Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Statsmodels | 9,242 | 3,328 | 2,135 | 3 months ago | 35 | May 05, 2023 | 2,716 | bsd-3-clause | Python | |
Statsmodels: statistical modeling and econometrics in Python | ||||||||||
Statsforecast | 3,339 | 26 | 3 months ago | 27 | August 23, 2023 | 85 | apache-2.0 | Python | ||
Lightning ⚡️ fast forecasting with statistical and econometric models. | ||||||||||
Awesome_time_series_in_python | 1,811 | a year ago | 4 | |||||||
This curated list contains python packages for time series analysis | ||||||||||
Hierarchicalforecast | 473 | 4 | 3 months ago | 15 | November 21, 2023 | 39 | apache-2.0 | Python | ||
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods. | ||||||||||
Statespacemodels.jl | 249 | 5 months ago | 17 | mit | Julia | |||||
StateSpaceModels.jl is a Julia package for time-series analysis using state-space models. | ||||||||||
Covid19 Severity Prediction | 226 | 5 months ago | 3 | mit | Jupyter Notebook | |||||
Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈 | ||||||||||
Stldecompose | 116 | 2 | 1 | 5 years ago | 4 | March 03, 2019 | 5 | mit | Jupyter Notebook | |
A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data. | ||||||||||
Verif | 78 | 2 | 7 months ago | 16 | February 02, 2016 | 4 | other | Python | ||
Graphical tool for creating verification plots of weather forecasts | ||||||||||
Judgyprophet | 51 | 2 years ago | 2 | March 23, 2022 | apache-2.0 | Python | ||||
Forecasting for knowable future events using Bayesian informative priors (forecasting with judgmental-adjustment). | ||||||||||
Ipython_notebooks | 45 | 3 years ago | gpl-3.0 | Jupyter Notebook | ||||||
Set of Jupyter (iPython) notebooks (and few pdf-presentations) about things that I am interested on, like Computer Science, Statistics and Machine-Learning, Artificial Intelligence (AI), Financial Engineering, Optimization, Stochastic Modelling, Time-Series forecasting, Science in general... and more. |