semvec/pypi-packages huggingface dataset:
sertit 1.51.0
SERTIT python library for generic tools
License: Apache 2.0
Requires Python: >=3.10

[![pypi](https://img.shields.io/pypi/v/sertit.svg)](https://pypi.python.org/pypi/sertit)
[![Conda](https://img.shields.io/conda/vn/conda-forge/sertit.svg)](https://anaconda.org/conda-forge/sertit)
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[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)
[![Apache](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/sertit/sertit-utils/blob/main/LICENSE)
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# 🧰 Sertit-Utils

Library gathering functions for all SERTIT's projects.

Find the API documentation [**here**](https://sertit-utils.readthedocs.io/latest/).

## 🛠️ Installation

### Pip

For installing this library to your environment, please type this: `pip install sertit[full]`

`[full]` will allow you to use the whole library, but you will need to install also all the optional libraries, notably `rioxarray`, `geopandas` and `dask` (see the [pyproject file](https://github.com/sertit/sertit-utils/blob/main/pyproject.toml) for more details)

However, if you do not need everything, you can type instead:

- `pip install sertit`, if you don't any optional libraries 
- `pip install sertit[rasters_rio]`, and you won't need `rioxarray`
- `pip install sertit[rasters]`
- `pip install sertit[colorlog]` to have `colorlog` installed
- `pip install sertit[dask]` to have `dask` installed

### Conda

You can install it via conda (but you will automatically have the full version):

`conda install -c conda-forge sertit`

## 📝 License

**Sertit-Utils** is licensed under Apache License v2.0. See LICENSE file for details.

## 🖋️ Authors

**Sertit-Utils** has been created by [ICube-SERTIT](https://sertit.unistra.fr/).