
Creating a Cross-platform Data Sandbox that makes Working with Data Easier and Faster
Hello everyone! So for the past few months I have been working on a side project about a data centric cross platform desktop app that I call Varan, and I want to get some advise on improving it. After some observations from my colleagues, classmates and overall people that work in data science related fields, I have seen some problems and frictions and I wanted to change that Here is a full documentation of the project: https://docs.google.com/document/d/1fx3FBMWKLdiCfUIy3WdL9qJDT8GT5KlzzzNjqSNMuq0/edit?usp=sharing What I observed: Lots of time is is spent on environment setups and configs if you are starting from scratch, and it doesn't even have any effect on your final results Tool dependencies: people use several tool simultaneously just to do their work, which leads to more friction and context changes, for example, db visualizers, python notebooks and so on, several apps at the same time Most of the current apps depend on servers, more like cloud services, and are not giving the
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