semvec/pypi-packages huggingface dataset:
robopal 0.4.1
robopal: A Novel Simulation Framework based Mujoco
Requires Python: >=3.8


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**robopal** is a multi-platform, modular robot simulation framework based on [MuJoCo](http://mujoco.org/) physics engine, which is mainly used for reinforcement learning training and control algorithm implementation of robotic arms. Please check the [Documentation](https://robopal.readthedocs.io/) for more information.

**robopal** 是一个基于 [MuJoCo](http://mujoco.org/) 物理引擎搭建的多平台的，模块化的机器人仿真框架，主要用于机械臂的强化学习训练与控制算法实施。

robopal 为您提供了：
* 采用 [Mujoco](http://mujoco.org/) 原生 API 计算机械臂动力学与[运动学]()，无需额外安装扩展库，提高运行帧数
* 简洁的代码结构，没有复杂的嵌套关系，方便快速上手学习和使用
* 具备 [Gymnasium]() 风格的单臂环境与 [PettingZoo]() 风格的双臂环境，方便集成大部分的单/多智能体强化学习算法库(eg. [stable-baselines3]()，[MARL]())
* 提供多种基础控制方案，如关节空间/笛卡尔空间的位置控制、速度控制、阻抗控制，并提供了遥操作接口
* 提供丰富的任务环境示例，如 ConveyorBelt，PickAndPlace, Drawer, Cabinet，VisualServo等
* 模块化定制 MJCF 描述的机器人场景模型，可自由组合搭配场景，基座，机械臂，末端执行器和物体

请查看[文档](https://robopal.readthedocs.io/)以获取更多信息 (更新中)

---
## Getting Started  

### Preparation

* **Windows** / **Linux**
* [MuJoCo-3.1.5](http://mujoco.org/)
* Python 3.8 +

### Install from pip
> You are advised to **Install from source** to obtain the latest version

```commandline
$ pip install robopal
```

### Install from source
  
   ```python
   # Clone robopal
   $ git clone https://github.com/NoneJou072/robopal
   $ cd robopal
   # Install robopal and its requirements.
   $ pip install -r requirements.txt
   ```

### Run a demo

```bash
python -m robopal.demos.demo_controllers
```

## Contribute
robopal currently has many shortcomings. Welcome to raise questions or leave suggestions in [Issue](), and also welcome to [Pull Request]() to improve this project together.

## Citation
Please cite robopal if you find useful in this work:
```bibtex
@software{Zhou_robopal_A_Simulation_2024,
author = {Zhou, Haoran and Huang, Yichao and Zhao, Yuhan and Lu, Yang},
doi = {10.5281/zenodo.11078757},
month = apr,
title = {{robopal: A Simulation Framework based Mujoco}},
url = {https://github.com/NoneJou072/robopal},
version = {0.3.1},
year = {2024}
}
```
openpy-ts-clu 0.1.1
Library for time series clustering
Requires Python: <4.0,>=3.10

OpenPy-TS-Clu
===========================================
OpenPy-TS-Clu is a Python library based on the development of [OpenTC-AMI](https://sourceforge.net/projects/opentc-ami/) that allows using data mining techniques to obtain models and patterns representative of user groups.

## Installation

With pip

``pip install openpy-ts-clu``

Without pip, clone or download the repository, in the dist folder is the .whl file, copy the location of the file, and in the CMD:

``pip install {path-save-files}/openpy_ts_clu-{version}-py3-none-any.whl’``

<div id='id2'/>

If you have installation problems, you can contact us by email (**jlara@iee.unsj.edu.ar**) or through the same GitHub and according to the error that appears in the console we can give the necessary technical support.

## How to use  <a name="id1"></a>

First, in the IDE (Integrated Development Environment) of preference, we import the library:

```Python
from openpy_ts_clu import clustering_kmeans, scenarios
```

## License

License: CC BY-NC-SA 4.0

<a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png" /></a><br />

This work has a license <a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>.