semvec/pypi-packages huggingface dataset:
iatikit 3.6.1
A toolkit for using IATI data.
License: MIT
Keywords: IATI

# iatikit

[![PyPI Package latest release](https://img.shields.io/pypi/v/iatikit.svg)](https://pypi.org/project/iatikit/)
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[![Supported versions](https://img.shields.io/pypi/pyversions/iatikit.svg)](https://pypi.org/project/iatikit/)
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iatikit is a toolkit for using [IATI data](https://iatistandard.org/). It includes a query language wrapper around [XPath](https://en.wikipedia.org/wiki/XPath), to make dealing with disparate IATI versions easier.

The name was inspired by [Open Contracting](https://www.open-contracting.org/)'s [ocdskit](https://pypi.org/project/ocdskit/).

## Installation

iatikit is tested for pythons 3.7 – 3.14.

You can install it using `pip`:

```sh
pip install iatikit
```

## Documentation

Check out [Read the Docs](https://iatikit.readthedocs.io)!

## Roadmap

The [github issue tracker](https://github.com/codeforIATI/iatikit/issues) will hopefully provide some idea.

## Development

You can set up a local version by creating a virtualenv and running:

```sh
pip install -r requirements_dev.txt
```

You can run tests with:

```sh
pytest
```

## Deployment

iatikit is [deployed to pypi](https://pypi.org/project/iatikit/) automatically by GitHub Actions whenever a new [tag is pushed to github](https://github.com/codeforIATI/iatikit/tags).

## License

This work is [MIT licensed](https://github.com/codeforIATI/iatikit/blob/main/LICENSE.md).
ramanchada2 1.3.1
Harmonising Raman Spectroscopy
License: MIT
Requires Python: <3.14,>=3.9
Keywords: Raman, spectroscopy

# ramanchada2

ramanchada2 is meant to fill the gap between the theoretical Raman analysis and the experimental Raman spectroscopy by providing means to compare data of different origin.

For more information, see:
* https://github.com/h2020charisma/ramanchada2
* https://h2020charisma.github.io/ramanchada2/ramanchada2.html
* https://github.com/h2020charisma/ramanchada2/tree/main/examples

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🇪🇺 This project has received funding from the European Union’s Horizon 2020 research and innovation program under [grant agreement No. 952921](https://cordis.europa.eu/project/id/952921).