Data Sources & Attribution

Our Commitment to Open Data

Day Off Atlas is built entirely on open-source, commercially-licensed data. We believe in transparency and proper attribution for the work of the open-source community.

Primary Data Source

python-holidays

License: MIT License
Repository: github.com/vacanza/python-holidays
Coverage: 100+ countries and territories

python-holidays is a comprehensive Python library that provides official public holiday data for countries and regions worldwide. The library is actively maintained and regularly updated with the latest holiday schedules.

MIT License Summary

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files, to deal in the software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the software.

Data Quality & Accuracy

The python-holidays library sources its data from:

  • Official government sources and legislation
  • National holiday calendars
  • Community contributions and verification
  • Historical records and cultural references

While we strive for accuracy, public holidays can change. We recommend:

  • Verifying critical dates with official government sources
  • Checking with your employer for company-specific policies
  • Being aware that regional variations may exist

Data Processing

Our autonomous data pipeline:

  1. Fetches holiday data from python-holidays for all supported countries
  2. Processes holidays for a rolling 3-year window (previous, current, and next year)
  3. Calculates long weekend opportunities and bridge days
  4. Computes working days statistics for each country and region
  5. Generates static pages for optimal performance
  6. Updates automatically on a weekly schedule

Regional and Subdivision Data

For countries with regional variations (states, provinces, territories), we include subdivision-specific holiday data where available in python-holidays. This includes:

  • United States (by state)
  • Canada (by province and territory)
  • Australia (by state and territory)
  • Germany (by state)
  • And many more...

Contributing to Data Quality

If you notice incorrect or missing holiday data, we encourage you to:

  1. Contribute directly to the python-holidays project on GitHub
  2. Contact us with details so we can investigate and report upstream
  3. Provide official sources or documentation for verification

Improvements to python-holidays automatically benefit Day Off Atlas and the entire community.

Commercial Use License

The MIT License permits commercial use, which is why Day Off Atlas can operate as a revenue-supported service through advertising. We are deeply grateful to the python-holidays maintainers and contributors for making this possible.

Additional Resources

Questions or Concerns

If you have questions about our data sources, methodology, or licensing, please contact us.