Run, log, store
and compare
experiment runs.

Keep every experiment in one single place to organize your work.
Analyse and share your results with your team to showcase your models and insure reproductibility while keeping your current tools and way of working.
Get started
Picsellia experiment and training dashboard

Tables, confusion matrices, bar charts or images

Logged with one-line of code.

Want to share and explore your charts interactively outside your notebooks ? Just use our one-liner Python methods to export everything to Picsellia.
Start logging
Picsellia experiment and tracking logs

Your go-to experiment organizer

Search among all your experiments datain order to quickly find the best ones in your organization and iterate over it.
Get started
Picsellia experiment organizer
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Send every metrics that you want to log and analyze your trainings later.
Be reassured that you have all your previous work saved.
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Compare your experiments

You can compare every results, from accuracy to CPU usage so you are always aware of what has the most influence on your final models.
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Share your work & collaborate

Invite your teammates in your project to work together. Collaborate on model creation seamlessly with comments, mentions and notifications.

Quickly launch training from anywhere

We provide you with some already packaged training engine available in the most common formats.
Picsellia launch training with python docker jupyter
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Python Package

If you want to perform custom ML experiments, install our Python package to link your scripts with Picsellia seamlessly.
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Docker Image

Simply pull our Docker image from Docker Hub to remotely launch trainings on any server.
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Jupyter Notebooks

Or just run some notebooks on Google Colab or on your own machine.

Start training models and track experiments

Feel free to try out our community
edition right away.
Picsellia experiment and tracking logs