About skforecast¶
History¶
skforecast was born from the need to make forecasting easy, accessible, and effective for everyone. Since its inception in 2021, our aim has been to bridge the gap between machine learning and practical time series forecasting. Thanks to our amazing community, the library continues to grow, evolve, and help people worldwide forecast better.
Governance¶
skforecast is an open-source project maintained by its core development team, with guidance and valuable contributions from the community. We strongly believe in openness, transparency, and collaboration. Everyone is encouraged to participate through issues, discussions, and pull requests on GitHub.
Core Development Team¶
Meet the core developers behind skforecast.
Main Contributors¶
Special mention to the main contributors who have significantly impacted the library development:
| Name | GitHub |
|---|---|
| Fernando Carazo Melo | @FernandoCarazoMelo |
| Resul Akay (taf-society) | @taf-society |
Contributors¶
View the full list of contributors and their contributions to the project.
Thank you for helping us make skforecast better! 🎉
Get Involved
We value your input! Here are a few ways you can participate:
- Report bugs and suggest new features on our GitHub Issues page.
- Contribute to the project by submitting code, adding new features, or improving the documentation.
- Share your feedback on LinkedIn to help spread the word about skforecast!
Together, we can make time series forecasting accessible to everyone.
Citing skforecast¶
If you use skforecast in a scientific publication, please cite the version you used. Each version has its own DOI and ready-made citations (APA, BibTeX and others) on Zenodo. To cite skforecast in general, use the DOI that always resolves to the latest release:
Amat Rodrigo, J., & Escobar Ortiz, J. skforecast [Computer software]. https://doi.org/10.5281/zenodo.8382787
@software{skforecast,
author = {Amat Rodrigo, Joaquin and Escobar Ortiz, Javier},
title = {skforecast},
license = {BSD-3-Clause},
url = {https://skforecast.org/},
doi = {10.5281/zenodo.8382787}
}
The citation metadata is in CITATION.cff, which GitHub also offers through its "Cite this repository" button.
skforecast is used in 70+ scientific publications: see them on Google Scholar.
License¶
Skforecast software: BSD-3-Clause License
Skforecast documentation: CC BY-NC-SA 4.0
Trademark: The trademark skforecast is registered with the European Union Intellectual Property Office (EUIPO) under the application number 019109684. Unauthorized use of this trademark, its logo, or any associated visual identity elements is strictly prohibited without the express consent of the owner.
Artwork¶
Official skforecast logo for presentations, blog posts, or any material mentioning or promoting skforecast. Created by Thelma Alfonso Arias.
The trademark skforecast is registered with the European Union Intellectual Property Office (EUIPO) under the application number 019109684. Unauthorized use of this trademark, its logo, or any associated visual identity elements is strictly prohibited without the express consent of the owner.