14 रिपॉजिटरी
Tools for rendering data as charts, graphs, and dashboards.
Distinguishing note: Focuses on the visualization layer rather than the data storage.
Explore 14 awesome GitHub repositories matching user interface & experience · Data Visualization. Refine with filters or upvote what's useful.
Umami is a self-hosted, privacy-focused web analytics platform designed to provide full control over infrastructure and user data. It captures website traffic and visitor behavior through anonymous tracking methods that avoid cookies, browser fingerprinting, and the storage of personally identifiable information. The platform distinguishes itself through a comprehensive suite of behavioral analysis tools, including session replays, heatmaps, and cohort-based retention reporting. It features a multi-tenant architecture that allows teams to manage multiple websites within a single, collaborativ
Renders interactive charts and metrics by mapping API results to modular UI components.
Charts is a mobile data visualization library designed for rendering interactive graphical representations of complex datasets. It provides a declarative configuration interface that maps data structures to visual components, supporting a variety of chart types including line, bar, pie, scatter, and radar plots. The library distinguishes itself through a hardware-accelerated drawing layer that ensures high-performance rendering across mobile platforms. It features a gesture-driven transformation engine that enables users to pan, zoom, and scale views, alongside an interpolated animation syste
Provides tools for highlighting specific data points with customizable popups during interaction.
TDengine is a distributed time-series database designed for the high-speed ingestion, compression, and retrieval of timestamped metrics and sensor data. It functions as a SQL-compatible analytics engine, allowing users to perform complex operations on massive volumes of time-ordered information using standard relational syntax. The platform is built to serve as a backend foundation for industrial IoT environments, managing real-time data streams and device metadata through a cluster-based architecture. The system distinguishes itself through a distributed sharding architecture that uses consi
Connects to visualization software for real-time monitoring of data trends.
Plotly.py is a comprehensive framework for building production-ready data applications and interactive dashboards directly from Python code. It functions as both a high-performance visualization library for browser-based charts and a full-stack tool for transforming analytical scripts into responsive, web-based interfaces. By abstracting away the need for manual HTML or JavaScript, it allows developers to define complex layouts and functional logic using modular, reusable components. The framework distinguishes itself through a robust architecture that handles event orchestration and state sy
Generates dynamic, browser-based charts and graphs that allow users to explore information through zooming, panning, and hovering.
This project is a modular, terminal-based dashboard framework designed to aggregate and display real-time information within a grid-aligned interface. It functions as a centralized monitoring tool that translates data from local system resources, infrastructure services, and external web APIs into a unified, text-based display. The dashboard is distinguished by its plugin-based architecture, which allows users to encapsulate distinct data sources and display logic into isolated, independently managed modules. Users define their workspace through declarative configuration files or an interacti
Renders numerical data as vertical bar charts for visual trend analysis.
Tremor is a React component library designed for building analytical dashboards and data-driven web interfaces. It provides a collection of modular UI elements and pre-styled charts that allow developers to render complex datasets into clear visual summaries. The library functions as a utility-first UI kit that integrates with styling frameworks to ensure consistent design across dashboard layouts. By utilizing a declarative composition model, it enables the assembly of interfaces through reusable layout containers and property-driven visual configuration, decoupling raw data processing from
Decouples raw data processing from graphical rendering to allow flexible integration with various data sources.
Pygwalker is a library that transforms tabular data into interactive, drag-and-drop interfaces for exploratory analysis and visualization. It functions as a grammar-based framework that translates user interactions into declarative chart definitions, allowing for the creation of dynamic data exploration environments directly within notebooks or embedded web applications. The system distinguishes itself by offloading heavy analytical computations to backend kernels, which maintains responsiveness when visualizing large datasets. It supports the serialization of visual states into portable conf
Embeds graphical interfaces for data manipulation and visualization into web applications.
Prowler is a multi-cloud security scanner and security posture management tool. It automates security and compliance assessments across multiple cloud environments to identify misconfigurations and vulnerabilities. The project provides a multi-cloud security analysis engine that operates as an automated auditor, evaluating infrastructure against industry-standard regulatory frameworks and security benchmarks. It features a cloud security visualization dashboard that uses a graph database to map cloud inventory and visualize potential attack paths. Capabilities include automated cloud infrast
Ships a web-based interface for rendering security scan results as interactive charts, graphs, and dashboards.
Chainlit is a Python framework designed for building and deploying interactive, stateful conversational AI interfaces. It provides a backend-driven platform that connects language models and agent frameworks to a web-based chat frontend, managing the complexities of session state, message history, and real-time communication. The framework distinguishes itself by offering a component-based UI builder that allows developers to inject interactive widgets, rich media, and data visualizations directly into the chat stream. It supports the visualization of complex agent workflows, enabling users t
Renders static or interactive charts and tabular data directly within the chat stream.
React Sortable Hoc is a library for building drag-and-drop reorderable lists and grids within web applications. It provides a set of reusable components designed to integrate into the component-based architecture of React, allowing users to rearrange elements through mouse or touch input. The library utilizes a higher-order component pattern to inject drag-and-drop state management into existing list components without requiring modifications to the underlying implementation. It employs portal-based ghost rendering to move elements outside the normal document flow, while using hardware-accele
Enables the creation of sortable interfaces for data-heavy applications where users prioritize information through direct manipulation.
v-charts is a Vue charting framework and component library that provides a simplified interface for rendering complex data visualizations. It acts as a wrapper for the ECharts visualization engine, allowing the creation of customizable charts and graphs within Vue applications. The library focuses on simplifying the integration of ECharts by replacing manual configuration with reusable components. It maps simplified data inputs to the required configuration objects and synchronizes the chart lifecycle with the framework to manage instance creation and disposal. The project covers frontend ch
Enables the creation of interactive web charts and graphs to represent trends and statistics visually.
This project is a React admin dashboard boilerplate designed for building backend administrative interfaces. It provides a pre-configured development stack that integrates a Redux state management framework, a role-based access control system, and a standardized Axios HTTP client wrapper. The system includes a mock API development environment that serves fake data through a local server to decouple frontend development from backend availability. It uses Vite for module bundling and provides a component-library based UI for constructing management interfaces. The platform covers a broad range
Includes integrated charting libraries to render complex data sets as interactive visual graphs.
Taiga UI is an Angular UI component library and accessible design system used for building enterprise web interfaces. It provides a comprehensive collection of reusable interface elements and layout tools, functioning as a mobile-first UI kit with responsive components that adapt to different device capabilities. The library distinguishes itself through an integrated data visualization library featuring various chart types and a dedicated form management framework with built-in validation and formatting for specialized data. It also features AI-driven development workflows by integrating comp
Includes tools for creating interactive charts, graphs, and data tables to visualize metrics and trends.
This project is a Java GUI framework used to build cross-platform desktop, mobile, and embedded applications. It centers on a hardware accelerated graphics engine that provides 2D and 3D visualizations and visual effects, complemented by a reactive UI binding system for synchronizing data and interface updates. The framework distinguishes itself through the FXML markup language, which separates the visual structure of an interface from its procedural logic. It also includes a dedicated CSS styling engine that allows for the customization of component appearances using external stylesheets and
Includes a specialized set of components for rendering scientific charts and dashboards to visualize complex data.