8 个仓库
Displaying interactive charts and tables with capabilities to import, export, and download data in various formats.
Distinct from Data Import and Export: Distinct from Data Import and Export: focuses on the visualization aspect with import/export as supporting features, not just data migration.
Explore 8 awesome GitHub repositories matching data & databases · Interactive Data Visualizations. Refine with filters or upvote what's useful.
p5.js is a JavaScript creative coding library and generative art framework. It serves as a web-based graphics engine and a high-level HTML5 Canvas wrapper designed to produce algorithmic imagery and responsive audio-visual experiences. The project provides a simplified sketching API for rendering 2D and 3D graphics directly in a web browser. It enables the creation of interactive animations, generative art, and digital experiences that respond to user input. The library covers a range of applications including interactive data visualization, browser-based multimedia art, and educational prog
Provides the primitives necessary to turn complex data sets into interactive visual graphics and real-time animations.
Vue-typescript-admin-template is a TypeScript-based admin panel starter built with Vue CLI 3, providing a complete foundation for building enterprise back-office interfaces. It enforces type safety across Vue components using TypeScript, reducing runtime errors and improving code maintainability, while offering a dynamic route permission system that controls sidebar navigation and page access by mapping user roles to route permissions at runtime. The template includes a mock API service layer that simulates backend responses for frontend development without a live server, along with internati
Displays interactive charts and tables with capabilities to import, export, and download data in various formats.
Orange3 is a visual data mining platform that provides an interactive canvas for building data analysis workflows without writing code. At its core, it offers a widget-based visual programming environment where users connect configurable components to perform data preprocessing, machine learning model training, statistical evaluation, and interactive visualization. The platform is built on NumPy-backed data tables with domain descriptors that define variable names, types, and roles, and includes a lazy SQL query proxy for working with database tables without loading all data into memory. The
Provides an interactive canvas for constructing and exploring data visualizations through connected components.
tui.chart 是一款统计图表引擎和数据可视化库,旨在为复杂的数值数据集渲染交互式图表和图形。它作为一个响应式图表框架,能够生成各种统计表示,包括折线图、柱状图、散点图、气泡图和树状图。 该库的特色在于一个交互式可视化系统,支持跨多个图表的同步工具提示、基于范围的缩放以及数据系列选择。它包括一个布局引擎,可根据查看容器的大小自动调整图表尺寸和动画。 该系统涵盖了广泛的渲染功能,包括通过树状图进行的层级数据映射、颜色编码的热力图,以及处理实时数据更新以进行实时监控的能力。其他实用领域包括数据导出功能和修改活动可视化外观的动态配置更新。
A visualization system featuring zooming, data series selection, and synchronized tooltips for complex numerical datasets.
Danfo.js 是一个 JavaScript 数据分析和预处理库,提供高性能的标签化数据结构。它实现了数据帧(DataFrames)和序列(Series),以支持复杂的数据分析、统计计算和结构化表格数据的操作。 该项目作为一个机器学习预处理库,提供用于分类标签编码、独热编码(One-hot encoding)以及数值特征缩放和标准化的实用程序。它特别促进了将标签化数据结构转换为张量(Tensors)以进行模型训练和评估的过程。 该库涵盖了广泛的能力,包括描述性统计、合并和连接等关系操作以及时间序列处理。它包括用于数据清洗、过滤和分组的工具,以及用于直接从数据帧生成交互式图表和绘图的视觉化界面。 该系统支持通过 CSV、JSON 和 Excel 格式导入和导出数据。
Implements interactive line and box plots allowing users to visually explore data frames and series.
Briefer is an interactive data notebook platform and business intelligence dashboard tool used for collaborative data analysis and reporting. It provides a containerized environment for building reports that combine SQL, Python, and Markdown with native visualizations. The platform features an integrated code assistant that uses large language models to generate SQL and Python snippets from natural language prompts. It is designed as a Kubernetes data application, deploying via Helm charts to manage isolated compute environments and ensure separate resources per page through pod-based isolati
Allows building dynamic dashboards and notebooks that combine SQL, Python, and interactive inputs for data visualization.
bqplot is an interactive data visualization library for Jupyter notebooks. It implements a grammar of graphics model, allowing users to build complex 2D charts by combining marks, scales, and axes. The library distinguishes itself with specialized toolkits for financial charting, such as OHLC candlesticks and time-series analysis, and geographic data visualization, including choropleths and custom map projections for TopoJSON and GeoJSON data. It enables deep interaction through tools like lasso selection, rectangular brushing, and the ability to manually manipulate plot points or line data.
Provides an interactive framework for rendering 2D charts and tables within Jupyter notebooks.
This library provides a set of tools for building dynamic data visualizations within React applications. It functions as a declarative framework that allows developers to define complex graphical representations through configuration settings rather than manual manipulation of the document object model. The library specializes in rendering interactive Cartesian charts, including line, bar, bubble, and area plots. It distinguishes itself by utilizing a coordinate-system-based mapping approach that translates raw data into pixel positions, combined with a component-based architecture that enabl
Enables the creation of dynamic and responsive charts for visual data exploration in web applications.