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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