Nixtla / mlforecast

Scalable machine 🤖 learning for time series forecasting.

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

Commits 328 (last one 4 days ago)

Stargazers 925 (4 this week)

Watchers 13 (0 this week)

Forks 91

License apache-2.0

Ranking

RepositoryStats indexes 595,890 repositories, of these Nixtla/mlforecast is ranked #55,247 (91st percentile) for total stargazers, and #178,815 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #8,672/119,419.

Nixtla/mlforecast is also tagged with popular topics, for these it's ranked: python (#3,060/22322), machine-learning (#1,400/8062), time-series (#98/672), forecasting (#37/190)

Other Information

Nixtla/mlforecast has 1 open pull request on Github, 225 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 16 open issues and 142 closed issues.

There have been 39 releases, the latest one was published on 2024-12-06 (14 days ago) with the name v1.0.0.

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

282 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: 2024-12-21 @ 12:39pm, id: 361892304 / R_kgDOFZIJ0A