An open API service indexing awesome lists of open source software.

https://github.com/fobersteiner/pyfuppes

A collection of Python tools
https://github.com/fobersteiner/pyfuppes

data-processing numpy pandas python python-polars

Last synced: 10 months ago
JSON representation

A collection of Python tools

Awesome Lists containing this project

README

          

[![License: LGPL v3](https://img.shields.io/badge/License-LGPL%20v3-blue.svg)](https://www.gnu.org/licenses/lgpl-3.0)
[![Build Status](https://github.com/FObersteiner/pyFuppes/actions/workflows/pyfuppes-ci.yml/badge.svg)](https://github.com/FObersteiner/pyFuppes/actions/workflows/pyfuppes-ci.yml)

# pyFuppes

A collection of tools in Python, mostly revolving around time series data analysis.

## Installation

- from the pypi: `pip install pyfuppes`

- (fork and) clone the repo, then run `pip install .` in the repo's directory (add `-e` for editable mode)

- from github, via pip (requires `git`, which you might have to install explicitly if using a virtual Python environment):

- specific tag:

```sh
pip install git+https://github.com/FObersteiner/pyFuppes.git@v0.5.2
```

- master branch, latest commit (not recommended; might include unstable changes):

```sh
pip install git+https://github.com/FObersteiner/pyFuppes.git@master # alternatively @latest
```

## Requirements

- currently (v0.5.0+) developed with Python 3.12. Python 3.10 and 3.11 should work, as covered by github CI.
- see [pyproject.toml](https://github.com/FObersteiner/pyFuppes/blob/master/pyproject.toml)

## Content / Docs

See or go to the [API reference](https://pyfuppes.readthedocs.io/en/latest/autoapi/index.html) directly.

## License

`LGPLv3` - see LICENSE file in the root directory of the repository.