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
No features have been listed yet.
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nbviewer.org might be a bit more popular than Chartbrew. We know about 13 links to it since March 2021 and only 10 links to 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 / 27 days 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 1 year ago
Is it similar to https://chartbrew.com ? - Source: Hacker News / over 1 year ago
Chartbrew (server): Chartbrew is open-source reporting service which really makes it easy to visualize data. - Source: dev.to / over 1 year 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 2 years ago
Example notebooks are included in the repo and can be previewed using nbviewer:. Source: over 1 year ago
Nbviewer (https://nbviewer.org/): very easy to use for smaller jupyter notebook that does not require heavy rendering. Source: over 1 year ago
Nbconvert renders everything exactly as it looks in your notebook app into a read-only HTML version and is what GitHub uses for notebooks. Interactive plots from Bokeh, Holoviews, etc can still work if you trust the JS, and since editing notebooks while showing them during a meeting usually doesn't go well, read-only is probably good enough (eager to hear feedback on this point though). The nice thing is that... Source: over 1 year ago
Just as a heads up, I used plotly to generate a lot of the charts, so you'll need to view it from an nbviewer like nbviewer.org. Source: about 2 years ago
I used a lot of plotly not knowing that Github wouldn't show it, so you'll need notebook viewer like nbviewer.org to see some of the charts. Source: about 2 years ago
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