Installation¶

Recommended first run¶

python -m pip install -e ".[starter]"
python -m tscfbench quickstart
python -m tscfbench doctor

Minimal install¶

python -m pip install -e .

That path keeps the dependency surface small and still supports quickstart, reports, and SVG fallback visuals.

Release wheel¶

python -m pip install tscfbench-1.8.0-py3-none-any.whl matplotlib
python -m tscfbench quickstart

PyPI-ready note¶

The project metadata in this release is prepared for pip install tscfbench[starter], but this artifact snapshot is not actually published to PyPI from the current environment.

If you are installing this for your own CSV¶

After installation, start with bring-your-own-data.md instead of the demo gallery.