semvec/pypi-packages huggingface dataset:
pypsa2smspp 0.0.2
Bi-directional interface between PyPSA and SMS++
Requires Python: >=3.12

# pypsa2smspp

[![Tests](https://github.com/SPSUnipi/pypsa2smspp/actions/workflows/test.yml/badge.svg)](https://github.com/SPSUnipi/pypsa2smspp/actions/workflows/test.yml)
 
This package aims at providing a python interface between [PyPSA](https://github.com/PyPSA/pypsa) and [SMS++](https://gitlab.com/smspp/smspp-project) models using a simple python interface.
The package aims to support:
- Convert a PyPSA model to SMS++
- Execute the optimization of the so-created SMS++ model
- Parse the solution from the SMS++ model to PyPSA


## How to develop

1. First, clone the repository using git:

    ```bash
        git clone https://github.com/SPSUnipi/pypsa2smspp
    ```

2. Create a virtual environment using venv or conda.
    For exaample, using venv:

    ```bash
        python -m venv .venv
        source .venv/bin/activate
    ```
   
    Alternatively, using conda:

    ```bash
        conda create -n pypsa2smspp python=3.10
        conda activate pypsa2smspp
    ```

3. Install the required packages and pre-commit hooks:

    ```bash
        pip install -e .[dev]
        pre-commit install
    ```

    Note that the `-e` command line option installs the package in editable mode, so that changes to the source code are immediately available in the environment being used. The `[dev]` option installs the packages required for development. The `pre-commit install` command installs the pre-commit hooks, which are used to check the code before committing to ensure code quality standards.

4. Develop and test the code. For testing, please run:

    ```bash
        pytest
    ```
acoustic-toolbox 0.2.2
Acoustic Toolbox module for Python.
Requires Python: >=3.11

<p align="center">
    <img height="200px" src="https://raw.githubusercontent.com/Universite-Gustave-Eiffel/acoustic-toolbox/main/docs/images/logo_txt.png" />
    <!-- <h1 align="center">Acoustic Toolbox</h1> -->
</p>

<p align="center">
    <img src="https://badgen.net/static/science/enabled/green" />
    <a href="https://pypi.org/project/acoustic-toolbox/"><img src="https://badgen.net/pypi/v/acoustic-toolbox" /></a>
    <a href="LICENSE"><img src="https://badgen.net/github/license/Universite-Gustave-Eiffel/acoustic-toolbox" /></a>
    <img src="https://badgen.net/github/checks/Universite-Gustave-Eiffel/acoustic-toolbox" />
    <img src="https://readthedocs.org/projects/acoustic-toolbox/badge/?version=latest&style=flat">
</p>

The `acoustic-toolbox` module is a Python module with useful tools for acousticians.

## Installation

The latest release can be found on PyPI and installed with `pip install acoustic-toolbox`.

Otherwise, you can clone this repository and install with `pip install` or `pip install -e` when you want an editable install.

## Examples

Several examples can be found in the `docs/examples` folder.

## Tests

The test suite can be run with

`uv run pytest`

## Documentation

Documentation can be found [online](http://acoustic-toolbox.readthedocs.io/).

## License

`acoustic-toolbox` is distributed under the BSD 3-clause license. See `LICENSE` for more information.

## Contributing

Contributors are always welcome.

Setting up the development environment and dependency management is done with `uv`. `uv` can be installed [from source](https://docs.astral.sh/uv/getting-started/installation/#standalone-installer) or with `pip install uv`.

To install the development environment, run `uv sync --all-extras` in the root of the repository. This will setup a `.venv` and install all dependencies including dev and docs dependencies.

Documentation and examples are stored in the `docs/` folder and built with `uv run mkdocs serve` or `uv run mkdocs build` from .

## Origin project

This project is based on the amazing work initially done here: [python-acoustics](https://github.com/python-acoustics/python-acoustics)
pq-webauthn 0.0.1
Server-side WebAuthn with ML-DSA
Requires Python: >=3.8
Keywords: cryptography, post-quantum, pqc

# pq-webauthn

Server-side WebAuthn with ML-DSA

## Installation

```bash
pip install pq-webauthn
```

## Usage

```python
import pq_webauthn

# Coming soon
```

## License

MIT
pq-bitcoin-taproot 0.0.1
Taproot-compatible PQ signatures
Requires Python: >=3.8
Keywords: cryptography, post-quantum, pqc

# pq-bitcoin-taproot

Taproot-compatible PQ signatures

## Installation

```bash
pip install pq-bitcoin-taproot
```

## Usage

```python
import pq_bitcoin_taproot

# Coming soon
```

## License

MIT
pq-solana-signer 0.0.1
Solana transaction signing with PQ
Requires Python: >=3.8
Keywords: cryptography, post-quantum, pqc

# pq-solana-signer

Solana transaction signing with PQ

## Installation

```bash
pip install pq-solana-signer
```

## Usage

```python
import pq_solana_signer

# Coming soon
```

## License

MIT
pq-eth-signer 0.0.1
Ethereum transaction signing with PQ
Requires Python: >=3.8
Keywords: cryptography, post-quantum, pqc

# pq-eth-signer

Ethereum transaction signing with PQ

## Installation

```bash
pip install pq-eth-signer
```

## Usage

```python
import pq_eth_signer

# Coming soon
```

## License

MIT
pq-rng 0.0.1
Deterministic RNG for PQ (testing)
Requires Python: >=3.8
Keywords: cryptography, post-quantum, pqc

# pq-rng

Deterministic RNG for PQ (testing)

## Installation

```bash
pip install pq-rng
```

## Usage

```python
import pq_rng

# Coming soon
```

## License

MIT
pq-pkcs7 0.0.1
PKCS#7 signatures with PQ
Requires Python: >=3.8
Keywords: cryptography, post-quantum, pqc

# pq-pkcs7

PKCS#7 signatures with PQ

## Installation

```bash
pip install pq-pkcs7
```

## Usage

```python
import pq_pkcs7

# Coming soon
```

## License

MIT
adept-evo 0.9.6
Automated Dynamics-Aware Evolutionary Profiling Tool (ADEPT)
Requires Python: >=3.7

# Dynamics-aware Evolutionary Profiling Uncouples Structural Rigidity from Functional Motion to Enable Enhanced Variant Interpretation

The identification of dynamic-conserved residues via the Dynamics-aware Evolutionary Profiling may fundamentally expand the boundaries of the druggable proteome and improve the resolution of genetic and evolutionary data.

This repository contains the source code and datasets for the large-scale statistical analysis presented in the manuscript. It encompasses the processing, scoring, and benchmarking of across two distinct cohorts.

We also provide an open-access web interface, https://www.karagolresearch.com/adept

## Citation
If you use this framework in your research, please cite:

* Karagöl, T., & Karagöl, A. (2026). Dynamics-aware Evolutionary Profiling Uncouples Structural Rigidity from Functional Motion to Enable Enhanced Variant Interpretation.

### License
This project is licensed under the MIT License - see the LICENSE file for details.
must-tui 0.1.2
A simple TUI to inspect MUST telemetry and housekeeping.
Requires Python: >=3.12

# must-tui

A terminal user interface application for MUST. MUST is the 'Mission Utility and Support Tools' framework which is used by most current spacecraft flight control teams at ESOC, DLR, and CNES. This TUI is a user friendly interface for user who prefer using a terminal.

## Features

- Fast and responsive CLI
- Cross-platform support
- Intuitive navigation

## Installation

```bash
uv tool install must-tui
```

## Usage

```bash
must-tui
```

## Development

```bash
git clone https://github.com/KU-Leuven/must-tui
cd must-tui
uv venv
source .venv/bin/activate
uv sync
```

## License

MIT

## Contributing

Contributions are welcome! Please open an issue or submit a pull request.
testrift-server 0.5.0
TestRift real-time test run server: live logs, results storage, and web UI for browsing and analysis.
Requires Python: >=3.10

## TestRift Server (`testrift-server`)

Python server for TestRift real-time test runs: live log streaming, result storage, and a web UI for browsing and analysis.

![Tests](https://github.com/testrift/testrift-server/actions/workflows/tests.yml/badge.svg)

### Experimental

TestRift is currently in an **experimental** phase. APIs, configuration, and data formats may change at any time **without notice**.

### Install

```bash
pip install testrift-server
```

### Run

```bash
testrift-server
```

Or:

```bash
python -m testrift_server
```

### Configuration

- The server loads configuration from either:
  - `testrift_server.yaml` in the directory you run `testrift-server` from, or
  - `TESTRIFT_SERVER_YAML` (a filesystem path to a YAML config file; absolute path recommended). If set, the server will **fail to start** if the file does not exist.

For the full configuration reference, see [server_config.md](docs/server_config.md).