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Store time series data as HDF5 files and access them through an API.

Project description

Tonik

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.

Requirements

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

Installation

pip install -U tonik

Documentation

Learn more about tonik in its official documentation

Contributing

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

Get in touch

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

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