Tracecast – open-source generative data apps built on top of Marimo
Hi HN, I'm Malachy, the founder of Tracecast. This project lets you generate interactive data apps on top of your data, using a Cursor-style AI chat. It stitches together Marimo, LangGraph agents, and data warehouse query tools. It has an Apache 2.0 license. The initial use case that spurred this project was business analytics, specifically generating product usage dashboards. This project's main inspiration is Marimo, an open source python notebook that can be "queried with SQL, run as a script, and deployed as an app" [1]. The recent release of Marimo Pair [2] demonstrated the power of…
Tracecast – open-source generative data apps built on top of Marimo launched on May 18, 2026 with 6 votes, #1,742 of 20,538 launches that month and more than 75% of that year's launches.
What it does
Hi! I'm Malachy, the founder of Tracecast. This project lets you generate interactive data apps on top of your data, using a Cursor-style AI chat. It has an Apache 2.0 license. The agent generates a fully functional Python notebook under the hood, so you can ask it for anything to better visualize and understand your data, from reactive components to creative visualizations and tabs.
Contribute to tracecast/open_data_apps development by creating an account on GitHub.
This project lets you generate interactive data apps on top of your data, using a Cursor-style AI chat. It stitches together Marimo, LangGraph agents, and data warehouse connectors. The main inspiration for this project was Marimo, an exciting open source python notebook that can be "queried with SQL, run as a script, and deployed as an app" ( source ). The recent release of Marimo Pair ( source ) demonstrated the power of connecting AI agents like Claude Code to Marimo notebooks directly. This project seeks to build on that work. It incorporates a LangGraph agent with two key abilities: (1) the ability to execute queries against a connected data warehouse (such as Snowflake); (2) the…from github.com
In the maker’s words, at launch
Hi HN, I'm Malachy, the founder of Tracecast. This project lets you generate interactive data apps on top of your data, using a Cursor-style AI chat. It stitches together Marimo, LangGraph agents, and data warehouse query tools. It has an Apache 2.0 license. The initial use case that spurred this project was business…
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Marimo – an open-source reactive notebook for Python2024 · github.com · ▲448Hi HN! We’re excited to share marimo, an open-source reactive notebook for Python [1]. marimo aims to solve well-known problems with traditional notebooks [2]: marimo notebooks are reproducible (no hidden state), git-friendly (stored as Python files), executable as Python scripts, and deployable as web apps. GitHub repo: https://github.com/marimo-team/marimo In marimo, a notebook’s code, outputs, and program state are always consistent. Run a cell and marimo reacts by automatically running the cells that reference its declared variables. Delete a cell and marimo scrubs…
Marimo pair – Reactive Python notebooks as environments for agentsApr 2026 · github.com · ▲140Hi HN! We're excited to share marimo pair [1] [2], a toolkit that drops AI agents into a running marimo notebook [3] session. This lets agents use marimo as working memory and a reactive Python runtime, while also making it easy for humans and agents to collaborate on computational research and data work. GitHub repo: https://github.com/marimo-team/marimo-pair Demo: https://www.youtube.com/watch?v=6uaqtchDnoc marimo pair is implemented as an agent skill. Connect your agent of choice to a running notebook with: /marimo-pair pair with me on…
WASM-powered codespaces for Python notebooks on GitHub2025 · docs.marimo.io · ▲204Hi HN! Last year, we shared marimo [1], an open-source reactive notebook for Python with support for execution through WebAssembly [2]. We wanted to share something new: you can now run marimo and Jupyter notebooks directly from GitHub in a Wasm-powered, codespace-like environment. What makes this powerful is that we mount the GitHub repository's contents as a filesystem in the notebook, making it really easy to share notebooks with data. All you need to do is prepend 'marimo.app' to any Python notebook on GitHub. Some examples: - Jupyter Notebook:…

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