Zerve’s Data Science Development Environment gives data science and ML teams a unified space to explore, collaborate, build and deploy data science & AI projects.

Free

Launch tags:Developer Tools•Artificial Intelligence•GitHub

Launch Team

Floot MCPBuild and ship web and mobile apps inside Claude or ChatGPT

Promoted

Great product and team behind this one. We were introduced to an early MVP and could see its potential very early on. The passion and focus shown by the founding team is immense. This has come a long way in a short period, solving real problems. Incredible Launch! Congratulations to all involved.

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2yr ago

Zerve AI

Maker

@noel_dykes Thanks very much! Your feedback and insights were invaluable. Hope all is well!

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2yr ago

Zerve AI

Maker

Been one wild jounrney to get here to be an enterprise scale data science platform that treats coders as first class citizens and provides practical tools to get solutions delivered quickly. Leave those dead kernels behind and please do try out our unique and first of all appraoch towards dealing with data problems. I'm so proud to be a part of this amazing team.

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2yr ago

Zerve AI

Maker

Its been unreal to be part of the journey so far and to do it with this group makes it even better! Building a community around Zerve and staying in really close touch with our users and advocates is incredibly important to us and we're going to be running this all through Discord going forward. Join the community here: https://discord.gg/D7EC2dFK

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2yr ago

Zerve AI

Maker

Congrats to the team on the launch! Give it a go and discover how Zerve AI is aiming to revolutionize data science and AI development!! 🚀

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2yr ago

PixelFree Studio

Great work on your software here. I really like the idea of your product. I'll give it a try in the future. Congrats for your launch.

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2yr ago

Cortex

Congratulations on the launch -- it's super impressive what you guys have done! Will start using it along with my team from next week onwards :)

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2yr ago

Found this project interesting and gave it a try. It seems users need to be cautious about connecting blocks, their order, and data flow. Encountered an issue with cyclical dependencies causing the Run to get stuck. In a collaborated environment, when the graph becomes large, debugging for this kind of issues would be very challenging. A smoother experience with improved guidance on connection management would be fantastic!

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2yr ago

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5.0

Based on 35 reviews

Review Zerve AI?

Reviewers consistently describe Zerve AI as an easy-to-use, collaborative workspace for data science work, with repeated praise for its clean UI, smooth performance, and ability to save time on projects. The most specific feedback highlights parallelized code blocks or pipelines, shared team workflows, and working with SQL and Python on the same canvas. Several users say it runs well even without powerful hardware. Critical feedback is sparse, though one early user notes that some areas still need more work.

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