Wrf
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Neural_prophet | 2,954 | 5 days ago | 7 | March 22, 2022 | 39 | mit | Python | |||
| NeuralProphet: A simple forecasting package | ||||||||||
| Orbit | 1,584 |  | 1 | 4 months ago | 17 | April 28, 2022 | 54 | other | Python | |
| A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood. | ||||||||||
| Flow Forecast | 1,447 | 7 days ago | 93 | gpl-3.0 | Python | |||||
| Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting). | ||||||||||
| Forecast | 1,031 | 189 | 147 | a month ago | 86 | January 10, 2022 | 14 | R | ||
| forecast package for R | ||||||||||
| Wrf | 965 | 6 days ago | 147 | other | Fortran | |||||
| The official repository for the Weather Research and Forecasting (WRF) model | ||||||||||
| Web Traffic Forecasting | 552 | 5 years ago | 12 | Python | ||||||
| Kaggle | Web Traffic Forecasting 📈 | ||||||||||
| Timetk | 551 | 13 | 22 | 2 months ago | 18 | April 07, 2022 | 22 | R | ||
| Time series analysis in the `tidyverse` | ||||||||||
| M4 Methods | 539 | 3 years ago | 10 | R | ||||||
| Data, Benchmarks, and methods submitted to the M4 forecasting competition | ||||||||||
| Modeltime | 452 | 11 | 16 days ago | 20 | June 01, 2022 | 47 | other | R | ||
| Modeltime unlocks time series forecast models and machine learning in one framework | ||||||||||
| Pyaf | 425 |  | 4 | a month ago | 12 | May 14, 2022 | 12 | bsd-3-clause | Python | |
| PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules. | ||||||||||
WRF-ARW Modeling System
We request that all new users of WRF please register. This allows us to better determine how to support and develop the model. Please register using this form:https://www2.mmm.ucar.edu/wrf/users/download/wrf-regist.php.
For an overview of the WRF modeling system, along with information regarding downloads, user support, documentation, publications, and additional resources, please see the WRF Model Users' Web Site: https://www2.mmm.ucar.edu/wrf/users/.
Information regarding WRF Model citations (including a DOI) can be found here: https://www2.mmm.ucar.edu/wrf/users/citing_wrf.html.
The WRF Model is open-source code in the public domain, and its use is unrestricted. The name "WRF", however, is a registered trademark of the University Corporation for Atmospheric Research. The WRF public domain notice and related information may be found here: https://www2.mmm.ucar.edu/wrf/users/public.html.
