MLflow VS dvc

Compare MLflow vs dvc and see what are their differences.

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MLflow dvc
57 110
17,421 13,218
2.0% 1.2%
9.9 9.6
3 days ago about 17 hours 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.

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 2024-04-23.

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 2024-04-23.

What are some alternatives?

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

clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

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

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

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]

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

delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

guildai - Experiment tracking, ML developer tools

ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

tensorflow - An Open Source Machine Learning Framework for Everyone

aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

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

git-submodules - Git Submodule alternative with equivalent features, but easier to use and maintain.