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.
Apache Thrift might be a bit more popular than Chartbrew. We know about 12 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 / 26 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
While gRPC and Apache Thrift have served the microservice architecture well, CloudWeGo's advanced features and performance metrics set it apart as a promising open source solution for the future. - Source: dev.to / 4 months ago
Services in general communicate via Thrift (and in some cases HTTP). Source: over 1 year ago
Protocol Buffers is the most popular one, but there are many others such as Apache Thrift and my own Typical. Source: over 1 year ago
RPC is not strictly OO, but you can think of RPC calls like method calls. In general it will reflect your interface design and doesn't have to be top-down, although a good project usually will look that way. A good contrast to REST where you use POST/PUT/GET/DELETE pattern on resources where as a procedure call could be a lot more flexible and potentially lighter weight. Think of it like defining methods in code... Source: over 1 year ago
The information can be stored in a database or as files, serialized in a standard format and with a schema agreed with your Data Engineering team. Depending on your information and requirements, it can be as simple as CSV, XML or JSON, or Big Data formats such as Parquet, Avro, ORC, Arrow, or message serialization formats like Protocol Buffers, FlatBuffers, MessagePack, Thrift, or Cap'n Proto. - Source: dev.to / over 1 year ago
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