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 time-series 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. The API was optimised to visualise time-series and data labels with Grafana.
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
Get in touch
Report bugs, suggest features, view the source code, and ask questions on GitHub.
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