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Darts: User-Friendly Modern Machine Learning for Time Series

arXiv 2110.03224 ↗First posted 7 Oct 2021cs.LG stat.COcited by 90

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Abstract (arXiv)

We present Darts, a Python machine learning library for time series, with a focus on forecasting. Darts offers a variety of models, from classics such as ARIMA to state-of-the-art deep neural networks. The emphasis of the library is on offering modern machine learning functionalities, such as supporting multidimensional series, meta-learning on multiple series, training on large datasets, incorporating external data, ensembling models, and providing a rich support for probabilistic forecasting. At the same time, great care goes into the API design to make it user-friendly and easy to use. For instance, all models can be used using fit()/predict(), similar to scikit-learn.

Key facts. Cited by 90 papers in the map (data through 7 Oct 2026). Builds on 8 of its 23 references that are in the map. First posted on arXiv 7 Oct 2021.

Builds on

8 of 23 references.

References · 8

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
  2. 2018An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modelingcited by 1,447
  3. 2017DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networkscited by 1,004
  4. 2019Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecastingcited by 748
  5. 2019N-BEATS: Neural basis expansion analysis for interpretable time series forecastingcited by 744
  6. 2019sktime: A Unified Interface for Machine Learning with Time Seriescited by 98
  7. 2020Meta-learning framework with applications to zero-shot time-series forecastingcited by 70
  8. 2021Merlion: A Machine Learning Library for Time Seriescited by 25

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 10; 2023: 26; 2024: 25; 2025: 13; 2026: 15.

90 papers.

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  1. 2023Time-LLM: Time Series Forecasting by Reprogramming Large Language Modelscited by 680
  2. 2023A decoder-only foundation model for time-series forecastingcited by 650
  3. 2023Large Language Models Are Zero-Shot Time Series Forecasterscited by 491
  4. 2024TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methodscited by 242
  5. 2023Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlookcited by 109
  6. 2021Chaos as an interpretable benchmark for forecasting and data-driven modellingcited by 87
  7. 2023Conformal PID Control for Time Series Predictioncited by 85
  8. 2024LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Promptingcited by 56
  9. 2025fev-bench: A Realistic Benchmark for Time Series Forecastingcited by 52
  10. 2024Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Reviewcited by 50
  11. 2024Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilitiescited by 48
  12. 2023Conformal Prediction for Time Series with Modern Hopfield Networkscited by 40
38 more
  1. 2023ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizonscited by 35
  2. 2024EasyTime: Time Series Forecasting Made Easycited by 30
  3. 2023Model scale versus domain knowledge in statistical forecasting of chaotic systemscited by 27
  4. 2024Zero-shot forecasting of chaotic systemscited by 25
  5. 2022Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemicscited by 16
  6. 2023Multi-modal learning for geospatial vegetation forecastingcited by 16
  7. 2024Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Datacited by 14
  8. 2023Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sourcescited by 13
  9. 2022W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecastingcited by 12
  10. 2024Bellman Conformal Inference: Calibrating Prediction Intervals For Time Seriescited by 12
  11. 2024GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarkscited by 11
  12. 2024Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedbackcited by 11
  13. 2023How Does It Function? Characterizing Long-term Trends in Production Serverless Workloadscited by 10
  14. 2024Financial Fine-tuning a Large Time Series Modelcited by 8
  15. 2024Right on Time: Revising Time Series Models by Constraining their Explanationscited by 7
  16. 2025Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networkscited by 7
  17. 2022HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Pythoncited by 6
  18. 2023A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy driverscited by 6
  19. 2023TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks for Medicinecited by 5
  20. 2023Continually learning out-of-distribution spatiotemporal data for robust energy forecastingcited by 5
  21. 2024A Survey of Transformer Enabled Time Series Synthesiscited by 5
  22. 2026Eliciting Numerical Predictive Distributions of LLMs Without Autoregressioncited by 5
  23. 2022Data-driven Science and Machine Learning Methods in Laser-Plasma Physicscited by 4
  24. 2024An Evaluation of Standard Statistical Models and LLMs on Time Series Forecastingcited by 4
  25. 2026Deep Generative Spatiotemporal Engression for Probabilistic Forecasting of Epidemicscited by 4
  26. 2022A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number predictioncited by 3
  27. 2022An ensemble neural network approach to forecast Dengue outbreak based on climatic conditioncited by 3
  28. 2023DeepTSF: Codeless machine learning operations for time series forecastingcited by 3
  29. 2023Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management Systemcited by 3
  30. 2024Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecastingcited by 3
  31. 2024Forecasting Company Fundamentalscited by 3
  32. 2025DoFlow: Flow-based Generative Models for Interventional and Counterfactual Forecasting on Time Seriescited by 3
  33. 2023Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolutioncited by 2
  34. 2023Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learningcited by 2
  35. 2025Comparative analysis and evaluation of ageing forecasting methods for semiconductor devices in online health monitoringcited by 2
  36. 2025Tsururu: A Python-based Time Series Forecasting Strategies Librarycited by 2
  37. 2026WPBench: A Comprehensive Benchmark for Wind Power Forecastingcited by 2
  38. 2022Black-box Error Diagnosis in Deep Neural Networks for Computer Vision: a Survey of Toolscited by 1

50 most cited of 90 All 90 (JSON)