Scalable and user friendly neural forecasting algorithms.
☆4,148Jun 8, 2026Updated last week
Alternatives and similar repositories for neuralforecast
Users that are interested in neuralforecast are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,806Updated this week
- Scalable machine 🤖 learning for time series forecasting.☆1,227Updated this week
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆745Jun 8, 2026Updated last week
- Probabilistic time series modeling in Python☆5,199May 8, 2026Updated last month
- A python library for user-friendly forecasting and anomaly detection on time series.☆9,414Jun 6, 2026Updated last week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Time series forecasting with PyTorch☆4,918Updated this week
- TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transf…☆3,901Updated this week
- A Library for Advanced Deep Time Series Models for General Time Series Analysis.☆12,430Apr 18, 2026Updated last month
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆6,074Updated this week
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆2,602Aug 12, 2024Updated last year
- Transfer 🤗 Learning for Time Series Forecasting☆257Dec 5, 2024Updated last year
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆446Apr 23, 2024Updated 2 years ago
- NeuralProphet: A simple forecasting package☆4,283Jan 8, 2025Updated last year
- [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"☆2,471Jan 27, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A unified framework for machine learning with time series☆9,798Jun 7, 2026Updated last week
- ☆209Feb 16, 2022Updated 4 years ago
- ☆194Mar 22, 2023Updated 3 years ago
- Chronos: Pretrained Models for Time Series Forecasting☆5,449Jun 8, 2026Updated last week
- Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).☆2,283Updated this week
- Automated Time Series Forecasting☆1,414Updated this week
- [ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"☆2,661Oct 15, 2025Updated 8 months ago
- PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend☆1,367Jun 14, 2024Updated 2 years ago
- Unified Training of Universal Time Series Forecasting Transformers☆1,519Jun 2, 2026Updated last week
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Merlion: A Machine Learning Framework for Time Series Intelligence☆4,475Mar 11, 2026Updated 3 months ago
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…☆6,306Updated this week
- Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models☆1,503Updated this week
- Datasets for time series forecasting☆126May 18, 2026Updated 3 weeks ago
- A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.☆2,988Aug 8, 2024Updated last year
- This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction …☆3,167Jun 3, 2026Updated last week
- Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)☆2,137Jul 17, 2025Updated 10 months ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,053May 22, 2026Updated 3 weeks ago
- Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆105Jun 8, 2026Updated last week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural …☆2,018Updated this week
- Automatic extraction of relevant features from time series:☆9,247Jun 8, 2026Updated last week
- List of papers, code and experiments using deep learning for time series forecasting☆2,771Mar 16, 2024Updated 2 years ago
- Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.☆904Mar 3, 2023Updated 3 years ago
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,178May 3, 2026Updated last month
- PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)☆364May 1, 2025Updated last year
- About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), ht…☆2,471Feb 28, 2025Updated last year