Is there an existing integration?

• I have searched the existing integrations.

Use Case

Comet is a meta-machine learning platform for tracking, comparing, explaining, and optimizing experiments and models.

It proposes an open-source Python library to allow data scientists to integrate their code with Comet and start tracking work in the application.

As it’s offered both cloud-hosted and self-hosted, users can have team projects and save the backup of experimentation history.

meta-machine

Motivation

Comet comes with user management features and allows for sharing projects within the team—something that is missing in MLfow. It also offers both, hosted and on-premises setup, while MLflow is only available as an open-source solution that requires you to maintain it on your own server. Comet can be a great utility for data/ml engineers working in teams to collaborate on projects.

Implementation

Comet supports a number of integrations with tools like tensorflow, gitlab, pytorch , etc.

here you can check their docs : Docs

Here is their github org : Comet

You can also implement it with MLfow just have to use an extension of comet to map the experiments running in MLflow to comet to produce a better visualization and management guide.

Here you can find it : Comet-Mlflow

Anything else?

No response