ourownstory / neural_prophet
NeuralProphet: A simple forecasting package
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Autoregression. Autocorrelation modelling - linear or NN (AR-Net).
- Trend. Piecewise linear trend with optional automatic changepoint detection.
- Seasonality. Fourier terms at different periods such as yearly, daily, weekly, hourly.
- Lagged regressors. Lagged observations (e.g temperature sensor) - linear or NN.
- Future regressors. In advance known features (e.g. temperature forecast) - linear or NN.
Get started
pip install neuralprophet- Maintenance
- Active
- Last commit 16 days ago
- Stars
- 4,313
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 0.9.0
- Released 2 years ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 87% closed
- 73 still open
- Pull requests
- 653 merged
- 18 waiting
- Releases
- 36
- 0 in the last year
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More: languages, topics, project record and preview image
Languages
- Python 100%
- Shell <1%
Topics
- forecasting
- time-series
- machine-learning
- fbprophet
- prophet
- forecast
- artificial-intelligence
- prediction
- trend
- seasonality
- autoregression
- pytorch
Project record
- JobOther AI tools
- StatusListed
- Commits1,468
- Forks517
- Watching57
- Stars in 28 days+8
- CreatedMay 4, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026