Alternatives and similar repositories for river

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

• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,059Updated last week
• SeldonIO / alibi-detect
  Algorithms for outlier, adversarial and drift detection
  ☆2,390Updated 3 weeks ago
• stumpy-dev / stumpy
  STUMPY is a powerful and scalable Python library for modern time series analysis
  ☆3,940Updated last week
• sktime / sktime
  A unified framework for machine learning with time series
  ☆9,107Updated this week
• microsoft / FLAML
  A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
  ☆4,153Updated 3 weeks ago
• iterative / cml
  ♾️ CML - Continuous Machine Learning | CI/CD for ML
  ☆4,107Updated 3 weeks ago
• mlflow / mlflow
  Open source platform for the machine learning lifecycle
  ☆20,989Updated this week
• rapidsai / cuml
  cuML - RAPIDS Machine Learning Library
  ☆4,786Updated this week
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,535Updated last week
• scikit-multiflow / scikit-multiflow
  A machine learning package for streaming data in Python. The other ancestor of River.
  ☆778Updated last year
• iterative / dvc
  🦉 Data Versioning and ML Experiments
  ☆14,563Updated last week
• salesforce / Merlion
  Merlion: A Machine Learning Framework for Time Series Intelligence
  ☆4,322Updated last year
• kedro-org / kedro
  Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and…
  ☆10,389Updated this week
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,344Updated last week
• SeldonIO / seldon-core
  An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
  ☆4,554Updated last week
• microsoft / hummingbird
  Hummingbird compiles trained ML models into tensor computation for faster inference.
  ☆3,447Updated 2 months ago
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,527Updated last week
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,072Updated last month
• pycaret / pycaret
  An open-source, low-code machine learning library in Python
  ☆9,365Updated 2 months ago
• uber / orbit
  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
  ☆1,981Updated 2 weeks ago
• MAIF / shapash
  🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
  ☆2,898Updated last week
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,353Updated 4 months ago
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,332Updated 11 months ago
• Netflix / metaflow
  Build, Manage and Deploy AI/ML Systems
  ☆8,908Updated this week
• bentoml / BentoML
  The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
  ☆7,806Updated this week
• optuna / optuna
  A hyperparameter optimization framework
  ☆12,167Updated this week
• aimhubio / aim
  Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
  ☆5,649Updated last week
• lux-org / lux
  Automatically visualize your pandas dataframe via a single print! 📊 💡
  ☆5,282Updated last year
• rapidsai / cudf
  cuDF - GPU DataFrame Library
  ☆9,002Updated this week
• parrt / dtreeviz
  A python library for decision tree visualization and model interpretation.
  ☆3,080Updated 3 months ago