DVC

DVC

Data Version Control for the GenAI Era

5.0•1 review•

44 followers

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Git-based data science. Apply version control machine learning development, make your repo the backbone of your project, and standardize best practices across your team.
This is the 2nd launch from DVC. View more

DVC Extension for VS Code

Track machine learning experiments right in your IDE
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 — all from the comfort of your IDE.
DVC Extension for VS Code gallery image
DVC Extension for VS Code gallery image
DVC Extension for VS Code gallery image
DVC Extension for VS Code gallery image
Free
Launch tags:
Open Source•Artificial Intelligence•GitHub
Launch Team

What do you think? …

Ivan Shcheklein
Maker
📌
Hey PH! I’m co-founder at Iterative and we are a team that builds and maintains DVC – a popular open source tool for ML. Today we are excited to share a DVC VS Code extension that turns the most popular IDE into a fully functioning ML experimentation platform: ✅ Run, track, and compare your experiments, metrics and params ✅ Queue multiple experiments and run them in parallel to try different ideas faster ✅ View deep learning metrics in real-time ✅ Make experiments reproducible with data, code, metrics, hyperparameters and models tracked together And no additional moving parts! No need to run any servers, no dependency on third-party SaaS solutions, etc. *Our backstory.* We started the company 6 years ago with a big vision to bring best practices, collaboration, and rigor into ML / DS workflow, while also providing the best experience to ML and DS folks. Large tech companies had heavy internal DS collaboration platforms for many years, clearly those tools were not useful and impossible to use outside. My co-founder Dmitry created DVC as an open source project, that is lightweight, requires only Git and CLI and brings reproducibility to ML projects. While DVC is a cool idea and became a very popular ML tool that is used by thousands of ML teams, we quickly realized that the CLI, Git-like interface can be a challenge as well. While giving really great guarantees similar to Git - immutability, codification, etc, etc, it was clear that we also need to meet our end users where they are - notebooks, Python scripts, VS Code, etc. Last year we made a lot of progress and this VS Code extension wraps all of it up into a really nice UI and UX within the most popular platform at the moment. Try it out and let me know what you think! 🤗
Alex Chepovoi
@shcheklein Wishing you soaring heights after your ProductHunt launch!
Mikhail Rozhkov
Maker
@shcheklein Thanks for sharing! I'm very happy for this launch! This extension is useful for ML projects, especially when using DVC and DVCLive.
Pavel Boyko
@shcheklein Congrats on the launch 🚀!
Dave Berenbaum
Maker
@shcheklein Great work by you and the entire team!
Maxim Mizotin
Congrats on the launch! Great tool!
Mikhail Rozhkov
Maker
📌
🎉 Kudos on the launch! The DVC Extension for VS Code is a game-changer for AI developers wielding DVC tools. I'm thrilled about the lightning-fast evolution and the shiny new features gracing the DVC Extension. It's not just about parameters and metrics comparison anymore – we're talking live metrics plots and images! 📊✨ The user interface has leveled up, flexing its muscles with newfound versatility and potency. Hold onto your hats, folks! GitOps ML just got a whole lot friendlier with this gem! 🚀🤖🪙
Julie Galvan
Maker
📌
Really proud of how far this extension has come! It's been a pleasure working on this with my fellow team members!