Marc Schmidt (deepkit) Publisher

Install latest/edge of Deepkit

Ubuntu 16.04 or later?

Make sure snap support is enabled in your Desktop store.

Install using the command line

sudo snap install deepkit --edge

Don't have snapd? Get set up for snaps.

Deepkit is only available on the unstable edge channel. It could break and change often.

Channel Version Published

The collaborative and analytical training suite for insightful, fast, and reproducible modern machine learning.

The collaborative and analytical training suite for insightful, fast, and reproducible modern machine learning. All in one cross-platform desktop app for you alone, corporate or open-source teams.

Track your experiments, debug your machine learning models, and manage your computation servers. It’s made for you as a single developer working completely offline and teams with real-time collaboration tools out of the box.


  • Experiment execution on your workstation directly or in Docker
  • Unified experiment definition using YAML
  • Automatic versioning of your experiment: configs, files, outputs & more
  • Analytical data of your experiment in real-time
  • Hardware monitoring of CPUs, memory, GPUs, & more
  • Tensorflow and Pytorch debugger
  • Execute your experiments on any Linux server
  • Issue tracker
  • Notes


  • Execute experiments on your workstation in Docker, automatically provisioned.
  • Automatically track every execution.
  • Attach custom analytical data (metrics, files, images, logs, numpy arrays) to experiments using the free Python SDK.
  • Tensorflow and Pytorch model debugger, for debugging the model graph + visualize the output of each layer including histograms of activations, weights, and biases.
  • Connect any Linux machine via ssh credentials and execute your experiments on team with a simple click or CLI argument.
  • Mange your project using the integrated issue tracker


Create an account at (in the app) to share your experiments in real-time with your friend and colleagues. You can switch between your local environment and the server anytime directly in the app.

Details for Deepkit

  • Proprietary

Last updated
  • 30 March 2020


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Install Deepkit on your Linux distribution

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