Join the development community building the future of AI-powered data analysis for AFAS systems
We welcome contributions from developers, data analysts, and AFAS users worldwide
Create your own fork and submit pull requests with improvements
Follow PEP 8, use Black formatting, and include comprehensive tests
Help improve AFASAsk by reporting bugs and suggesting enhancements
Update docs for new features and help improve user guides
How to contribute code to the AFASAsk project
Create your own fork of the AFASAsk repository
Install dependencies and configure development environment
Create a branch for your feature or bug fix
Run tests and format code before committing
Create pull request with clear description
Understanding the AFASAsk codebase structure
Intelligent AI agents for data analysis, meta-analysis, and user interactions
Manages concurrent processing with max 5 pipelines and queue system
Native AFAS OAuth authentication and database connectivity
OAuth integration for dashboard creation and visualization
Help us improve AFASAsk by reporting issues and suggesting features
When reporting bugs, please include:
For feature requests, please include:
Current priorities and future plans for AFASAsk
Improved error messages and logging for better debugging
Enhanced dashboard creation and visualization options
Responsive design improvements for mobile devices
Query optimization and faster response times
Support for additional languages beyond Dutch and English
Enhanced analytical capabilities and dashboard features
Implement rate limiting and throttling for API endpoints
Additional security features and compliance measures
Custom machine learning models for specific datasets
More sophisticated chart types and interactive elements
Connect with more enterprise tools and platforms
Advanced user management and enterprise controls
Help us maintain a respectful and productive development community
We value all contributions to the AFASAsk project and recognize our community members
All contributors are acknowledged in our project documentation
Outstanding contributions are highlighted in release notes
Regular features highlighting community members and their work
Join our community of developers building the future of AI-powered data analysis for AFAS systems.