1-py2.py3-none-any.whl |
Total release size: 138.8 kB
Release files / streamparse-5.0.1.tar.gz
| Download URL | streamparse-5.0.1.tar.gz |
|---|---|
| Size | 60.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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Release files / streamparse-5.0.1-py2.py3-none-any.whl
| Download URL | streamparse-5.0.1-py2.py3-none-any.whl |
|---|---|
| Size | 78.3 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.4
|
Security for streamparse 5.0.1
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