Streamz helps you build pipelines to manage continuous streams of data. It is simple to use in simple cases, but also supports complex pipelines that involve branching, joining, flow control, feedback, back pressure, and so on.
Optionally, Streamz can also work with both Pandas and cuDF dataframes, to provide sensible streaming operations on continuous tabular data.
To learn more about how to use Streamz see documentation at streamz.readthedocs.org.
LICENSE
BSD-3 Clause
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3 maintainers
Release files for streamz 0.6.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| streamz-0.6.6.tar.gz | 98.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| streamz-0.6.6-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 177.0 kB
Release files / streamz-0.6.6.tar.gz
| Download URL | streamz-0.6.6.tar.gz |
|---|---|
| Size | 98.3 kB |
| Tags | Source |
|
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 |
twine/6.1.0 CPython/3.12.11
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Release files / streamz-0.6.6-py2.py3-none-any.whl
| Download URL | streamz-0.6.6-py2.py3-none-any.whl |
|---|---|
| Size | 78.7 kB |
| Tags | Python 2 Python 3 |
|
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/6.1.0 CPython/3.12.11
|
