Alternatives and similar repositories for forecastr

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

• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆459Updated last 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
• firmai / atspy
  AtsPy: Automated Time Series Models in Python (by @firmai)
  ☆520Updated 3 years ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆183Updated 2 years ago
• raffg / prophet_forecasting
  forecasting examples using Facebook Prophet
  ☆64Updated 5 years ago
• microprediction / timemachines
  Predict time-series with one line of code.
  ☆434Updated last year
• zillow / luminaire
  Luminaire is a python package that provides ML driven solutions for monitoring time series data.
  ☆794Updated 3 months ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆435Updated last year
• DataForScience / Timeseries
  Timeseries for everyone
  ☆263Updated 2 years ago
• mikekeith52 / scalecast
  The practitioner's forecasting library
  ☆345Updated 3 weeks ago
• mscharth / forecasting
  Forecasting lectures and tutorials using Python
  ☆127Updated 8 years ago
• artefactory / streamlit_prophet
  Streamlit app to train, evaluate and optimize a Prophet forecasting model.
  ☆364Updated last year
• Nixtla / hierarchicalforecast
  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
  ☆712Updated last week
• microprediction / timeseries-notebooks
  Hello world univariate examples for a variety of time series packages.
  ☆57Updated last year
• PacktPublishing / Forecasting-Time-Series-Data-with-Facebook-Prophet
  Forecasting Time-Series Data with Facebook Prophet, published by Packt
  ☆105Updated last week
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆27Updated 3 years ago
• alteryx / compose
  A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels f…
  ☆509Updated 7 months ago
• dushyantkhosla / ts-forecasting-ensemble
  CentOS based Docker container for Time Series Analysis and Modeling.
  ☆22Updated 6 years ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• microprediction / microprediction
  If you can measure it, consider it predicted
  ☆363Updated last month
• AutoViML / Auto_ViML
  Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…
  ☆543Updated 9 months 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…
  ☆673Updated 9 months ago
• Nike-Inc / timeseries-generator
  A library to generate synthetic time series data by easy-to-use factors and generator
  ☆154Updated last year
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆197Updated 2 years ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆657Updated 10 months ago
• ourownstory / AR-Net
  A simple Auto-Regressive Neural Network for time-series
  ☆177Updated 4 years ago
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆833Updated 2 weeks ago
• jakebenn / multi-touch-attribution-markov-chains
  A proof-of-concept for implementing multi-touch attribution using Markov Chains
  ☆13Updated 7 years ago