Nixtla / mlforecast

Scalable machine 🤖 learning for time series forecasting.

Date Created 2021-04-26 (3 years ago)

Commits 337 (last one 29 days ago)

Stargazers 992 (3 this week)

Watchers 11 (0 this week)

Forks 96

License apache-2.0

Ranking

RepositoryStats indexes 631,351 repositories, of these Nixtla/mlforecast is ranked #53,434 (92nd percentile) for total stargazers, and #185,932 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #8,555/128,766.

Nixtla/mlforecast is also tagged with popular topics, for these it's ranked: python (#2,993/23380), machine-learning (#1,379/8391), time-series (#98/698), forecasting (#36/197)

Other Information

Nixtla/mlforecast has 2 open pull requests on Github, 233 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 18 open issues and 150 closed issues.

There have been 41 releases, the latest one was published on 2025-02-18 (about a month ago) with the name v1.0.2.

Homepage URL: https://nixtlaverse.nixtla.io/mlforecast

All Topics

dask python xgboost forecast lightgbm forecasting time-series machine-learning

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Github watchers over time, collection started in '23

Recent Commit History

291 commits on the default branch (main) since jan '22

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Languages

The primary language is Python but there's also others...

updated: 2025-03-25 @ 02:54pm, id: 361892304 / R_kgDOFZIJ0A