Tonik provides you with a solution to store and retrieve scientific data as well as serving it through an API. For visualisations, the API can serve large requests very quickly by downsampling the data to the requested resolution on demand.

• h5py
• datashader
• xarray
• pandas
• netcdf4
• h5netcdf
• python-json-logger
• uvicorn
• fastapi
• matplotlib (only needed to reproduce the examples in the user guide)

pip install -U tonik

Learn more about tonik in its official documentation

You can find information about contributing to tonik at our [Contributing page]

Report bugs, suggest features, view the source code, and ask questions on GitHub.