hal9 VS marimo

Working on hal9.ai -- Long term, a Roblox for AI; short term, a Python customizable ChatGPT that is enterprise ready. Think of ChatGPT without the LLM and support for writing your own RAG.

https://github.com/hal9ai/hal9

For those interested, you can use LLMs to process CSVs in Hal9 and also generate streamlit apps, in addition, the code is open source so if you want to help us improve our RAG or add new tools, you are more than welcomed.

- https://hal9.ai

- https://github.com/hal9ai/hal9

Hi there! We built Hal9 (GitHub) to make it radically simpler to create, deploy, and share applications powered by LLMs, diffusers, and other AI models. Whether you're working on chatbots, agents, APIs, or generative apps, Hal9 is designed to minimize the engineering overhead so you can focus on the AI itself.

Hi 👋🏼 I'm Javier, we've been working on an OSS library called hal9. It allows you to build data applications with Python and R with a callback model, kinda like between streamlit and dash.

linky https://github.com/marimo-team/marimo#:~:text=all%20in%20a%2... (Apache 2)

You might be interested in marimo [1], which does not store your outputs in the notebook artifact. Also the files are stored at pure-python instead of json, which LLMs much prefer / easier for them to parse.

[1]: https://github.com/marimo-team/marimo

It's probably an unrelated post (apologies in advance) but I wanted to shoutout to the Marimo (https://marimo.io), it's the only Jupyter alternative that really got me excited, it's like Streamlit and Jupyter had a kid (and the kid took the best genes from both).

this sort of hackery to work with jupyter notebooks is exactly why we are building marimo (https://github.com/marimo-team/marimo). this should not be the standard

Hey all, this is Akshay, co-creator of marimo, an open-source reactive Python notebook that's been on HN a few times (https://github.com/marimo-team/marimo).

Since our ShowHN earlier this year (https://news.ycombinator.com/item?id=38971966), marimo has grown to over 1M downloads and dozens of contributors.

To keep up, our company Marimo Inc. has raised a seed round led by Anthony Goldbloom (founder of Kaggle) and Shyam Mani at AIX Ventures. We're also backed by Jeff Dean (Google), Clem Delangue (HuggingFace), Ben Hamner (ex-Kaggle, Sumble), Charlie Marsh (Astral), Paige Bailey (Google), Lukas Biewald (Weights and Biases), Wes McKinney (Posit, Composed Ventures), Jordan Tigani (MotherDuck), and Shane Barratt.

Our fundraise lets us keep doing what we’ve already been doing ­— building marimo. We’re committed to developing in the open, and to keeping marimo free, open-source, and permissively-licensed.

Just as we’re making marimo a great programming environment for working with data, one day we'd like to make a great platform for working with data. Our company will eventually offer a product that optionally integrates with marimo and other tools we develop, but the tools themselves will always be open source and permissively licensed.

For now, our fundraise lets us fully commit to building the marimo notebook. It also gives us the room to explore building other tools for working with data. We’ve come a long way since our ShowHN, but there’s still a lot more we want to build. We're currently brainstorming our roamdap to V1 and would love your feedback: https://github.com/marimo-team/marimo/discussions/2899

Have you considered using marimo notebooks?

https://github.com/marimo-team/marimo

marimo notebooks are stored as pure Python (executable as scripts, versionable with git), and they largely eliminate the hidden state problem that affects Jupyter notebooks -- delete a variable and it's automatically removed from program memory, run a cell and all other cells that use its variables are marked as stale.

marimo notebooks are also readily parametrized with CLI arguments, so you can do: python notebook.py -- -foo 1 -bar 2 ...

Disclosure: I'm a marimo developer.