Skip to main content

A Python library that provides methods for encoding and decoding TSDF (Time Series Data Format) data, which allows you to easily create, manipulate and serialize TSDF files in your Python code.

Project description

tsdf

Badges
Packages and Releases Latest release PyPI Static Badge
Build Status Python package
DOI DOI
License GitHub license
Fairness fair-software.eu OpenSSF Best Practices

A package (documentation) to load TSDF data (specification) into Python.

Installation

Using pip

The package is available in PyPi and requires Python 3.9 or higher. It can be installed using:

$ pip install tsdf

Usage

See our extended tutorials.

Development

Running tests

poetry install
poetry run pytest

Building the documentation

We use mkdocs to build the documentation. If you want to build the documentation locally, the following commands will prove useful:

mkdocs build       # build the documentation
mkdocs serve       # serve the documentation on a local server
mkdocs gh-deploy   # deploy the documentation to GitHub pages

Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

This package was created by Pablo Rodríguez, Peter Kok and Vedran Kasalica. It is licensed under the terms of the Apache License 2.0 license.

Credits

  • The TSDF data format was created by Kasper Claes, Valentina Ticcinelli, Reham Badawy, Yordan P. Raykov, Luc J.W. Evers, Max A. Little.
  • This package was created with cookiecutter and the py-pkgs-cookiecutter template.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tsdf-0.5.2.tar.gz (16.9 kB view hashes)

Uploaded Source

Built Distribution

tsdf-0.5.2-py3-none-any.whl (19.9 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page