Alternatives and similar repositories for Merlion:

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

• facebookresearch / Kats
  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…
  ☆5,972Updated last week
• linkedin / greykite
  A flexible, intuitive and fast forecasting library
  ☆1,839Updated 2 months ago
• unit8co / darts
  A python library for user-friendly forecasting and anomaly detection on time series.
  ☆8,570Updated last week
• uber / orbit
  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
  ☆1,965Updated 2 months ago
• ourownstory / neural_prophet
  NeuralProphet: A simple forecasting package
  ☆4,073Updated 4 months ago
• Nixtla / statsforecast
  Lightning ⚡️ fast forecasting with statistical and econometric models.
  ☆4,347Updated this week
• TDAmeritrade / stumpy
  STUMPY is a powerful and scalable Python library for modern time series analysis
  ☆3,905Updated last month
• awslabs / gluonts
  Probabilistic time series modeling in Python
  ☆4,874Updated 3 weeks ago
• sktime / sktime
  A unified framework for machine learning with time series
  ☆8,369Updated this week
• tslearn-team / tslearn
  The machine learning toolkit for time series analysis in Python
  ☆2,977Updated 10 months ago
• arundo / adtk
  A Python toolkit for rule-based/unsupervised anomaly detection in time series
  ☆1,154Updated 9 months ago
• zillow / luminaire
  Luminaire is a python package that provides ML driven solutions for monitoring time series data.
  ☆777Updated last year
• winedarksea / AutoTS
  Automated Time Series Forecasting
  ☆1,273Updated 3 weeks ago
• blue-yonder / tsfresh
  Automatic extraction of relevant features from time series:
  ☆8,748Updated 2 months ago
• Nixtla / nixtla
  TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transf…
  ☆2,723Updated last week
• mljar / mljar-supervised
  Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
  ☆3,152Updated 3 weeks ago
• Nixtla / neuralforecast
  Scalable and user friendly neural forecasting algorithms.
  ☆3,487Updated this week
• SeldonIO / alibi-detect
  Algorithms for outlier, adversarial and drift detection
  ☆2,365Updated this week
• alkaline-ml / pmdarima
  A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…
  ☆1,642Updated 5 months ago
• MAIF / shapash
  🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
  ☆2,869Updated this week
• sktime / pytorch-forecasting
  Time series forecasting with PyTorch
  ☆4,286Updated last week
• MaxBenChrist / awesome_time_series_in_python
  This curated list contains python packages for time series analysis
  ☆2,174Updated 2 years ago
• datamllab / tods
  TODS: An Automated Time-series Outlier Detection System
  ☆1,561Updated last year
• sintel-dev / Orion
  Unsupervised time series anomaly detection library
  ☆1,111Updated this week
• johannfaouzi / pyts
  A Python package for time series classification
  ☆1,813Updated 2 weeks ago
• Nixtla / mlforecast
  Scalable machine 🤖 learning for time series forecasting.
  ☆1,015Updated last month
• lux-org / lux
  Automatically visualize your pandas dataframe via a single print! 📊 💡
  ☆5,276Updated last year
• online-ml / river
  🌊 Online machine learning in Python
  ☆5,320Updated 2 weeks ago
• functime-org / functime
  Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
  ☆1,099Updated 10 months ago
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,436Updated this week