
marimo | a next-generation Python notebook
Explore data and build apps seamlessly with marimo, a next-generation Python notebook. Open source, reactive, and Git-friendly. Try it free in your browser.
Marimo - Wikipedia
Marimo were first described in the 1820s by Anton E. Sauter, found in Lake Zell, Austria.
marimo-team/marimo: A reactive notebook for Python - GitHub
marimo is a reinvention of the Python notebook as a reproducible, interactive, and shareable Python program, instead of an error-prone JSON scratchpad. We believe that the tools we use shape the …
Critical Marimo Flaw Exploited Hours After Public Disclosure
17 hours ago · A threat actor started exploiting CVE-2026-39987, an unauthenticated RCE vulnerability in Marimo, nine hours after public disclosure.
marimo · PyPI
Jan 27, 2022 · marimo is a reinvention of the Python notebook as a reproducible, interactive, and shareable Python program, instead of an error-prone JSON scratchpad. We believe that the tools we …
Marimo OSS Python Notebook RCE: From Disclosure to Exploitation in ...
1 day ago · Critical marimo RCE (GHSA-2679-6mx9-h9xc) exploited within 10 hours of disclosure. Sysdig TRT details real-world attacks, credential theft in minutes, and what defenders must do now.
Marimo Moss Ball Care: Setup, Growth & Thriving Aquarium Guide - Petco
Jul 28, 2022 · Petco's expert guide helps you care for Marimo Moss Balls! Learn aquarium requirements, propagation, and habitat mates to keep these unique, vibrant plants thriving.
Marimo RCE Flaw CVE-2026-39987 Exploited Within 10 Hours of …
1 day ago · CVE-2026-39987, a critical Marimo RCE flaw, was exploited within 10 hours of disclosure. Learn how it works, affected versions, and how to protect your systems.
Marimo (Moss Balls): Care Guide, Tips and Info | OurHouseplants
Moss Balls, or "Marimo" weren't traditionally grown as houseplants and it's not made of moss (it's actually an Algae called Aegagropila linnaei). But they make great indoor plants.
marimo | a next-generation Python notebook
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.