Metadata-Version: 2.3
Name: tfs_viewer
Version: 0.2.1
Summary: A Streamlit application to explore data in TFS files.
Project-URL: homepage, https://github.com/fsoubelet/streamlit_tfs_viewer
Project-URL: repository, https://github.com/fsoubelet/streamlit_tfs_viewer
Author-email: Felix Soubelet <felix.soubelet@cern.ch>
License-Expression: MIT
License-File: LICENSE
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Typing :: Typed
Requires-Python: >=3.9
Requires-Dist: matplotlib>=3.8
Requires-Dist: plotly>=5.15
Requires-Dist: streamlit>=1.30
Requires-Dist: tfs-pandas>=3.8
Requires-Dist: watchdog>=4.0
Description-Content-Type: text/markdown

# TFS File Viewer

This is a prototype app using [streamlit][streamlit] to explore the contents of a **TFS** file.
It lets load and query your data, and visualize its headers and contents by creating and customizing scatter, histogram and density plots on the fly.
<!-- The app also integrates `pandas_profiling` to easily create a report on the data. -->

## Getting Started

[![Open in Streamlit][streamlit_badge]][demo_link]

To run the app locally, you will need to get [Poetry][poetry] and clone this repository.
Steps are simple:

```bash
git clone https://github.com/fsoubelet/tfs_viewer
cd tfs_viewer
pip install .
streamlit run tfs_viewer/app.py
```

## License

Copyright &copy; 2021 Felix Soubelet. [MIT License](LICENSE)

[streamlit]: https://streamlit.io/
[streamlit_badge]: https://static.streamlit.io/badges/streamlit_badge_black_white.svg
[demo_link]: https://share.streamlit.io/fsoubelet/streamlit_tfs_viewer/tfs_viewer/app.py
[poetry]: https://python-poetry.org/
