Alternatives and similar repositories for dvc:

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

• iterative / cml
  ♾️ CML - Continuous Machine Learning | CI/CD for ML
  ☆4,056Updated this week
• modin-project / modin
  Modin: Scale your Pandas workflows by changing a single line of code
  ☆9,975Updated last week
• vaexio / vaex
  Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…
  ☆8,321Updated 3 months ago
• Netflix / metaflow
  Open Source AI/ML Platform
  ☆8,446Updated this week
• dask / dask
  Parallel computing with task scheduling
  ☆12,851Updated this week
• vega / altair
  Declarative visualization library for Python
  ☆9,518Updated this week
• mlflow / mlflow
  Open source platform for the machine learning lifecycle
  ☆19,253Updated this week
• nteract / papermill
  📚 Parameterize, execute, and analyze notebooks
  ☆6,047Updated last week
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,306Updated 3 months ago
• rapidsai / cudf
  cuDF - GPU DataFrame Library
  ☆8,597Updated this week
• voila-dashboards / voila
  Voilà turns Jupyter notebooks into standalone web applications
  ☆5,538Updated last week
• clearml / clearml
  ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling …
  ☆5,776Updated this week
• polyaxon / polyaxon
  MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
  ☆3,591Updated this week
• shap / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆23,240Updated 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!
  ☆7,274Updated this week
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆5,939Updated last week
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,350Updated this week
• AnswerDotAI / nbdev
  Create delightful software with Jupyter Notebooks
  ☆4,986Updated 3 weeks ago
• cupy / cupy
  NumPy & SciPy for GPU
  ☆9,690Updated this week
• microsoft / hummingbird
  Hummingbird compiles trained ML models into tensor computation for faster inference.
  ☆3,372Updated last week
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,334Updated this week
• snorkel-team / snorkel
  A system for quickly generating training data with weak supervision
  ☆5,826Updated 8 months ago
• ydataai / ydata-profiling
  1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
  ☆12,647Updated this week
• 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…
  ☆10,112Updated this week
• drivendataorg / cookiecutter-data-science
  A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
  ☆8,490Updated this week
• marcotcr / lime
  Lime: Explaining the predictions of any machine learning classifier
  ☆11,704Updated 5 months ago
• pycaret / pycaret
  An open-source, low-code machine learning library in Python
  ☆9,075Updated this week
• feast-dev / feast
  The Open Source Feature Store for Machine Learning
  ☆5,722Updated this week
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,686Updated last month
• dmlc / xgboost
  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…
  ☆26,482Updated this week