Alternatives and similar repositories for prophet

Users that are interested in prophet are comparing it to the libraries listed below

• blue-yonder / tsfresh
  Automatic extraction of relevant features from time series:
  ☆8,900Updated this week
• EpistasisLab / tpot
  A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
  ☆9,960Updated last month
• statsmodels / statsmodels
  Statsmodels: statistical modeling and econometrics in Python
  ☆10,853Updated 3 weeks ago
• facebookresearch / Kats
  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…
  ☆6,119Updated this week
• ourownstory / neural_prophet
  NeuralProphet: A simple forecasting package
  ☆4,142Updated 7 months ago
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,512Updated last week
• explosion / spaCy
  💫 Industrial-strength Natural Language Processing (NLP) in Python
  ☆32,133Updated 2 months ago
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,920Updated this week
• awslabs / gluonts
  Probabilistic time series modeling in Python
  ☆4,978Updated last month
• dmlc / xgboost
  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…
  ☆27,201Updated this week
• PAIR-code / facets
  Visualizations for machine learning datasets
  ☆7,377Updated 2 years ago
• microsoft / LightGBM
  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …
  ☆17,458Updated this week
• unit8co / darts
  A python library for user-friendly forecasting and anomaly detection on time series.
  ☆8,794Updated last week
• pymc-devs / pymc
  Bayesian Modeling and Probabilistic Programming in Python
  ☆9,155Updated last week
• catboost / catboost
  A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…
  ☆8,513Updated this week
• dask / dask
  Parallel computing with task scheduling
  ☆13,382Updated last week
• autogluon / autogluon
  Fast and Accurate ML in 3 Lines of Code
  ☆9,239Updated this week
• vega / altair
  Declarative visualization library for Python
  ☆9,939Updated 3 weeks ago
• mwaskom / seaborn
  Statistical data visualization in Python
  ☆13,352Updated last month
• twitter / AnomalyDetection
  Anomaly Detection with R
  ☆3,607Updated 5 years ago
• h2oai / h2o-3
  H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random F…
  ☆7,254Updated this week
• fastai / fastai
  The fastai deep learning library
  ☆27,321Updated this week
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,366Updated 5 months ago
• pycaret / pycaret
  An open-source, low-code machine learning library in Python
  ☆9,463Updated 3 months ago
• jupyterhub / jupyterhub
  Multi-user server for Jupyter notebooks
  ☆8,088Updated this week
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,456Updated 2 months ago
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆5,051Updated last month
• Nixtla / statsforecast
  Lightning ⚡️ fast forecasting with statistical and econometric models.
  ☆4,472Updated this week
• CamDavidsonPilon / Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…
  ☆27,682Updated last year
• networkx / networkx
  Network Analysis in Python
  ☆16,030Updated last week