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.
  ☆798Updated 4 months ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,374Updated last month
• winedarksea / AutoTS
  Automated Time Series Forecasting
  ☆1,334Updated last week
• 8080labs / ppscore
  Predictive Power Score (PPS) in Python
  ☆1,170Updated 3 months ago
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,177Updated last week
• Nixtla / mlforecast
  Scalable machine 🤖 learning for time series forecasting.
  ☆1,137Updated 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…
  ☆764Updated 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…
  ☆1,706Updated last month
• Nixtla / hierarchicalforecast
  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
  ☆723Updated this week
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,818Updated last month
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,563Updated last month
• Nixtla / statsforecast
  Lightning ⚡️ fast forecasting with statistical and econometric models.
  ☆4,649Updated this week
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆837Updated last month
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,418Updated last year
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆659Updated 11 months ago
• ourownstory / neural_prophet
  NeuralProphet: A simple forecasting package
  ☆4,223Updated last year
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,502Updated this week
• stumpy-dev / stumpy
  STUMPY is a powerful and scalable Python library for modern time series analysis
  ☆4,044Updated last week
• functime-org / functime
  Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
  ☆1,164Updated 3 months ago
• SeldonIO / alibi-detect
  Algorithms for outlier, adversarial and drift detection
  ☆2,474Updated 3 weeks ago
• microprediction / timemachines
  Predict time-series with one line of code.
  ☆434Updated last year
• skforecast / skforecast
  Time series forecasting with machine learning models
  ☆1,426Updated this week
• salesforce / Merlion
  Merlion: A Machine Learning Framework for Time Series Intelligence
  ☆4,471Updated last year
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆600Updated last year
• skrub-data / skrub
  Machine learning with dataframes
  ☆1,541Updated this week
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆681Updated last month
• tslearn-team / tslearn
  The machine learning toolkit for time series analysis in Python
  ☆3,082Updated 3 weeks ago
• 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…
  ☆676Updated 10 months ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆641Updated last year