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An open source machine learning platform
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What is MLflow?

MLflow is an open source platform for managing the end-to-end machine learning lifecycle.
MLflow is a tool in the Machine Learning Tools category of a tech stack.
MLflow is an open source tool with 45 GitHub stars and 22 GitHub forks. Here’s a link to MLflow's open source repository on GitHub

Who uses MLflow?

3 companies reportedly use MLflow in their tech stacks, including Hepsiburada, Data Science, and DLabs.

8 developers on StackShare have stated that they use MLflow.

MLflow Integrations

Why developers like MLflow?

Here’s a list of reasons why companies and developers use MLflow
Top Reasons
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MLflow's Features

  • Track experiments to record and compare parameters and results
  • Package ML code in a reusable, reproducible form in order to share with other data scientists or transfer to production
  • Manage and deploy models from a variety of ML libraries to a variety of model serving and inference platforms

MLflow Alternatives & Comparisons

What are some alternatives to MLflow?
The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
See all alternatives

MLflow's Followers
23 developers follow MLflow to keep up with related blogs and decisions.
Kip P.
praveen kumar
Sherine Brisillal
Giovanna Riqueti
Himansu Sekhar
John Alton
bankon meos
Pete Soderling
Tamilvanan P