Simple Playgrounds provides a modular platform for building interactive 2D grid environments where agents can navigate mazes, interact with objects, and complete tasks. Users define environment layouts, object behaviors, and reward functions via simple YAML or Python scripts. The integrated Pygame renderer delivers real-time visualization, while a step-based API ensures seamless integration with reinforcement learning libraries like Stable Baselines3. With support for multi-agent setups, collision detection, and customizable physics parameters, Simple Playgrounds streamlines the prototyping, benchmarking, and educational demonstration of AI algorithms.

The Mesa Predator-Prey Model is an open-source, Python-based implementation of the classic Lotka-Volterra predator-prey system, built atop the Mesa agent-based modeling framework. It simulates individual predator and prey agents moving and interacting on a grid where prey reproduce and predators hunt for food to survive. Users can configure initial populations, reproduction probabilities, energy consumption, and other environmental parameters through a web-based interface. The simulation provides real-time visualizations, including heatmaps and population curves, and logs data for post-run analysis. Researchers, educators, and students can extend the model by customizing agent behaviors, adding new species, or integrating complex ecological rules. The project is designed for ease of use, rapid prototyping, and educational demonstrations of emergent ecological dynamics.

WordCraft3D is a versatile tool that converts text descriptions into 3D models. Users can generate 3D models in the .obj format along with companion files like model.mtl and texture.png. This solution is designed for hobbyists, designers, and educators who want to quickly visualize concepts without deep knowledge of 3D modeling software. With accessible features and no cost to start, it provides an excellent gateway into 3D modeling.