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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⚡️ Adaptive: upon executing a cell, Marimo instantly processes all related cells or marks them as outdated.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 Autoplot?
Autoplot is an all-encompassing workspace tailored for macOS that seamlessly integrates the processes of importing, analyzing, visualizing, annotating, and publishing scientific data, thereby removing the hassle of repetitive copy-and-paste tasks typically required when using various applications like chatbots, terminal interfaces, and image editing programs. Users can effortlessly import files from both local sources and SFTP, define delimiters, headers, and encoding formats, merge multiple files into one project, and apply Python scripts provided by an assistant for tasks such as filtering, splicing, or generating derived variables. Among its extensive features, pre-approved analysis cards encompass a diverse array of statistical techniques including CCDF, AUC, log-binned distributions, power-law and truncated fits, as well as diagnostics for Xmin, finite-size scaling, scaling relations, and correlation matrices and networks, while users also have the liberty to design custom statistics to be executed within the embedded Python environment. The outputs generated in Autoplot can be reused, allowing them to be replotted, refitted, layered, composed, or exported as required without needing to rebuild the workflow from the beginning. Additionally, Autoplot offers a wide range of visualization options, such as X&Y plots, histograms, heat maps, categorical charts, and 3D representations including scatter, surface, and line plots, while also enabling the addition of unlimited overlays, fits, and contours, ensuring users have a flexible toolkit for their scientific data requirements. With its intuitive interface and robust functionalities, Autoplot emerges as an indispensable resource for researchers and scientists across various disciplines, fostering a more efficient approach to data management and analysis. As the demand for streamlined scientific workflows continues to grow, tools like Autoplot are paving the way for innovative research methodologies.
Media
No images available
API Availability
Has API
API Availability
Has API
Pricing Information
$0
Free Trial Offered?
Free Version
Pricing Information
$7.99 per month
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
marimo
Date Founded
2022
Company Location
United States
Company Website
marimo.io
Company Facts
Organization Name
Autoplot
Company Location
Spain
Company Website
autoplot.ai/
Categories and Features
Application Development
Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Popular Alternatives
Popular Alternatives
No Alternatives