A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
☆2,070May 22, 2026Updated 3 months ago
Alternatives and similar repositories for orbit
Users that are interested in orbit are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A flexible, intuitive and fast forecasting library☆1,855Feb 20, 2025Updated last year
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,890Updated this week
- NeuralProphet: A simple forecasting package☆4,295Jan 8, 2025Updated last year
- Merlion: A Machine Learning Framework for Time Series Intelligence☆4,491Mar 11, 2026Updated 5 months ago
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…☆6,464Aug 19, 2026Updated last week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A unified framework for machine learning with time series☆9,970Updated this week
- A python library for user-friendly forecasting and anomaly detection on time series.☆9,510Aug 21, 2026Updated last week
- Uplift modeling and causal inference with machine learning algorithms☆5,975Aug 20, 2026Updated last week
- Probabilistic time series modeling in Python☆5,232Jul 31, 2026Updated 3 weeks ago
- STUMPY is a powerful and scalable Python library for modern time series analysis☆4,149Updated this week
- Automatic extraction of relevant features from time series:☆9,301Jul 6, 2026Updated last month
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆452Aug 4, 2026Updated 3 weeks ago
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,289Updated this week
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,275Updated this week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆20,375Updated this week
- A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…☆1,734Nov 17, 2025Updated 9 months ago
- Automated Time Series Forecasting☆1,430Updated this week
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆758Aug 17, 2026Updated last week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,584Aug 14, 2026Updated 2 weeks ago
- The machine learning toolkit for time series analysis in Python☆3,174Updated this week
- A Python package for causal inference in quasi-experimental settings☆1,180Updated this week
- 🌊 Online machine learning in Python☆5,924Aug 21, 2026Updated last week
- ETNA – Time-Series Library☆882Aug 9, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Extra blocks for scikit-learn pipelines.☆1,407Aug 9, 2026Updated 2 weeks ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,887Jul 1, 2026Updated last month
- A light-weight, flexible, and expressive statistical data testing library☆4,444Updated this week
- Scalable and user friendly neural forecasting algorithms.☆4,258Updated this week
- Time should be taken seer-iously☆318Mar 17, 2023Updated 3 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,475Aug 10, 2026Updated 2 weeks ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,770Updated this week
- Scalable machine 🤖 learning for time series forecasting.☆1,274Aug 20, 2026Updated last week
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆764Aug 20, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Exploratory analysis of Bayesian models with Python☆1,851Aug 17, 2026Updated last week
- Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…☆8,508Apr 1, 2026Updated 4 months ago
- Time series forecasting with PyTorch☆4,978Updated this week
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,184May 3, 2026Updated 3 months ago
- A game theoretic approach to explain the output of any machine learning model.☆25,708Updated this week
- Algorithms for outlier, adversarial and drift detection☆2,548Dec 11, 2025Updated 8 months ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,748Updated this week