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tstore is a library for flexible storage and processing of time series data.
- TStore: hierarchically-structured specification to efficiently store geospatial time series data based on Apache Parquet and GeoParquet.
- TSDF: tabular Python object to store univariate and multivariate time series data, with support for pandas, dask and polars.
See the key concepts page of the documentation for more details of the background and tstore features.
To discover all TStore download, manipulation, analysis and plotting utilities, or how to contribute your custom retrieval to TStore:
- please read the software documentation available at tstore.readthedocs.io/en/latest/.
- dive into the Jupyter Notebooks Tutorials.
TStore can be installed via conda on Linux, Mac, and Windows. Install the package by typing the following command in the terminal:
conda install ts-storeIn case conda-forge is not set up for your system yet, see the easy to follow instructions on conda-forge.
TStore can be installed also via pip on Linux, Mac, and Windows. On Windows you can install WinPython to get Python and pip running.
Install the TStore package by typing the following command in the terminal:
pip install ts-storeTo install the latest development version via pip, see the documentation.
If you aim to contribute your data or discuss the future development of TStore, we highly suggest to join the TStore Slack Workspace
Feel free to also open a GitHub Issue or a GitHub Discussion specific to your questions or ideas.
If you are using TStore in your publication please cite our Zenodo repository:
Ghiggi Gionata. ltelab/tstore. Zenodo.
If you want to cite a specific software version, have a look at the Zenodo site.
The content of this repository is released under the terms of the MIT license.
- mamba, which can be installed using conda or mambaforge (see the official installation instructions)
- snakemake, which can be installed using conda or mamba
- Create a conda environment:
snakemake -c1 create_environment- Activate it (if using conda, replace
mambaforconda):
mamba activate tstore- Register the IPython kernel for Jupyter:
snakemake -c1 register_ipykernel- Activate pre-commit for the git repository:
pre-commit install
pre-commit install --hook-type commit-msg- Based on the cookiecutter-data-snake 🐍 template for reproducible data science.