AutoViML / Auto_TS

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

Date Created 2020-02-15 (4 years ago)

Commits 300 (last one 7 months ago)

Stargazers 741 (1 this week)

Watchers 21 (0 this week)

Forks 115

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these AutoViML/Auto_TS is ranked #67,882 (89th percentile) for total stargazers, and #105,912 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,436/17,543.

AutoViML/Auto_TS is also tagged with popular topics, for these it's ranked: python (#3,635/22324), python3 (#472/4145), time-series (#120/672), automl (#65/212), time-series-analysis (#21/151), sklearn (#24/125)

Other Information

AutoViML/Auto_TS has 2 open pull requests on Github, 23 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 3 open issues and 87 closed issues.

All Topics

tpot arima automl python prophet python3 sklearn autokeras auto-arima autosklearn time-series auto-sklearn auto-timeseries time-series-analysis

Star History

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Watcher History

Github watchers over time, collection started in '23

Recent Commit History

56 commits on the default branch (master) since jan '22

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Issue History

Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-12-19 @ 02:24am, id: 240736421 / R_kgDODllYpQ