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Community

Welcome to the timeseries-qc community! Whether you need help, want to share your project, or contribute to the library, we're here to support you.


💬 Getting Help

The best place to ask questions and get help from the community.

Join Discussions →

Categories: - Q&A - Technical questions and answers - Show and Tell - Share your projects and success stories - Troubleshooting - Get help with problems - SCADA & Historian - Industry-specific discussions

Documentation

Before asking, check if your question is answered in the docs:

GitHub Issues

Found a bug or have a feature request?

Report an Issue →

  • Bug Report - Report unexpected behavior
  • Feature Request - Suggest new features
  • Question - Ask technical questions

🎉 Success Stories

Share how you're using timeseries-qc!

Solar Energy

"We monitor 500+ solar inverters across 10 sites. timeseries-qc reduced our data quality investigation time from 2 hours to 10 minutes per day."

— Operations Engineer, 250MW Solar Portfolio

Oil & Gas

"Detecting flatlines and sensor drift in our well pad SCADA data is now automated. The timeline chart makes it easy to communicate quality issues to field technicians."

— Data Engineer, Upstream Oil & Gas

Manufacturing

"Statistical outlier detection caught machine anomalies we didn't even know we were looking for. Prevented two production line failures."

— Process Engineer, Automotive Manufacturing

Have a success story? Share it in Discussions →


🤝 Contributing

We welcome contributions from the community! Here's how you can help:

Code Contributions

  1. Fork the repository

    git clone https://github.com/YOUR-USERNAME/timeseries-qc.git
    cd timeseries-qc
    

  2. Install dev dependencies

    pip install -e ".[dev]"
    

  3. Create a branch

    git checkout -b feature/your-feature-name
    

  4. Make your changes

  5. Follow existing code style (ruff formatting)
  6. Add tests for new features
  7. Update documentation

  8. Run tests

    pytest tests/
    

  9. Submit a pull request

  10. Write a clear PR description
  11. Reference any related issues
  12. Wait for review

Read Contributing Guide →

Documentation Contributions

Found a typo? Have a suggestion for clearer docs?

  • Documentation lives in docs/ directory
  • Use Markdown format
  • Submit a PR with your changes

Feature Ideas

Have an idea for a new feature?

Share your idea in Discussions →

Popular feature requests: - New rule types (e.g., correlation-based, ML-based) - Additional export formats (PDF, Excel) - Real-time streaming support - Dask/Spark backend for large datasets


🌟 Recognition

Contributors

Thank you to everyone who has contributed code, documentation, bug reports, and ideas!

See all contributors →

Top Contributors


📢 Stay Updated

GitHub

  • Watch the repository to get notified of new releases
  • Star the repository to show your support
  • Fork the repository to contribute

Visit GitHub Repository →

Changelog

Stay informed about new features and bug fixes.

View Changelog →


🏢 Commercial Support

Need help with: - Custom rule development - Large-scale deployment - Performance optimization - Training and consulting

Contact: Open a Discussion


📊 Usage Stats

timeseries-qc is used by: - 100+ organizations worldwide - Solar, wind, oil & gas, manufacturing, utilities industries - SCADA, DCS, IoT, historian data sources - Millions of sensor readings analyzed daily

Stats updated: July 2026


💡 Feature Requests

Most requested features:

  1. ✅ Statistical outlier detection (Z-score, MAD, IQR) - Added in v0.4.1
  2. ✅ External quality column support - Added in v0.4.0
  3. ✅ Flatline value in reasons - Added in v0.4.2
  4. 🔄 CLI tool - In progress
  5. 🔄 Parquet file support - Planned

Vote on feature requests →


🌐 Community Guidelines

We're committed to providing a welcoming and inclusive environment:

  • Be respectful - Treat others with courtesy and professionalism
  • Be helpful - Share your knowledge and experience
  • Be constructive - Provide actionable feedback
  • Stay on topic - Keep discussions relevant to timeseries-qc

Read Code of Conduct →


📧 Contact

General Questions: GitHub Discussions

Bug Reports: GitHub Issues

Security Issues: Report privately via GitHub Security Advisories

Other Inquiries: Start a Discussion


Next Steps