Open-source alternatives to Mcp Mermaid

ECharts is a JavaScript data visualization library and web charting framework used to render interactive 2D and 3D data plots within a web browser. It functions as a visualization engine that transforms raw data into customizable charts and graphs. The project includes a WebGL-based hardware acceleration engine specifically for producing three-dimensional plots and globe visualizations. This allows the library to handle large and complex datasets through GPU-accelerated rendering. The framework supports both canvas-based raster rendering and SVG-based vector rendering. It provides capabiliti

Hellocharts-android is a data visualization library and charting framework for Android applications. It provides a collection of custom view components used to render datasets as visual elements, such as line, column, and pie charts. The library supports interactive visualizations that allow users to navigate data through touch gestures, including pinching, scrolling, and panning. It also includes built-in capabilities for animating data points and chart elements to create smooth visual transitions during dataset updates. The framework covers a broad range of visualization needs, including c

This project is a declarative data visualization library that provides a composable suite of user interface components for rendering interactive charts. It functions as an SVG-based charting engine, allowing developers to construct complex visualizations by nesting modular building blocks such as axes, grids, legends, and data series within a unified layout. The library distinguishes itself through a highly responsive architecture that automatically reconciles layout changes and maps data domains to pixel coordinates using mathematical scale functions. It prioritizes performance through memoi

MPAndroidChart is an Android charting library and data visualization framework that provides a set of reusable view components for rendering statistical data. It enables the display of numerical datasets through various chart types, including line, bar, pie, radar, bubble, and candlestick charts. The library focuses on an interactive graphing workflow, allowing users to explore complex data sets through scaling, panning, and animations. It includes specific support for financial charting to track market trends and price movements, as well as tools for building mobile dashboards.

A grammar of data visualization and Flutter charting library.

metrics-graphics is a data visualization library and declarative graphics framework designed to create principled data graphics and layouts. It functions as a statistical graphics engine that maps raw data to geometric shapes and structured objects to render complex, data-driven layouts. The toolkit specializes in rendering time-series data through line charts and scatterplots using a consistent layout system. It also provides capabilities for statistical distribution mapping, including the creation of rug plots to represent one-dimensional data density. The system covers a broad surface of

A beautiful bezier line chart widget for flutter that is highly interactive and configurable.

WilliamChart is an Android data visualization library and toolkit used to render interactive charts and graphs within Android applications. It functions as a UI component library for integrating data-driven dashboards and metrics into Android layouts. The library includes a specialized component for representing proportional categorical data as donut charts, which are circular charts with hollow centers. It provides a drawing engine that uses low-level APIs to map numerical data to pixel coordinates on the screen.

:bar_chart: Create beautiful, responsive, animated charts using a simple and intuitive API.

An Android chart and graph library

91+ congressional data tools for Claude, Cursor, VS Code, and any MCP client.

The newest, fastest, and most advanced amCharts charting library for JavaScript and TypeScript apps.

Web UI for PrestoDB.

Altair is a declarative data visualization library for Python based on the Vega-Lite grammar. It allows users to create statistical visualizations by mapping data fields to visual properties rather than writing imperative drawing code. The library focuses on interactive charting through a system of linked selections and filters that update multiple visualizations based on user input. It renders charts as JSON and HTML for display in web browsers and interactive notebooks. The project covers statistical data analysis and interactive data exploration, providing capabilities to export visuals a

ng-apexcharts is an implementation of apexcharts for angular. It comes with one simple component that enables you to use apexcharts in an angular project.

ChartView is a SwiftUI-native charting library that provides bar, line, pie, and ring chart components within a unified grid-based layout system. The library renders charts by composing SwiftUI views declaratively from data models, letting the framework handle layout and updates without intermediate drawing layers. The library supports multiple chart types that share a common grid layout, enabling composable data visualizations with synchronized axes and backgrounds. Bar charts display data as vertical bars, line charts plot connected data points with gradient fills and optional markers, pie

Glot is a plotting library for Golang built on top of gnuplot.

A reactive table for Meteor, using Blaze.

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Data-center intelligence MCP server — 38 tools, 21,000+ data-center facilities (170+ countries), 232 US power markets (DC Hub Power Index), 2,000+ tracked M&A deals, ISO grid telemetry, fiber & energy pricing. Free to cite (CC-BY-4.0).

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