Neptune vs MLflow

Track and organize the experimentation process of your entire team, from exploratory analysis, to model training runs and hyperparameter sweeps.

machine learning experiment dashboard

Neptune vs MLflow

Track and organize the experimentation process of your entire team, from exploratory analysis, to model training runs and hyperparmeter sweeps.

machine learning experiment dashboard

Designed for your Team

The difference between Neptune and MLflow

MLflow deals with the entire model training lifecycle, it doesn’t focus entirely on experiment tracking, and works best for single users.

Neptune keeps your entire teams’ work organized in one place and accessible to everyone, and its Notebook versioning extension lets you track exploratory analysis or results exploration.   

machine learning experiment dashboard

Great UI

UI that scales, super customizable and designed for teams

Log and organize millions of experiment runs.

Create custom views for data scientists or managers, and save them for later.

Search through experiments quickly with a powerful language.

User Management

Organize your projects, give different roles to different people

You can assign people to different organizations and projects. 

You can choose whether they should be able to edit experiment data or simply view what is happening and comment on it.

user management

Notebook Versioning

Version your notebook experiments and exploratory analysis

We created an extension that snapshots your .ipynb code whenever you run your experiment!

Also, experimentation doesn’t stop at the training script and Neptune lets you track your exploratory analysis as well. 

You can get .ipynb diffs, share it with others and more! 

 

Comparison tools

Inteligent table that shows you diffs and more

When you compare multiple experiment runs sometimes it is difficult to figure out what is different and what you should look for.

We’ve created a table that automatically finds the columns and values that are different and displays them for you! 

experiment comparison table

Integrate and sync

Easily integrate and convert your runs

Syncing your MLflow runs with Neptune is super easy. 

Just convert your mlruns directory to Neptune experiments and enjoy better teamwork intantly.

export NEPTUNE_API_TOKEN = 'YOUR_API_TOKEN'

neptune mlflow /PATH/TO/MLflow_PROJECT_DIR \
    --project USER_NAME/PROJECT_NAME
export NEPTUNE_API_TOKEN = 'YOUR_API_TOKEN'

neptune mlflow /PATH/TO/MLflow_PROJECT_DIR \
    --project USER_NAME/PROJECT_NAME

Import your work into Neptune now

nnaisense and Neptune
Zesty.ai and Neptune
reply.ai and Neptune
NewYorker and Neptune
Intive and Neptune
"Neptune allow us to keep all of our experiments organized in a single space. Being able to see my team’s work results any time I need makes it effortless to track progress and enables easier coordination."
Michael Ulin
VP, Machine Learning @Zesty.ai

Manage ML experiments of your team.

Sponsored by Neptune Labs Inc. As far as we know MLflow is not a registered trademark of Databricks, Inc. but for clarity, Neptune Labs Inc. is neither affiliated with nor sponsored by Databricks, Inc