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This is the future of data science development. Zerve is a new web-based IDE. It's block-based like a Jupyter notebook but follows a different philosophy, and the experience is much different. Check the attached video. I'll walk you through a simple example. Zerve is not a fork of Jupyter.... It's a completely reimagined experience where collaboration is a first-class citizen. But there's something else: Unlike in a regular notebook, you can deploy your models directly from Zerve. They store and cache every asset we use and generate inside a notebook, so it takes seconds to deploy your work. A few additional notes about Zerve: 1. It's web-based, so you can access your work anywhere. 2. Collaboration is a first-class citizen. 3. You can deploy your code without going anywhere. 4. It promotes code modularity by using blocks. 5. You can use multiple languages together. 6. You can run code blocks in parallel. Zerve organizes your code as a DAG. Each block inherits the state of every block before it. Everything runs in a serverless architecture. Zerve is free. You can start using it right now by visiting Thanks to the team for answering my questions and sponsoring this post.show more

Santiago

451,968 subscribers

84,643 views • 2 years ago •via X (Twitter)

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11 Comments

Akshay Agrawal2 years ago

@marimo_io is not a fork of Jupyter. It's a completely reimagined experience that models your code as a DAG, giving you reproducibility, maintainability (version with git!), and deployability as interactive apps or scripts. Plus, it's all open source

Hesam2 years ago

couple an LLM with this graphic interface and DS will be almost CODELESS. Cool one 👌

Ravi | ML Engineer2 years ago

This actually looks pretty cool

Rudraksh Karpe2 years ago

Looks pretty interesting!

Pawel Jastrzebski 🇵🇱 🇬🇧2 years ago

I like the setting of your studio/office.

Santiago2 years ago

Thanks! It's a lot messier than what you can see in the video.

Omer Gronich2 years ago

Is the Zerve UI written in python or react? 😉

Lauren Neal2 years ago

i'm intrigued

Okot2 years ago

How I wish there was part showing visualizations from matplotlib, and other libraries with beautiful visualizations.

Ryan Lisse2 years ago

@memdotai mem it

Mem2 years ago

@svpino Saved! Here's the compiled thread:

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