semvec/pypi-packages huggingface dataset:
molflux 0.8.0
A foundational package for molecular predictive modelling
Requires Python: >=3.10

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## What is MolFlux?

MolFlux is a foundational package for molecular predictive modelling. From data to features to models, MolFlux provides
you with a complete ecosystem for building and handling machine learning models!

## Installation
### With pip

```bash
pip install molflux
```

#### Optional Dependencies

Some functionalities in `molflux` require additional dependencies, which you can install as needed. For example

```bash
pip install molflux[rdkit]
```

## Documentation

To learn more about how to use ``molflux``, see the [documentation](https://exscientia.github.io/molflux/).

## Contribution guidelines

Anyone is welcome to submit PRs for new functionality or fixes! Just create a pull request and we will review and get back to
you.

## License
[MIT License](LICENSE)

## Acknowledgements

The ``molflux`` package has been developed by researchers and engineers at Exscientia

* Alan Bilsland
* Giovanni Bocci
* [Julia Buhmann](https://github.com/juliabuhmann)
* [Ward Haddadin](https://github.com/wardhaddadin1)
* Jonathan Harrison
* Henry Kenlay
* Dom Miketa
* Emil Nichita
* Stefanie Speichert
* Hagen Triendl
* [Alvise Vianello](https://github.com/amv213)
* Andy Wedlake
spiakid-drs 1.24
Data Reduction System of SPIAKID project
Requires Python: >=3.7

# Data Reduction System of SPIAKID

This project contains the **Data Reduction System** (DRS) of SPIAKID.

The **SPIAKID** (SpectroPhotometric Imaging in Astronomy with Kinetic Inductance Detectors) project aims at designing, building and deploying on the sky a spectrophotometric imager based on Kinetic Inductance detectors. More information can be found on the [SPIAKID project homepage](https://www.observatoiredeparis.psl.eu/spiakid.html).

The SPIAKID DRS is composed by Python code. 

## User documentation

User documentation of the DRS can be found [here](https://spiakid.pages.obspm.fr/DRS/index.html).

## Installation

Stable versions of SPIAKID DRS are packaged and distributed via **pip**. Before installing the SPIAKID DRS, create a virtual environment like:
```
pip install virtualenv # Install virtualenv
virtualenv venv_DRS # Create a virtual environment for the DRS
source venv_DRS/bin/activate # Activate the virtual environment for the DRS
```
then, install the SPIAKID DRS ith pip:
```
pip install spiakid-drs
```

### Requirements
The SPIAKID DRS requires Python 3.8 or later.



## Authors
The DRS is developped by Pasquale Panuzzo


## Project status and roadmap
The DRS is in a prototyping stage

## Support


## License
To be decided