That's a good question. Cursor doesn't work with notebooks, it can't create, update or execute notebooks, Bloom supports notebooks natively. Cursor is created for software engineers, while Bloom is created for Data Scientists and Analysts.
very cool you built something for yourself, but just a heads up, cursor is adding notebook support next week (one of the founders posted it earlier this week on twitter).
I was tired of using ChatGPT/Cursor to generate code and then copy-pasting it into notebooks to actually run things, so I built Bloom.
Bloom is a local IDE for data science with an AI agent built-in. It works with Jupyter notebooks, helps you write SQL/Python, runs code, plots, and can even generate reports and dashboards.
The macOS installer is live on the website, the beta is free for a limited time. Would love feedback on what’s useful, what’s broken, and what you’d want to see next.
https://arxiv.org/abs/2406.02061v1 research paper shows the reasoning breakdown in SOTA LLMs by asking a simple question, “Alice has N brothers and she also has M sisters. How many sisters does Alice’s brother have?” I investigated performance of different prompts on this question, and show that 'Expand-then solve' prompt significantly outperforms standard and chain-of-thought prompts.
Auto-Analyst is a powerful UI tool that simplifies the process of running analytical queries on your data using plain English. With Auto-Analyst, you can easily perform complex data aggregations, visualizations, and analyses without writing a single line of code.
