semvec/pypi-packages huggingface dataset:
openports 0.0.3
🔍⚡ Lightning-fast port scanner and process manager
Requires Python: >=3.6
Keywords: port scanner, network tools, process manager, developer tools, network debugging, port checker, system administration, devops, tcp, udp, listening ports, process killer, network monitoring, cross-platform, command line, terminal, sysadmin


# OpenPorts 🔍⚡

**Lightning-fast port scanner and process manager for developers**

Stop wondering what's running on your ports. OpenPorts gives you instant visibility into your system's network activity with beautiful, actionable insights.

## ✨ Features
- 🚀 **Blazing Fast**: Optimized algorithms for instant port discovery
- 🎯 **Smart Filtering**: Find exactly what you're looking for
- 💀 **Process Control**: Kill processes with confidence
- 🎨 **Beautiful Output**: Rich terminal UI (when available)
- 🔧 **Developer Friendly**: Perfect for debugging and development
- 🌍 **Cross Platform**: Works on Windows, macOS, and Linux

## Quick Start
```bash
pip install openports
openports              # List all listening ports
openports -p 3000      # Check specific port
openports -s react     # Find React processes
openports -k 3000      # Kill process on port 3000
```

Perfect for developers, DevOps engineers, and anyone who needs to understand their system's network activity.
firefly 3.4.1
A browser-based particle visualization platform
Requires Python: >=3.6


# Firefly

[![PyPI](https://img.shields.io/pypi/v/Firefly)](https://pypi.org/project/Firefly)
<a href="https://ascl.net/1810.021"><img src="https://img.shields.io/badge/ascl-1810.021-blue.svg?colorB=262255" alt="ascl:1810.021" /></a>

![logo banner](https://github.com/ageller/Firefly/blob/main/docs/source/_static/four_view_banner.png?raw=true)


Firefly is an interactive viewer for any particle-based data. A live example is available [here](https://ageller.github.io/Firefly/)
or if you're ready to get started creating your own interactive viewer, [click here](https://firefly.rcs.northwestern.edu/docs/data_reader).

If you use Firefly, please cite our [ApJS paper](https://ui.adsabs.harvard.edu/abs/2023ApJS..265...38G/abstract) and our [entry in the Astrophysics Source Code Library (ASCL)](http://adsabs.harvard.edu/abs/2018ascl.soft10021G).

## Additional Docs

Comprehensive documentation is available [here](https://firefly.rcs.northwestern.edu/docs).

## Contributors 
### Primary Developers
* Aaron Geller
* Alex Gurvich
### Past Contributors 
* Mike Cronin
* Zach Hafen
* Alessandro Febretti
### Student Contributors
* Mahlet Shiferaw 
* Luolei Zhao
* Nora Linzer
### Project PI
* Claude-André Faucher-Giguère 


## Acknowledgments
Firefly is written in WebGL using the three.js library.
This tool builds off of a [previous version developed by Alessandro Febretti](https://github.com/nuitrcs/firefly). 

This project is funded by [Northwestern's Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA)](https://ciera.northwestern.edu/),  [Northwestern's IT Research Computing group](https://www.it.northwestern.edu/research/index.html), and NSF grants AST-1412836, AST-1715216, and CAREER award AST-1652522 awarded to [Claude-André Faucher-Giguère](https://www.physics.northwestern.edu/people/faculty/core-faculty/claude-andre-faucher-giguere.html).


## Additional Info
Firefly was originally designed for [FIRE](http://galaxies.northwestern.edu/fire-simulations/) data, but has since been extended to support any particle data.
This package should not be confused with the serendipitously named web-based visualization software [Firefly, from Caltech-IPAC](https://github.com/Caltech-IPAC/firefly), a general tool for retrieving and viewing astronomy data.
gr-envs 1.0
Package to receive goal-directed environments
Requires Python: >=3.11

# GREnvs
Gym Environments adjusted to Goal Recognition tasks.

## Installation
This repo is installable.
The name of the package is gr_envs.
The package serves as an extension with multiple gym environments and registration bundles that specifically fit GR frameworks, namely they are goal-conditioned.

The repo is distributed to Pypi.
to install the repo:
`pip install gr_envs`

Installing the repo registers the environments to gym, effectively enabling you to run your script\framework having the environments existing out-of-the-box.

If you're on windows and using vscode, you will need Microsoft Visual C++ 14.0 or greater. you can download a latest version here: https://visualstudio.microsoft.com/visual-cpp-build-tools/

### Installing Extras
This package offers additional environments via optional extras. To install a specific environment extra, include it in the pip install command:

- **Minigrid Environment:**  
  Installs the `minigrid` dependency.
  ```bash
  pip install gr_envs[minigrid]
  ```

- **Panda Environment:**  
  Installs the `panda_gym` dependency.
  ```bash
  pip install gr_envs[panda]
  ```

- **Parking Environment:**  
  *(Corresponds to the `highway-env` dependency.)*  
  ```bash
  pip install gr_envs[highway]
  ```

- **Point-Maze Environment:**  
  *(Corresponds to the `gymnasium-robotics` dependency.)*  
  ```bash
  pip install gr_envs[maze]
  ```

## Supported envs:
- **Minigrid**
- **Panda**
- **Parking**
- **Point-Maze**

## Contributing
Contributions are welcome! Please feel free to submit a pull request or open an issue if you have any suggestions or improvements.

## License
This project is licensed under the MIT License.