semvec/pypi-packages huggingface dataset:
geomie3d 0.0.11
Python library for processing 3d geometry
Requires Python: >=3.10

# geomie3d
- documentation can be found at https://chenkianwee.github.io/geomie3d

## Installation
- For the core library without visualization
    - pip install geomie3d
- Core library and 3d visualization
    - pip install geomie3d[viewer3d]

## dependencies
- numpy
- pyqtgraph
- pyopengl
- PyQt6
- python-dateutil
- nurbs-python
- earcut-python

### If you want to manually install the library:
1. Install Python =<3.10 (https://www.python.org/)
2. Create a virtual environment with 'py -m venv geomie3d' this will create a virtual environment in the directory ray of your current directory (https://realpython.com/python-virtual-environments-a-primer/#deactivate-it)
3. Activate the environment geomie3d\Scripts\activate, for linux -> source geomie3d/bin/activate
4. Install VScode
5. Install geomie3d https://github.com/chenkianwee/geomie3d
6. Install 'pip install numpy==2.0.1'
7. install 'pip install pyqtgraph==0.13.7'
8. install 'pip install PyOpenGL==3.1.7'
9. install 'pip install PyQt6==6.7.1'
10. install dateutil 'pip install python-dateutil==2.9.0'

## Opengl issue with visualizing 3d geometries on Ubuntu 22.04
if this happen when running geomie3d
```
Failed to create wl_display (No such file or directory)
```
go to viz module and change the following
```
os.environ['QT_QPA_PLATFORM'] = 'wayland-egl' -> os.environ['QT_QPA_PLATFORM'] = 'egl'
```

If the openGL is giving you issue with the viz function do this to solve the issue 
1. go to /etc/gdm3/custom.conf and uncomment WaylandEnable=false
2. go to /etc/environment and add this line QT_QPA_PLATFORM=xcb to the file
gentropy 3.1.1
Open Targets python framework for post-GWAS analysis
Requires Python: <3.14,>=3.11

<p align="center">
  <img width=100% height=250px src="https://raw.githubusercontent.com/opentargets/gentropy/dev/docs/assets/imgs/gentropy.svg">
</p>

<p align="center">
<a href="https://github.com/astral-sh/ruff"><img src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json" alt="Ruff" /></a>
<a href="https://pypi.python.org/pypi/gentropy/"><img src="https://img.shields.io/pypi/pyversions/gentropy.svg" alt="PyPI pyversions" /></a>
<a href="https://badge.fury.io/py/gentropy"><img src="https://badge.fury.io/py/gentropy.svg" alt="PyPI version" /></a>
<a href="https://opentargets.github.io/gentropy/"><img src="https://github.com/opentargets/gentropy/actions/workflows/release.yaml/badge.svg" alt="image" /></a>
<a href="https://codecov.io/gh/opentargets/gentropy"><img src="https://codecov.io/gh/opentargets/gentropy/branch/main/graph/badge.svg?token=5ixzgu8KFP" alt="codecov" /></a>
<a href="https://opensource.org/licenses/Apache-2.0"><img src="https://img.shields.io/badge/License-Apache_2.0-blue.svg" alt="License" /></a>
<a href="https://doi.org/10.5281/zenodo.10527086"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.10527086.svg" alt="DOI" /></a>
</p>

Open Targets Gentropy is a Python package to facilitate the interpretation and analysis of GWAS and functional genomic studies for target identification. The package contains a toolkit for the harmonisation, statistical analysis and prioritisation of genetic signals to assist drug discovery.

## Installation

We recommend to install Open Targets Gentropy using Pypi:

```bash
pip install gentropy
```

For alternative ways to install the package visit the [Documentation](https://opentargets.github.io/gentropy/installation/)

## References

- [Documentation](https://opentargets.github.io/gentropy/)
- [Issue tracker](https://github.com/opentargets/issues/issues)

## About Open Targets

Open Targets is a pre-competitive, public-private partnership that uses human genetics and genomics data to systematically identify and prioritise drug targets. Through large-scale genomic experiments and the development of innovative computational techniques, the partnership aims to help researchers select the best targets for the development of new therapies. For more information, visit the Open Targets [website](https://www.opentargets.org).
torsh 0.1.2
Transmission TUI client
Requires Python: >=3.10

# 🌊 Torsh — Transmission TUI

[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)
[![PyPI](https://img.shields.io/pypi/v/torsh.svg)](https://pypi.org/project/torsh/)
[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)

A beautiful, modern TUI client for Transmission. One command, full control.

## ✨ Features

- 📊 **Dashboard View** — Sparklines, disk usage, real-time stats
- 🎯 **Smart Filters** — By name, status, or progress
- 📁 **File Browser** — View and prioritize individual files
- 🔗 **Tracker Info** — Monitor tracker status and peer counts
- 🔔 **Notifications** — Toast alerts when downloads complete
- ⌨️ **Vim Keys** — `j`/`k` navigation, power-user friendly
- 💾 **Session Persistence** — Remembers your filters and sort order
- 🚀 **Auto-Start** — Launches daemon automatically if needed

## 📦 Install

```bash
# Recommended (isolated environment)
pipx install torsh

# Or with pip
pip install torsh
```

Requires Python 3.10+. If `transmission-daemon` is missing, torsh can install it automatically.

## 🚀 Usage

```bash
torsh
```

That's it! Torsh will start the daemon if needed and connect automatically.

### Options

```bash
torsh --host localhost --port 9091
torsh --download-dir ~/Downloads/torrents
torsh --no-autostart  # Don't start daemon automatically
```

## ⌨️ Keyboard Shortcuts

| Key | Action |
|-----|--------|
| `a` | Add magnet/torrent file |
| `d` | Delete torrent (with data) |
| `Space` | Pause/Resume |
| `s` | Set global speed limits |
| `p` | Set file priorities |
| `/` | Filter by name |
| `c` | Cycle status filter |
| `g` | Move download location |
| `?` | Show help |
| `q` | Quit |

**Navigation:** `j`/`k` scroll, `G` bottom, `Tab` switch panes

**Sorting:** Click headers or press `1`-`8`

## ⚙️ Configuration

Config is auto-created at `~/.config/torsh/config.yaml`.

Environment variables:
- `TORSH_HOST`, `TORSH_PORT` — RPC connection
- `TORSH_USER`, `TORSH_PASSWORD` — Authentication
- `TORSH_DOWNLOAD_DIR` — Default download directory
- `TORSH_LOG` — Log level (DEBUG, INFO, etc.)

## 📝 License

MIT © 2024