Log, store and compare experiment runs.

Keep all your experiments in one single place to better organize your work. Analyze and share your results with your team to showcase your models and assure reproducibility, while keeping your current tools and work methodology.
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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 all your data to Picsellia.
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Picsellia experiment and tracking logs

Your go-to experiment organizer

Search among your experiments' data to quickly find the best ones in your organization and iterate them.
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Picsellia experiment organizer
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Send all the metrics you want to log and analyze your trainings. Picsellia saves all your previous work so you don't have to worry about missing any data.
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Compare your experiments

Compare your experiment results, everything from accuracy to CPU usage, so you always know 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 on the same data. Collaborate in model creation seamlessly with comments, mentions and notifications.

Quickly launch trainings from anywhere

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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.

Train your models and track experiments now — Try free!

Try out our community edition for free, in just one minute!
Picsellia experiment and tracking logs