Alternatives and similar repositories for orbit

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

• linkedin / greykite
  A flexible, intuitive and fast forecasting library
  ☆1,852Updated 10 months ago
• zillow / luminaire
  Luminaire is a python package that provides ML driven solutions for monitoring time series data.
  ☆797Updated 4 months ago
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,410Updated last year
• alkaline-ml / pmdarima
  A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…
  ☆1,698Updated last month
• Nixtla / mlforecast
  Scalable machine 🤖 learning for time series forecasting.
  ☆1,127Updated this week
• AutoViML / Auto_TS
  Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…
  ☆765Updated last year
• winedarksea / AutoTS
  Automated Time Series Forecasting
  ☆1,336Updated last week
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,817Updated last month
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆659Updated 11 months ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,372Updated 2 weeks ago
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,173Updated last month
• Nixtla / hierarchicalforecast
  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
  ☆720Updated last week
• 8080labs / ppscore
  Predictive Power Score (PPS) in Python
  ☆1,166Updated 2 months ago
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,498Updated this week
• Nixtla / statsforecast
  Lightning ⚡️ fast forecasting with statistical and econometric models.
  ☆4,633Updated this week
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,559Updated last month
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆834Updated 2 weeks ago
• ourownstory / neural_prophet
  NeuralProphet: A simple forecasting package
  ☆4,213Updated 11 months ago
• stumpy-dev / stumpy
  STUMPY is a powerful and scalable Python library for modern time series analysis
  ☆4,035Updated last week
• SeldonIO / alibi-detect
  Algorithms for outlier, adversarial and drift detection
  ☆2,469Updated last week
• tslearn-team / tslearn
  The machine learning toolkit for time series analysis in Python
  ☆3,077Updated this week
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,077Updated last week
• AutoViML / featurewiz
  Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…
  ☆674Updated 10 months ago
• functime-org / functime
  Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
  ☆1,160Updated 2 months ago
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆600Updated last year
• cerlymarco / tsmoothie
  A python library for time-series smoothing and outlier detection in a vectorized way.
  ☆770Updated 2 years ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆549Updated 2 years ago
• deepcharles / ruptures
  ruptures: change point detection in Python
  ☆1,950Updated 3 weeks ago
• skrub-data / skrub
  Machine learning with dataframes
  ☆1,533Updated this week
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆677Updated last week