dvc VS MLflow

Compare dvc vs MLflow and see what are their differences.

MLflow

Open source platform for the machine learning lifecycle (by mlflow)
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dvc MLflow
108 54
13,032 17,021
1.6% 3.9%
9.7 9.9
about 20 hours ago 6 days ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

dvc

Posts with mentions or reviews of dvc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-06.

MLflow

Posts with mentions or reviews of MLflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-13.

What are some alternatives?

When comparing dvc and MLflow you can also consider the following projects:

clearml - ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management

Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

zenml - ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

guildai - Experiment tracking, ML developer tools

tensorflow - An Open Source Machine Learning Framework for Everyone

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

neptune-client - :ledger: The MLOps stack component for experiment tracking

dagster - An orchestration platform for the development, production, and observation of data assets.

lakeFS - lakeFS - Data version control for your data lake | Git for data

gensim - Topic Modelling for Humans

onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator