Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create beautiful charts. It features a chart builder, editable dashboards, embeddable charts, query & requests editor, and team capabilities.
Chartbrew can be self-hosted for free or used as a managed service at chartbrew.com.
Charbrew integrations (head over to the website for an up-to-date list)
MySQL
PostgreSQL
MongoDB
Firestore
Firebase Realtime Database
Custom REST API
Google Analytics
Customer.io
Some of Chartbrew's features
Based on our record, Observable seems to be a lot more popular than Chartbrew. While we know about 315 links to Observable, we've tracked only 10 mentions of Chartbrew. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Congrats on the release! How does it compare to https://chartbrew.com ? - Source: Hacker News / about 1 year ago
I'm working part-time on my project https://chartbrew.com It's an open-source data visualization and reporting platform that I started in 2018, I abandoned in 2019, then resumed working on it more seriously in 2020. Currently, the platform is doing $1,138 in MRR from then managed hosting service and has made over $11k in revenue so far. It's been growing steadily in the last few months but going through a rough... - Source: Hacker News / over 2 years ago
Is it similar to https://chartbrew.com ? - Source: Hacker News / over 2 years ago
Chartbrew (server): Chartbrew is open-source reporting service which really makes it easy to visualize data. - Source: dev.to / over 2 years ago
I did the same thing with Google Firebase for my herb garden! Also, if you want to chart data, Chartbrew is a great tool. I plan on doing this with a hanging drip wall as soon as my area has spring plants to buy! Source: over 3 years ago
Thanks! I agree that in the few example images you've shown it looks quite natural. In other implementations I could always see "ghosts" of the Hilbert curve in the resulting image (usually these were 1-bit images, that might have been a factor), so that used to turn me off of it a bit, even though I find it a very elegant algorithm. On the note of matrix based error diffusion exploring other methods, maybe you'd... - Source: Hacker News / 8 days ago
Isn't it more a matter of how space is folded in higher dimensions rather than an increase in volume that accounts for containment? There is plenty of space in the corners after all[0]. [0]: https://observablehq.com/@tophtucker/theres-plenty-of-room-in-the-corners#Fig2. - Source: Hacker News / 6 days ago
Using other constants in place of the ‘4’ can lead to some _really_ gigantic smallest solutions: https://observablehq.com/@robinhouston/a-remarkable-diophantine-equation. - Source: Hacker News / 29 days ago
"Observable is obnoxious if you want to add a D3 pie chart to your Vue application and have to untangle calls to D3’s API from reactive cell values, which look like ordinary JavaScript, but are not, and will cause compilation and runtime errors when copied." Yep - as I wrote: "If you want to just blindly copy and paste d3 code, you may have issues with the docs being hosted on observable." If instead you learn the... - Source: Hacker News / 2 months ago
I'd imagine many nested named capturing groups may trip even the best automated system! I do like the solution though. I would've probably approached it differently, trying to first get the 'inverted' match (i.e. Not matching anything that isn't a currency like pattern) and refine from there. A bit like this one I did a while back, to parse garbled strings that may occur after OCR [0]. I imagine the approach does... - Source: Hacker News / 3 months ago
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