Projects sharing features with D3xter

JimuReport is an open-source reporting and dashboard engine designed to be embedded directly into Spring Boot applications. Its core identity centers on generating data reports and full-screen dashboards from natural language descriptions, eliminating the need for manual design. The platform also provides a conversational query interface that translates plain-language questions into database queries, returning results as tables and charts without requiring SQL knowledge. What distinguishes JimuReport is its integration of AI skills that can be installed with a single command, enabling report

SwanLab is an open-source machine learning experiment tracking platform and observability tool. It provides a centralized dashboard for logging training metrics, hyperparameters, and hardware performance to monitor and analyze AI model training runs. The platform is distinguished by its focus on self-hosted infrastructure, allowing users to deploy private instances via Docker or Kubernetes for secure on-premises data control. It also includes specialized utilities for migrating historical experiment logs and synchronizing real-time metrics from external tools like MLflow. The system covers a

ggplot2 is a data visualization library for R based on a formal grammar of graphics. It provides a declarative plotting framework that allows users to create complex graphics by combining geometric objects, statistical summaries, and coordinate systems. The system is distinguished by a layered approach to composition, where visualizations are built incrementally by stacking independent geometric, statistical, and coordinate layers. It utilizes a hierarchical styling engine to manage non-data elements such as backgrounds, fonts, and margins, and includes a multi-panel faceting tool for splitti

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

Shiny is a framework for building interactive web applications using R code, eliminating the need for HTML, CSS, or JavaScript. At its core, it provides a reactive programming model that automatically tracks data dependencies and re-executes only the parts of an application that depend on changed inputs. The framework handles server-side UI rendering and maintains persistent WebSocket connections between the browser and server for real-time updates without page reloads. The framework distinguishes itself through deep integration with the R ecosystem, including the ability to embed interactive

MUI X is a collection of advanced React UI components for building data-rich applications, including a data grid, charting library, date and time pickers, scheduler, and tree view. The library is built with accessibility as a core principle, ensuring all components meet WCAG and WAI-ARIA standards for keyboard navigation and screen reader announcements. The components are designed for extensibility and performance. The data grid offers comprehensive data management with sorting, filtering, pagination, column pinning, row grouping, inline editing, and Excel export. The charting library support

This project is a Python education repository and programming tutorial designed to teach language fundamentals, from basic syntax and variables to advanced concepts. It serves as a data science starter kit and a guide for REST API integration. The repository provides instructional scripts and sample code covering object-oriented programming patterns and asynchronous programming. It includes practical demonstrations for fetching and processing JSON data from external web services using HTTP requests. The materials cover a broad capability surface including data analysis workflows with interac

This project is a comprehensive collection of high-performance UI components and SDKs designed for building data-rich, cross-platform applications in Flutter. It provides a unified library of modular widgets and processing tools that enable developers to implement complex interface requirements, including advanced scheduling, tabular data management, and interactive data visualization, using a consistent declarative architecture. The library distinguishes itself through specialized, enterprise-grade capabilities that extend beyond standard UI elements. It includes a robust document processing

Ant Design Charts is a data visualization framework and declarative component library designed for React applications. It provides a collection of reusable components that map complex datasets to graphical representations, enabling the creation of interactive charts, plots, and maps within web interfaces. The library utilizes a grammar-based mapping system to transform raw data into visual properties, supported by a layered graphic abstraction that separates data representation from interactive elements. It employs a canvas-based rendering engine to maintain performance when handling large da

This project is a collection of big data frameworks and pipelines, including an Apache Hive analysis framework, a behavioral data analytics platform, a predictive analytics engine, and real-time data pipelines. It provides the infrastructure for building Extract, Transform, Load (ETL) workflows to process large datasets for distributed storage and SQL-based analysis. The system supports diverse analytical implementations, such as a predictive engine using linear regression for value forecasting and a real-time architecture that moves data through message brokers for immediate reporting. It in

Spritejs is a graphics library and cross-platform 2D graphics engine designed for rendering geometric shapes and sprites across web, desktop, and mobile environments. It functions as a canvas-based sprite framework that manages elements using a document object model for positioning and styling. The project provides a web worker rendering engine that distributes graphic layers to offscreen canvases, preventing main thread blocking. It also includes a server-side graphics generator for producing visual elements and images in non-browser environments. The toolkit covers a broad range of graphic

Pts is a TypeScript creative coding library and data visualization framework designed for building generative art and interactive visuals. It functions as a multi-target graphics engine that outputs visual commands to HTML5 Canvas and SVG through a single unified interface. The toolkit serves as a linear algebra visualization tool, providing mathematical primitives for spatial transforms and geometric calculations. This allows for the creation of algorithmic patterns and the simulation of geometric behaviors. The framework covers a broad capability surface including the design of interactive

This project is a type-safe web application template and admin dashboard starter built with Next.js, TypeScript, and the shadcn/ui component library. It serves as a multi-tenant SaaS boilerplate designed for developing administrative interfaces and software-as-a-service applications. The starter distinguishes itself through integrated SaaS infrastructure, including multi-tenant workspace management, organization-level permissions, and subscription billing integration. It features role-based access control to gate specific pages and navigation items based on user roles or subscription tiers.

ResearchKit is an open-source framework for building iOS applications that conduct medical research studies. It provides reusable components for creating study apps that collect participant data through surveys, sensor-driven active tasks, and digital informed consent workflows. The framework includes a step-based survey builder for constructing multi-step questionnaires, an active task engine that guides participants through structured physical and cognitive assessments while capturing device sensor data, and a visual consent workflow that guides participants through study details with on-de

This project is an infrastructure platform designed to provide secure, isolated, and ephemeral cloud-based Linux environments for AI agents and automated code execution. It functions as an orchestrator that provisions on-demand virtual machines, allowing developers to run arbitrary code generated by large language models within hardware-level security boundaries. The platform distinguishes itself through its ability to manage stateful, long-lived sessions that persist across multiple execution calls, enabling complex, multi-step workflows. It supports high-concurrency scaling, allowing for th

InfoSpider is a personal data aggregator and digital footprint analyzer. It extracts user activity and history from social platforms and local browser database files to consolidate information into a unified format. The system functions as a social media archiving tool that converts feed data and albums from external links into downloadable PDF documents for offline preservation. It also serves as a browser history extractor that reads local SQLite database files to retrieve and analyze web navigation history. The project covers capabilities for data aggregation, digital footprint analysis,

This project provides an interactive notebook environment designed for executing C# code alongside instructional text. It functions as a platform for data science and programming education, allowing users to manipulate tabular data, visualize statistical results, and prototype machine learning workflows within a unified document format. The environment utilizes a kernel-based execution model that maintains persistent state and variable scope across notebook cells. By leveraging a language-agnostic protocol and standardized messaging, it synchronizes code execution between the editor and the b

This project is a neobrutalist UI component library and accessible design system for React. It provides a collection of high-contrast web elements characterized by bold colors, thick borders, and a raw aesthetic. The library distinguishes itself by combining a data visualization toolkit—featuring styled charts and responsive tables—with a comprehensive set of interactive components. It balances this specific visual style with accessibility standards for keyboard navigation and screen readers. The component surface covers a wide range of functional areas, including complex form controls with

HyperDX is an OpenTelemetry observability platform that provides centralized log management, distributed tracing, and a self-hosted monitoring stack. It functions as a unified system for collecting, indexing, and visualizing logs, metrics, and traces from cloud and container environments. The platform distinguishes itself with specialized tooling for large language model monitoring and session replay, allowing user interactions in the browser to be linked to backend telemetry. It employs schema-less JSON parsing to index structured logs dynamically and uses source maps to resolve minified sta

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

A collection of components that make it easy to build interactive charts with D3

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Reusable d3-based chart library.

A D3-based renderer for Dagre

dc.js is a multi-dimensional analysis tool and visualization framework used to build interactive data dashboards. It functions as a charting library that renders diverse SVG visualizations powered by D3 and integrates natively with Crossfilter to enable coordinated filtering across large datasets. The project is distinguished by its linked-view coordination, where selecting a data range or category in one chart simultaneously updates all other connected views. This allows for dynamic data exploration through dimensional chart linking and coordinated brushing, transforming raw datasets into na

A general purpose recommender metrics library for fair evaluation.