datafun-streaming
Shared Python utilities for Kafka, DuckDB, validation, stats, and visualization across streaming data analytics projects.
Command Reference
Show command reference
In a machine terminal
Open a machine terminal where you want the project:
git clone https://github.com/denisecase/datafun-streaming
cd datafun-streaming
code .
In a VS Code terminal
# reset uv cache if strange dependency errors appear
# uv cache clean
uv self update
uv python pin 3.14
uv sync --extra dev --extra docs --upgrade
uvx pre-commit install
git add -A
uvx pre-commit run --all-files
# repeat if changes were made
git add -A
uvx pre-commit run --all-files
# do chores
uv run python -m pyright
uv run python -m pytest
uv run python -m zensical build
# save progress
git add -A
git commit -m "update"
git push -u origin main
1 maintainer
Release files for datafun-streaming 0.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| datafun_streaming-0.7.0.tar.gz | 27.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datafun_streaming-0.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 54.5 kB
Release files / datafun_streaming-0.7.0.tar.gz
| Download URL | datafun_streaming-0.7.0.tar.gz |
|---|---|
| Size | 27.4 kB |
| Tags | Source |
|
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? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
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Transparency logRelease files / datafun_streaming-0.7.0-py3-none-any.whl
| Download URL | datafun_streaming-0.7.0-py3-none-any.whl |
|---|---|
| Size | 27.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on May 9, 2026.
Transparency log
