Automated Time Series Forecasting
☆1,429Aug 25, 2026Updated last month
Alternatives and similar repositories for AutoTS
Users that are interested in AutoTS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆763Aug 20, 2024Updated 2 years ago
- A python library for user-friendly forecasting and anomaly detection on time series.☆9,542Updated this week
- AtsPy: Automated Time Series Models in Python (by @firmai)☆520Nov 21, 2022Updated 3 years ago
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…☆6,496Oct 1, 2026Updated last week
- A unified framework for machine learning with time series☆10,063Updated this week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆453Aug 4, 2026Updated 2 months ago
- A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.☆291Apr 17, 2025Updated last year
- A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…☆1,737Oct 2, 2026Updated last week
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,927Updated this week
- Time series forecasting with PyTorch☆5,001Updated this week
- NeuralProphet: A simple forecasting package☆4,306Updated this week
- Probabilistic time series modeling in Python☆5,246Jul 31, 2026Updated 2 months ago
- Temporal online machines: streaming anomaly detection with calibrated p-values, built on skaters☆443Oct 5, 2026Updated last week
- Automatic extraction of relevant features from time series:☆9,473Jul 6, 2026Updated 3 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models☆1,536Updated this week
- Scalable and user friendly neural forecasting algorithms.☆4,283Updated this week
- A flexible, intuitive and fast forecasting library☆1,856Feb 20, 2025Updated last year
- This curated list contains python packages for time series analysis☆2,265Feb 10, 2023Updated 3 years ago
- Scalable machine 🤖 learning for time series forecasting.☆1,283Updated this week
- PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.☆460Oct 4, 2026Updated last week
- A Python package for time series classification☆1,880Updated this week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,081May 22, 2026Updated 4 months ago
- An intuitive library to extract features from time series.☆1,105Sep 15, 2026Updated 3 weeks 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.
- Merlion: A Machine Learning Framework for Time Series Intelligence☆4,486Mar 11, 2026Updated 7 months ago
- Flexible time series feature extraction & processing☆442Sep 6, 2024Updated 2 years ago
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆811Jun 2, 2026Updated 4 months ago
- The machine learning toolkit for time series analysis in Python☆3,186Updated this week
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,288Sep 19, 2026Updated 3 weeks ago
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆760Oct 6, 2026Updated last week
- STUMPY is a powerful and scalable Python library for modern time series analysis☆4,160Oct 3, 2026Updated last week
- A python package for time series forecasting with scikit-learn estimators.☆163Apr 4, 2024Updated 2 years ago
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆6,130Jul 23, 2026Updated 2 months ago
- 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.
- Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).☆2,304Sep 30, 2026Updated last week
- Hierarchical Time Series Forecasting with a familiar API☆225May 12, 2023Updated 3 years ago
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,188May 3, 2026Updated 5 months ago
- Automated modeling and machine learning framework FEDOT☆711Updated this week
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆684Feb 19, 2025Updated last year
- List of papers, code and experiments using deep learning for time series forecasting☆2,784Mar 16, 2024Updated 2 years ago
- EvalML is an AutoML library written in python.☆850Jan 14, 2026Updated 8 months ago