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What is marimo?
Introducing a cutting-edge reactive notebook tailored for Python, enabling users to perform repeatable experiments, execute scripts effortlessly, launch applications, and manage versions via git.
🚀 All-in-one solution: it effectively replaces tools like Jupyter, Streamlit, Jupytext, ipywidgets, and Papermill, among others.
⚡️ Adaptive: upon executing a cell, Marimo instantly processes all related cells or marks them as outdated.
🖐️ Interactive: effortlessly link sliders, tables, and graphs to your Python code without requiring callbacks.
🔬 Consistent: it eliminates hidden states, ensures deterministic execution, and incorporates built-in package management for reliability.
🏃 Versatile: can be run as a standard Python script, enabling adjustments through CLI arguments.
🛜 User-friendly: has the capability to morph into an interactive web application or presentation and operates seamlessly in the browser via WASM.
🛢️ Data-focused: proficiently queries dataframes and databases using SQL, while allowing easy filtering and searching through dataframes.
🐍 git-friendly: saves notebooks as .py files, simplifying version control processes.
⌨️ Modern editing: equipped with features like GitHub Copilot, AI assistants, vim keybindings, a variable explorer, and numerous other enhancements to optimize your workflow.
With these advanced features, this notebook transforms your Python programming experience, fostering a more productive and collaborative coding atmosphere, making it easier to share insights and results with others.
What is Loupe Browser?
Loupe Browser distinguishes itself as an effective visualization platform, equipped with intuitive features that are crucial for exploring and analyzing datasets from 10x Genomics Chromium and Visium. Furthermore, the LoupeR package streamlines the process of converting Seurat objects into formats that are compatible with Loupe Browser. The interactive capabilities of Loupe Browser are well-demonstrated through its application to a lung squamous cell carcinoma dataset. A key aspect of the user interface is the view panel, which displays individual points, each corresponding to a cell barcode, across various projections. Typically, each point represents the barcode of a single cell, facilitating detailed analysis. The default projection is a t-SNE plot generated by the cell ranger pipeline, but users also have access to other visualization options. They can easily drag the mouse over the cells to reposition the plot and utilize the mouse wheel or trackpad for zooming in or out. Additionally, when the mouse hovers over the plot, cluster labels appear, which is especially advantageous for analyzing datasets with many precomputed clusters. This feature significantly enriches the analytical process, allowing for easier identification and interpretation of intricate data patterns. With its user-centric design and functionality, Loupe Browser empowers researchers to gain deeper insights from their genomic data.
Media
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Integrations Supported
API Availability
API Availability
Pricing Information
$0
Free Version
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Windows
Mac
Linux
Supported Platforms
Windows
Mac
Linux
Customer Service / Support
Not specified
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
On-Site Training
Company Facts
Organization Name
marimo
Date Founded
2022
Company Location
United States
Company Website
marimo.io
Company Facts
Organization Name
10x Genomics
Date Founded
2012
Company Location
United States
Company Website
www.10xgenomics.com/support/software/loupe-browser/latest
Categories and Features
Application Development
Not specified
Categories and Features
Bioinformatics
Not specified
Genomics Data Analysis
Not specified