DVC
Data Version Control for the GenAI Era
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DVC Extension for VS Code - Track machine learning experiments right in your IDE

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The DVC extension for VS Code converts your favorite IDE into a one-stop shop for all your ML tasks. Run and track experiments, visualize and compare experiments to discover the best models, and manage reproducible pipelines β€” all from the comfort of your IDE.

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Congrats DVC VSCode team, now everybody can leverage experiment tracking and comparisons from VSCode, so fantastic! 🫢πŸ”₯
Maker
Thanks ! Always great to see our community support!
Maker
Thanks !
Maker
Thanks for much !
Hey there, PH! πŸ‘‹ I had the opportunity to take part in the journey of DVC. What a ride it's been! As a contributor, it has been great to see the extension growing and evolving! Been around for a while… from experiencing what was a hard config from early versions to the β€œaha” moment after the 0.5.3 release introducing UI for easily configuring DVC…Happy to see how it has been moving from CLI to a more extension-friendly design and usage over time… 𝚍𝚟𝚌 πšŽπš‘πš™ πšœπš‘πš˜πš  anyone? Besides, I have had the opportunity to contribute to some issues and discussions, as well as reporting bugs that were related to machine learning common experimentation mental models, while learning about how to contribute in the Open. The funniest bugs were those corner cases in which some of the components disappeared πŸ™‚ Looking forward to seeing how this tool mutates and evolves into something fully accessible to Data Scientists!
Maker
Thanks Gema! Your contributions have been a huge part of raising the maturity of the extension!
Congratulations on your launch to Product Hunt. It'll definitely save a tremendous amount of time we spent on experiments for sure.
Maker
Thank-you so much. Do give it a try and let us know how you think we can make it even more useful.
: Sure, I'll. Thank you.
DVC has saved my Data Science life for over 5 years now! It's the only tool I trust.
Maker
That's great to read! Thanks so much for being an awesome Community member! ❀️
Congratulations on the launch! A suggestion I have is to consider integrating a feature that allows for collaborative work on experiments. Given the rise of remote work and distributed teams, this could be a huge boon for ML and DS teams working together on projects.
Maker
thanks!
Thanks for the feedback
Maker
Thanks for the feedback. The DVC extension for VS Code integrates very well with DVC Studio (), which enables easy collaboration for Machine Learning teams. Check it out and let us know what you think.
As a former Data Scientist this is the go-to for our team, definitely a great tool for managing your ML models, experimentation and metrics. Congrats on the launch here!
Maker
Thank-you!
Congrats on the launch! Does this integrate directly with the experiment tracking?
Maker
Yep! And the details of all your experiments can all be tracked in your Git repo!
Aha! I worked with folks at DVC back in 2020, on the SaaS version of this, DVC Studio. They're doing something absolutely great with the extension, providing intuitive GUI tools for folks who are working on machine learning problems, making it easy to onboard new folks into teams, and easy to collaborate with other teams (eng, product, etc etc). Congratulations on launching the extension, and on the whole series of launches with DVC 3.0! 6 years is a very long time in startup years. Stay strong and focused. πŸ‘πŸΌ β€οΈβ€πŸ©Ή
Maker
Thank-you for your encouragement today and for your involvement and support throughout the building of these tools!
Great job, congrats on the launch!
Maker
Congratulations, I use cursor.so, a fork of VSCode for my data science projects and this is going to be superhelpful! cheer, Amrendra
Good to see. We are always happy to help when you jump on a project on this
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