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Mito Website • Documentation • Discord • Email Jupyter extensions that make you work faster.
The main features of mito-ds/mito are: Automated EDA and Visualization.
Projects with overlapping indexed features include: asmuth/clip — Clip is a command-line data visualization tool designed to generate image-based charts and diagrams from text… camel-ai/owl — Owl is a framework for agentic workflow automation and multi-agent orchestration. It functions as a system for… autoviml/autoviz — Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators… districtdatalabs/yellowbrick — Yellowbrick is a machine learning visualization library and model diagnostic tool designed to analyze feature… fbdesignpro/sweetviz — Visualize and compare datasets, target values and associations, with one line of code. adamerose/pandasgui — About - Demo - Installation - Usage - Features - More Info.
Clip is a command-line data visualization tool designed to generate image-based charts and diagrams from text descriptions. It functions as a chart generator that converts written data and descriptive patterns into visual formats without the use of a graphical user interface. The tool specializes in producing scalable vector graphics, translating text-to-chart transformations into XML-based vector paths. This approach allows for the automated creation of technical illustrations and diagrams specifically suited for developer documentation. The system employs a template-driven layout engine to
Owl is a framework for agentic workflow automation and multi-agent orchestration. It functions as a system for coordinating autonomous large language model agents to decompose and execute complex tasks through shared communication and collaborative planning. The project distinguishes itself through a multi-modal toolset for processing images, audio, and video, alongside a synthetic data generator that produces domain-specific datasets using self-instruct and verifier loops. It further incorporates a retrieval-augmented generation pipeline framework that integrates long-term memory and real-ti
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
About - Demo - Installation - Usage - Features - More Info