semvec/pypi-packages huggingface dataset:
sai-mujoco 0.1.30
A collection of mujoco based robotics environments for the SAI platform.
License: MIT
Requires Python: >=3.10

# ArenaX Lab's Mujoco Environments

This package contains the Mujoco environments used for the SAI Platform.

## Installation

```bash
pip install sai-mujoco
```

## Usage

```python
import gymnasium as gym
import sai_mujoco

env = gym.make("HumanoidObstacle-v0")
```

# Environment List

- `HumanoidObstacle-v0`: A humanoid obstacle environment.
- `InvertedPendulumWheel-v0`: An inverted pendulum on a wheel environment.
- `RoboticArm-v0`: A robotic arm environment.

# More Information

- [SAI Platform](https://competesai.com)
- [SAI Documentation](https://docs.competesai.com)
kawin 0.4.0
Tool for simulating precipitation using the KWN model coupled with Calphad.
License: MIT
Requires Python: >=3.11

# kawin

Python implementation of the Kampmann-Wagner Numerical (KWN) model to predict precipitate nucleation and growth behavior. This package couples with pycalphad to perform thermodynamic and kinetic calculations.

Notes
-----
There has been a lot of changes in the API. Please check the examples for further details.
If you still have issues setting up a simulation, feel free to open an issue.

Installation
------------
Installing through pip:

```
pip install kawin
```

Development version:

```
git clone https://github.com/materialsgenomefoundation/kawin
cd kawin
pip install -e .
```

Examples
--------
Examples on Jupyter notebooks can be found on [NBViewer](https://nbviewer.org/github/materialsgenomefoundation/kawin/tree/main/examples/).

Dependencies
------------
numpy, scipy, matplotlib, pycalphad