antoinecarme / pyaf
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
Why this job: works in the areas we cover, but does not say which job it does
What it does
PyAF is an Open Source Python library for Automatic Forecasting built on top of popular data science python modules: NumPy, SciPy, Pandas and scikit-learn.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 43 days ago
- Stars
- 462
- +1 this week
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 5.0
- Released 3 years ago
- Built with
- Python
- 92% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 93% closed
- 13 still open
- Pull requests
- 42 merged
- 2 waiting
- Releases
- 13
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| unit8co / darts | 9,585 | 6 days ago | Apache-2.0 | No downloads |
| winedarksea / AutoTS | 1,433 | 3 days ago | MIT | No downloads |
| ourownstory / neural_prophet | 4,313 | 16 days ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Python 92%
- Makefile 8%
- Shell <1%
- R <1%
Topics
- scikit-learn
- pandas
- jupyter
- forecasting
- exogenous
- seasonal
- time-series
- horizon
- autoregressive
- python
- trend
- cycle
Project record
- JobOther AI tools
- StatusListed
- Commits2,253
- Forks71
- Watching16
- Stars in 28 days+2
- CreatedOct 13, 2016
- First seen by usNov 7, 2026
- CheckedNov 8, 2026