Datablocks Evaluation

Overview of Datablocks

Datablocks is a node based editor with several blocks for processing and visualizing data. It's based on the open source library React Flow.
Official website:

Setting up Datablocks

No installation is required for datablocks. All you need to do is to create a datablocks account by clicking on "Sign Up" as shown in the screenshot below. Once you have verified your email address, login to start using datablocks.
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Datablocks Functionalities

There are a total of 5 blocks in Datablocks:
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The main purpose of Datablocks is to explore and visualize data that you input without any coding involved. Example of data visualization that I created in Datablocks using sample data:
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Flow of what I did: Input csv file → Filter out rows where ladder score is empty → Slice data to extract only the first 10 rows → Visualize data in barchart format
Total of 4 visualization formats to choose from:
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Rather than being a UI library/tool, Datablocks is more of a tool to process and visualize dataset. The processing/visualization options in Datablocks can be useful in areas like machine learning. Since Datablocks does not fit the needs of our frontend, I would not recommend Datablocks as the frontend library.