BulletLab v0.1.5
This release focuses on establishing BulletLab as a mature open-source project by introducing repository governance, contributor guidelines, software citation support, and long-term project planning.
Highlights
Community & Open Source
- Added a comprehensive Contributing Guide with development setup, coding standards, pull request workflow, and documentation guidelines
- Introduced a Code of Conduct to foster a welcoming and collaborative community
- Added a Support Guide describing where to ask questions, report bugs, and request new features
Research & Citation
- Added an official CITATION.cff file
- Enabled GitHub's "Cite this repository" feature for academic software citation
- Improved software discoverability and reproducibility for research projects
Project Governance
- Introduced a Security Policy outlining responsible vulnerability disclosure procedures
- Added a long-term Roadmap documenting the future direction and planned milestones of BulletLab
- Established community health files following GitHub best practices
Documentation
- Updated the README with links to all community resources
- Improved project organization and repository navigation
- Refined the repository structure for contributors and new users
About BulletLab
BulletLab is a robotics experimentation framework built on PyBullet that transforms robots into intuitive Python objects while providing modern ImGui-based controls, telemetry, visualization, and reinforcement learning workflows.
Installation
pip install --upgrade bulletlabLinks
Documentation: https://nuclearvenom.github.io/BulletLab/
Repository: https://github.com/NuclearVenom/BulletLab/