I am not a fan of the dbeaver, beekeeper, adminer, etc experience because they are bloated, ugly, and at best okay but not great.
Hence why I started working on WhoDB.
The approach:
- browser-based (chrome/firefox)
- no bloat
- jupyter notebook-like experience (Scratchpad)
- built-in AI co-pilot with ollama (local) or openai/anthropic
We just shipped query history and replay (time travel?) to the Scratchpad.
Would love for you to check it out and give some feedback aka roast us into oblivion:
docker run -p 8080:8080 clidey/whodb
Food for thought:
1. What's your biggest database pain point?
2. Any killer feature missing from current tools?
> No more wasting time crafting complex SQL queries
I always wondered about this sentiment; isn't the time spent crafting complex queries a good thing when trying to understand a problem domain? I.e. incrementally refining your mental model of the data model
For clarification- am I correct that what you are referring to as "time travel" is simply a history list of prior queries you've run? Can I today, run a query and see what the results would have been in the database last month (or yesterday, or 2 hours ago, etc)?
[0]: https://github.com/clidey/whodb/blob/main/core/src/llm/llm_c...
Maybe it is just me but literally every single product that has tried to eliminate SQL somehow with a conversational interface has never seen mass success, if they did, we wouldn't be using SQL anymore
People confuse the two, and rightfully dislike the former while dangerously resenting the latter.
But the only screenshot on the Github page was decidedly not that. It wasn't showing something very appealing visually, or immediately obvious in terms of necessity for a tool calling its competitors ugly and bloated
I don't use any of the ones you listed so maybe they're even uglier, but I would maybe tweak the pitch and make it clearer who this is for