References

Official Resources

Additory

Dependencies

Community

Contact

  • Author: Krishnamoorthy Sankaran
  • Email: krishnamoorthy.sankaran@sekrad.org

Contributing

Contributions are welcome! Please feel free to submit a Pull Request on GitHub.

Support

For issues, questions, or feature requests: - Open an issue on GitHub Issues - Email the author directly

Citation

If you use additory in your research or project, please cite:

@software{additory2026,
  author = {Sankaran, Krishnamoorthy},
  title = {Additory: Elegant data operations for DataFrames},
  year = {2026},
  url = {https://github.com/sekarkrishna/additory},
  version = {0.1.3a10}
}

License

Additory is released under the MIT License.

MIT License

Copyright (c) 2026 Krishnamoorthy Sankaran

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), 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, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Acknowledgments

Built with: - Rust - Systems programming language - PyO3 - Rust bindings for Python - Polars - Lightning-fast DataFrame library - Maturin - Build and publish Rust-based Python packages

Special thanks to the open-source community for their amazing tools and libraries.


Made with ❤️ for the data science community