Awesome, glad to hear it’s working for you now! 🎉 We realized native SQL generation was the right move for reliability and consistency. Appreciate you sticking with it - let us know if you run into anything else!

It just merged. Take a look in the readme how to set it up :)

Lol, love that! Even one person can change the world! 😄🌍

Regarding OpenAI - yes, it’s going to stay OpenAI-compatible, but I’m actually about to add a PR that will allow you to choose the LLM host, so local models will be an option soon! Stay tuned. 🚀

Give ours a try! I’d love to hear your feedback - hopefully, it’ll be an even better experience lol

Thanks for the kind words and great feedback! Query capabilities are on our radar, and your input reinforces its importance. The mouse wheel suggestion for zooming is a great idea - I’ll note it for future updates. Glad to hear you’ll give ChartDB a try alongside DBeaver - let us know if you have more ideas or feedback! (give a look to our next innovation - https://buckle.dev/ Would love to chat. feel free to DM me somehow :)

Thank you! 😊 Really appreciate it! We’re excited to keep improving and adding new features. If you have any feedback or ideas, feel free to share!

Thanks for your interest! I appreciate the curiosity about ChartDB’s growth. We’ve been fortunate to receive a lot of positive engagement from the open-source community since launch, especially after being featured on the front page of Hacker News twice, which brought significant visibility. Our goal has always been to build an open-source tool that resonates with developers, and we’re humbled by the interest so far.

Happy to share more about our journey, the challenges, and how the community has driven our development if you’re interested. Transparency and genuine community engagement have always been important to us!

Thanks for the thoughtful feedback, Daniel! You bring up a great point about the complexity of the current approach with the SQL script and the reliance on pbcopy. We’ll definitely consider simplifying it by providing just the raw SQL query, so users can run it in whatever way works best for them. As for the cloud version, we’re leaning towards using LocalStorage for data storage on the client side to keep everything local to the user’s machine, ensuring privacy and control. We’ll make this clearer in the UI and documentation. Appreciate the suggestions - they’re super helpful as we continue refining ChartDB!

Thanks a ton! Glad you like the design - keeping it and user-friendly is what we’re all about. We’ll be here whenever you’re ready to give it a spin!

Great question! You don’t have to send anything to a third party - exporting SQL scripts tailored to a specific dialect is optional. By default, we offer a generic SQL export, and only when you need precise, dialect-specific scripts does AI come into play. In the self-hosted version, you’d provide your own OpenAI token, so data stays entirely in your control. Hope that clears it up!

That’s awesome to hear! Thanks for giving ChartDB a shot! We’d love to know how it stacks up for you and if there are any features you think would make it even better. Feel free to reach out here or join our Discord if you have questions or feedback along the way.

Hey! I get the AI hesitation - it’s everywhere, and I totally understand if you’re wary of buzzwords! With ChartDB, our focus is on making database diagramming simpler, faster, and visually intuitive without the bloat you sometimes find in other tools. The AI component is there mainly to speed up migrations and adapt the tool to specific SQL dialects, so it’s helpful but not in your face.

As for why it might work better for you than DBeaver, ChartDB shines if you’re looking for a minimal, open-source way to visualize schemas quickly without needing a full database management suite. It’s lightweight, community-driven, and designed to do one thing really well: diagram and share schemas with simplicity. Plus, we’re always open to feedback and building features that our community finds valuable!

Lmk how was it pls :) Thank you!

So happy to read that! Hope you will enjoy and find it as useful as you imagine! Thanks for sharing :)