Projects sharing features with Flint Chart

This project is a D3.js data visualization tool and dynamic bar chart generator that converts historical ranking data from comma-separated values into animated visual timelines. It functions as a CSV ranking visualizer and time-series ranking dashboard to illustrate how the positions of different entities change over a period of time. The tool features automated sorting and ranking trend animations that transform static historical data into dynamic transitions. It includes customizable axis scaling, such as semi-logarithmic scales to handle extreme variances in data magnitudes, and dynamic co

billboard.js is a JavaScript charting library built on D3.js that renders interactive data visualizations from a single declarative configuration object. It supports a wide range of chart types including bar, line, pie, scatter, area, spline, step, candlestick, funnel, gauge, heatmap, radar, polar, treemap, bubble, donut, and sparkline charts, and can overlay multiple chart types within a single visualization. The library offers an opt-in Canvas rendering mode for improved performance with large datasets and high-density axis displays, alongside its standard SVG-based rendering. The library d

Epoch is a CSS-stylable charting engine and visualization library designed for real-time and statistical data. It functions as a timeseries charting tool that renders historical and live data using a hybrid of SVG and HTML5 Canvas graphics to maintain performance during frequent updates. The library distinguishes itself through a unified CSS querying system that applies styles to both vector and raster plot elements. This allows for visual theme resolution via CSS classes and the ability to customize the appearance of specific data series using stylesheets. The toolset covers a broad range o

dtale is a web-based interactive grid and visualizer for pandas dataframes, designed as an exploratory data analysis tool. It provides a browser-based interface for analyzing tabular data structures, allowing users to calculate statistics, detect outliers, and compute correlations without writing manual code. The project functions as an embedded data viewer that can be integrated into web applications via iframes or custom routes, with specific support for Django, Flask, and Streamlit. It enables the exploration of datasets through a combination of an interactive data grid and a data visualiz

react-vis is a declarative, component-based React data visualization library. It provides a framework of reusable building blocks for rendering interactive charts and graphs by mapping raw data to visual attributes such as position, color, and size. The system leverages D3 for its scaling and layout logic. The library is distinguished by its ability to handle complex data relationships, including hierarchical data via tree maps and circle packing, as well as multidimensional analysis using parallel axes and radar charts. It also supports network flow mapping to illustrate the volume and direc

morris.js is a JavaScript data visualization library and SVG charting framework. It is designed to render time-series line, bar, area, and donut charts to visualize complex datasets and distribution patterns. The library specializes in time-series charting to display temporal trends and track how specific values change over time. It provides tools for statistical data representation, allowing for the comparison of different data sets or the illustration of proportions within a whole. The framework enables the creation of web dashboard analytics by transforming raw data into graphical represe

This project is a React-based framework for constructing interactive, node-based visual interfaces. It provides a platform for building canvases where users define, connect, and organize logical processes, data pipelines, or complex workflows through a graphical interface. By utilizing a modular component architecture, it enables the development of low-code environments, visual programming tools, and interactive diagramming applications. The framework distinguishes itself through a declarative approach where state changes automatically synchronize with the visual representation of nodes and e

XlsxWriter is a library for generating spreadsheets in the XLSX format, functioning as an Excel workbook writer and file generator. It provides the capability to write data, apply cell formatting, and build complex layouts across multiple worksheets. The project distinguishes itself with a memory-optimized writing mode that flushes large datasets to disk row-by-row, enabling the creation of files exceeding 4 GB while minimizing RAM consumption. It also includes a specialized mechanism for embedding binary project files and digital signatures to enable VBA macros and signed scripts within work

PlantUML is a text-to-diagram generator that translates human-readable markup into structured graphical representations. It functions as a diagram-as-code tool, allowing users to create and maintain technical documentation, architectural models, and flowcharts by decoupling diagram content from visual layout. The project distinguishes itself through a comprehensive rendering pipeline that processes domain-specific markup into various output formats, including vector and raster graphics. It utilizes a graph-based layout engine to calculate spatial positioning, while a declarative styling layer

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

This project is a Model Context Protocol server and AI agent database connector. It provides a standardized communication layer that allows language models to interact with relational data stores, read database schemas, and manage PostgreSQL database resources. The implementation acts as a serverless host for the Model Context Protocol, deploying on distributed edge functions to connect AI assistants to a project. This enables AI agents to perform database administration, execute SQL queries, and handle schema migrations through an AI-compatible interface. The system covers broader capabilit

This project serves as a centralized directory and interoperability hub for the Model Context Protocol, providing a curated collection of standardized service connectors that bridge artificial intelligence models with external software, databases, and APIs. It facilitates the integration of AI agents with diverse ecosystems by offering a registry of machine-readable interface definitions that enable dynamic tool discovery and structured context injection. The directory distinguishes itself by focusing on the protocol-based interoperability required for autonomous AI agents to interact with he

AAChartKit is a declarative charting library and data visualization framework for iOS, iPadOS, and macOS. It functions as a multi-type statistical charting engine that renders a variety of plot types, including line, bar, bubble, box plot, and polar charts. The framework utilizes a Core Graphics vector rendering engine to draw visual elements with precise pixel control. It provides a system for interactive data visualization featuring built-in support for animations, zooming, panning, and user interaction events. The library covers broad capabilities for statistical data plotting and custom

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

MemOS is an open-source persistent memory layer for AI agents and large language models, providing a self-hosted server that stores and retrieves structured memory across sessions. It enables AI systems to recall user preferences, history, and context without retraining, using a graph-based API and a web management interface for viewing, editing, and organizing memory items, skills, traces, and knowledge bases. The system distinguishes itself through a portable memory interchange protocol that allows memory to be transferred between different AI models, devices, and applications, along with a

x-render is a configuration-driven UI framework and low-code interface builder that transforms structured data definitions into functional user interface components. It operates as a JSON-driven UI generator, using a standardized configuration protocol to render data tables, input forms, and charts. The system includes a visual form builder and interface design editor, allowing users to arrange layouts and configuration settings through a graphical interface to avoid writing manual structural code. This process is supported by a schema-based component library that maps configuration keys to a

This project is a multi-protocol API simulation and mocking system designed to replace external dependencies during development and testing. It provides an API mocking server, a network traffic proxy, and specialized simulators for language model services and identity providers. The system distinguishes itself through deep AI simulation capabilities, including the emulation of language model providers and Model Context Protocol servers using JSON-RPC 2.0. It supports multi-turn conversational logic, state tracking for AI chat APIs, and the visualization of agent execution through call graphs

The Model Context Protocol C# SDK is a library for building clients and servers that implement the Model Context Protocol to integrate AI tools and resources. It provides an AI tool integration framework and a multi-modal content handler to exchange text, images, and binary resources between AI models and external context providers. The SDK utilizes a JSON-RPC communication library to manage bidirectional data exchange. It features a transport-agnostic communication layer that supports standard input and output, HTTP, and in-memory pipes, with specific integration for ASP.NET Core hosting. T

Magic MCP is a Model Context Protocol server and AI component generator that translates natural language descriptions into functional user interface code. It acts as an LLM design orchestrator, producing responsive web elements and layouts anchored on utility-first CSS styling patterns. The system features a side-by-side variation engine that generates multiple stylistic interpretations of a single prompt for comparative selection. It incorporates SVG-based asset integration for branding and iconography and utilizes template-based assembly to combine pre-defined style patterns with user-speci

mcp-agent is a framework for building AI agents that integrate with Model Context Protocol servers to execute tools and access data. It functions as a multi-agent orchestrator and protocol-compliant server, enabling the creation of agents that can discover and invoke tools from connected external servers. The project distinguishes itself through a durable workflow engine that supports long-running tasks capable of pausing, resuming, and surviving restarts. It implements complex orchestration patterns, including iterative evaluator-optimizer loops, hierarchical workflow nesting, and specialist

Rea is a reverse engineering toolkit that lets AI agents analyze software through a local Model Context Protocol server. An agent can investigate how an application works, from observed behavior and web traffic down to native binaries, and return findings with supporting evidence and stated limitations. All analysis runs on the user's own machine, so the inspected software is not uploaded and only tool results are passed to the agent. For native code, Rea drives an installed disassembler or decompiler such as Hopper, Ghidra, IDA, or Kuna to produce pseudocode, assembly, strings, symbols, and

Klavis is a platform for managing Model Context Protocol (MCP) servers and providing sandboxed environments where AI agents can safely interact with external tools and services. It functions as an integration framework that orchestrates MCP server instances, exposes tools and resources for AI agents, and isolates agent interactions from production data through horizontally scalable sandbox environments. The platform distinguishes itself through its ability to generate long-horizon agentic tasks that simulate realistic tool-use workflows with live SaaS applications and production MCP servers.

Mermaid is a text-to-diagram rendering engine that transforms markdown-inspired text definitions into visual flowcharts, sequence diagrams, and Gantt charts. It functions as a markdown-based diagramming tool designed to keep technical documentation synchronized with development by defining visuals as plain text. The engine utilizes a sandboxed rendering process, executing diagram generation inside isolated frames to prevent malicious scripts embedded in user text from executing in the browser. The system handles client-side text transformation and domain-specific language parsing to map text

This project is a command line interface and GitHub CLI extension that functions as an AI coding agent and model orchestrator. It enables the writing of code and the management of repositories through natural language prompts using large language models. The tool implements the Agent Client Protocol to act as a standardized agent server for external editors. It features a provider-agnostic routing system that allows switching between different hosted AI models or external compatible endpoints. Capabilities include the automation of Git workflows, such as managing pull requests and issues, an

gptme is an autonomous AI agent server and framework designed for local system automation, software development, and code execution. It operates as a local execution engine that enables language models to run shell commands, modify local files, and interact with the operating system. The project functions as a Model Context Protocol client, integrating with external servers to expand agent capabilities with standardized tools and data sources. It features a provider-agnostic routing system to orchestrate tasks across multiple proprietary cloud APIs and local AI backends. The system includes

This project is a Model Context Protocol server that enables large language models to generate and render data visualizations, charts, and diagrams. It functions as a toolset for AI assistants to transform raw data into professional visual representations. The server utilizes an intelligent selection layer to determine the most effective visualization format based on the provided data. It supports remote rendering via external HTTP services and provides the flexibility to route requests to self-hosted rendering endpoints for private network environments. Capabilities cover a wide range of da

AiSOC is a self-hostable security operations platform that fuses alerts from many sources, triages them with language-model agents, and guides investigations mapped to MITRE ATT&CK. Its agents work only through typed tools, cite evidence for their conclusions, and send unsupported verdicts to human review. Every prompt, tool call, citation, verdict and cost is written to an append-only, tenant-separated decision ledger that can be replayed step by step and exported as a signed bundle that reproduces byte for byte. The platform also includes a Model Context Protocol server that exposes capabili