Hey! this is Moritz. one of the creators of datablocks. the project is in a very early stage and more like a showcase right now. If you have any feedback, please let me know :) It's very valuable for us. We open sourced the underlying library for creating the flows. It's called react flow https://reactflow.dev/. The backend is built with nhost and we can really recommend it -> https://nhost.io/! Thanks for the nice words here :)
Well I’ll be damned. I literally just discovered react-flow about two hours ago while spelunking some other app’s source. It has unlocked so many ideas in my head! I’ve been sitting with the whiteboard scribbling stuff to make it with it… it’s gonna be a long night lol
I'm working on a product that uses react-flow, and I just wanted to thank you for developing that awesome library! As a data professional, I also think Datablocks is pretty amazing. I would only add that you guys should consider adding "Output" blocks: Postgres, BigQuery, Mongo, etc. outputs would be super useful -- extra points for spinning up a temporary DB in the cloud.
Looks slick. We are doing something similar but different with https://www.easydatatransform.com. Although data scientist seem mostly wedded to R and Python, I think no-code graph-based tools have a lot to offer to everyone else.
I guess this isn't an ETL but the look and featureset overlap with the ETL space quite a lot. Hence it would be interesting to know how this compares with the many graphical ETL tools out there, say SSIS, Pentaho, Talend, Stitch, Apache Airflow, Parabola.io
I also liked a similar product, aimed more at ETL/ML/AI segment, that was recently posted on HN:
https://hal9.ai
Question: I added a 'HTTP Request' which returns JSON data, but connecting it to the 'Sort' block shows a warning/error: 'Data input is not valid. Accepted types are: DATASET'. So how do you convert JSON to a dataset?
Something that might be cool is also identifying the schemas and the ranges. You would probably be able to automatically generate some of these blocks. You could use something like this:
