We all love to work with Jupyter notebooks :heart_eyes: Notebooks are standard tool for multiple data science tasks ranging from data exploration to modelling to communicating results. Working interactively and combining code with visuals in a single document is convenient. However, it sometimes generates messy situations, doesn't it?
We are introducing Notebooks space in Neptune. From now on, you can track, share and compare your notebooks in Neptune. Forget about messy notebooks, say hi to notebooks in Neptune
You can track your notebook checkpoints directly from Jupter. All you need to do is to install the Jupyter extension. Follow the instructions, then open your notebook and use Configure button. Simple wizard will guide you through configuration. Just paste you API token, select project, then Create Notebook and finally Integrate with Neptune.
That’s it You are all set and ready to collaborate on Notebooks in Neptune.
We introduce new space in Neptune - Notebooks
All your Notebooks can be tracked, each can have as many checkpoints as you wish:
- Review who created latest checkpoint (and when),
- Analyze notebook directly in Neptune or download it and continue working on it,
- Use Upload button to upload new checkpoint to Neptune,
- Share your results and insights with others by sharing link.
That you can compare everything in Notebooks side-by-side like regular Python code. Compare cells (code or markdown), outputs, visualizations, everything!
Stay tuned, this is coming
Did you know…
…you can track your MLflow experiments and still take advantage of collaboration in your projects? Read more here!
Do you like new Notebooks space and Jupyter extension?
We are always open for comments and feedback - contact us!