x-series
Modular Python utilities for entity extraction, validation, and graph-ready data pipelines — built for LLM and data engineering workflows.
- PyPI package: https://pypi.org/project/x-series/
- Free software: MIT License
- Documentation: https://x-series.readthedocs.io.
Features
- TODO
Credits
This package was created with Cookiecutter and the audreyfeldroy/cookiecutter-pypackage project template.
1 maintainer
Metadata
1 maintainer
Release files for x-series 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| x_series-0.1.0.tar.gz | 2.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| x_series-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.4 kB
Release files / x_series-0.1.0.tar.gz
| Download URL | x_series-0.1.0.tar.gz |
|---|---|
| Size | 2.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
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Release files / x_series-0.1.0-py3-none-any.whl
| Download URL | x_series-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.8 kB |
| Tags | 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/6.2.0 CPython/3.13.5
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