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237 Repos

Awesome GitHub RepositoriesData Visualization Charts

Libraries for rendering graphical representations of data.

Distinguishing note: None available; minting under data umbrella.

Explore 237 awesome GitHub repositories matching data & databases · Data Visualization Charts. Refine with filters or upvote what's useful.

Awesome Data Visualization Charts GitHub Repositories

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  • awesome-selfhosted/awesome-selfhostedAvatar von awesome-selfhosted

    awesome-selfhosted/awesome-selfhosted

    299,516Auf GitHub ansehen↗

    Dieses Projekt ist ein von der Community kuratiertes Verzeichnis von Open-Source-Software, die für den Einsatz in privaten Serverumgebungen und Home-Labs konzipiert ist. Es dient als umfassende Ressource zur Entdeckung unabhängiger, selbst gehosteter Alternativen zu gängigen Cloud-Diensten und ermöglicht es Nutzern, die volle Datenhoheit und Kontrolle über ihre digitale Infrastruktur zu behalten. Das Verzeichnis ist durch eine hierarchische Taxonomie strukturiert, die eine riesige Sammlung von Anwendungen in logische Kategorien organisiert, von Medienmanagement und Datenanalyse bis hin zu privater Kommunikation und Tools für die Teamproduktivität. Es zeichnet sich durch einen kollaborativen Peer-Review-Prozess aus, bei dem Community-Mitglieder die Qualität und Relevanz jeder Einreichung validieren, um sicherzustellen, dass das Verzeichnis korrekt und zuverlässig bleibt. Das Projekt deckt ein breites Spektrum an Fähigkeiten ab, einschließlich Infrastruktur-Automatisierung, containerbasierter Service-Bereitstellung und deklarativem Konfigurationsmanagement. Diese Tools unterstützen Nutzer bei der Aufrechterhaltung reproduzierbarer Serverumgebungen und der Verwaltung komplexer Service-Abhängigkeiten auf privater Hardware. Das Verzeichnis wird als versionskontrolliertes Repository gepflegt, wodurch sichergestellt wird, dass alle Updates und Community-gesteuerten Änderungen nachverfolgt und transparent sind.

    Connects to live databases or APIs to transform raw information into visual reports and interactive dashboards.

    awesomeawesome-listcloud
    Auf GitHub ansehen↗299,516
  • openbb-finance/openbbterminalAvatar von OpenBB-finance

    OpenBB-finance/OpenBBTerminal

    69,303Auf GitHub ansehen↗

    OpenBBTerminal is a Python financial data platform and command line interface designed for aggregating and analyzing market data from diverse APIs. It serves as a quantitative analysis tool for processing stock, crypto, and derivative datasets to identify market trends and build investment strategies. The project utilizes a pluggable financial API framework with an adapter-based architecture, allowing external financial data providers to be integrated as independent modules. This system standardizes information from public and proprietary sources into a unified layer to support cross-asset an

    Renders complex financial datasets into visual charts and interactive interfaces for market analysis.

    Python
    Auf GitHub ansehen↗69,303
  • brillout/awesome-react-componentsAvatar von brillout

    brillout/awesome-react-components

    47,788Auf GitHub ansehen↗

    This project is a community-maintained open source directory that serves as a comprehensive index of React components and libraries. It functions as a technical knowledge base, mapping common development challenges to vetted third-party solutions to help developers accelerate their frontend workflows and avoid reinventing standard interface elements. The directory distinguishes itself through a decentralized, hyperlink-centric architecture that avoids hosting code locally, instead pointing users directly to external repositories. This content is curated through a collaborative model where com

    Provides components for rendering data visualization charts.

    awesomeawesome-listreact
    Auf GitHub ansehen↗47,788
  • danielgindi/chartsAvatar von danielgindi

    danielgindi/Charts

    28,005Auf GitHub ansehen↗

    Charts is a data visualization framework and charting library for iOS, tvOS, and macOS. It provides a set of graphical components used to render interactive line, bar, pie, and scatter charts to represent complex data sets. The project serves as an implementation of a charting library adapted specifically for the Apple ecosystem. It includes a rendering engine capable of plotting data points directly from database records. The framework covers a broad range of visualization capabilities, including interactive data exploration via zooming and panning gestures, visual style customization for c

    Provides a library for rendering graphical representations of complex data sets on Apple platforms.

    Swift
    Auf GitHub ansehen↗28,005
  • chartsorg/chartsAvatar von ChartsOrg

    ChartsOrg/Charts

    28,000Auf GitHub ansehen↗

    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

    Renders a wide variety of interactive charts including line, bar, pie, scatter, and radar plots.

    Swift
    Auf GitHub ansehen↗28,000
  • ottermind/chat2dbAvatar von OtterMind

    OtterMind/Chat2DB

    25,784Auf GitHub ansehen↗

    Chat2DB is an AI-powered SQL client and multi-database GUI manager designed for managing various relational and NoSQL database systems. It serves as a visual database management tool and a natural language to SQL interface, allowing users to convert plain text descriptions into executable and optimized queries. The platform distinguishes itself through automated business intelligence capabilities, which include the generation of real-time data visualization dashboards and AI-driven data analysis from spreadsheets. To ensure data privacy, it supports secure local AI deployment, enabling large

    Converts plain text descriptions into optimized SQL queries with AI-generated explanations and performance tips.

    Javaaibichatgpt
    Auf GitHub ansehen↗25,784
  • tsenart/vegetaAvatar von tsenart

    tsenart/vegeta

    25,070Auf GitHub ansehen↗

    Vegeta is an HTTP load testing tool and library designed to measure the performance and stability of web services. It functions as a command-line utility, a programmable package for integration into other applications, and a distributed load generator capable of splitting request rates across multiple machines. The tool is distinguished by its constant-rate request scheduler, which dispatches requests at a fixed frequency regardless of target response times. It employs lazy target streaming to maintain low memory usage during large tests and uses a binary-encoded storage format to minimize di

    Creates interactive HTML plots and time series graphs to analyze response time changes over the duration of a test.

    Gobenchmarkinggohttp
    Auf GitHub ansehen↗25,070
  • arendst/tasmotaAvatar von arendst

    arendst/Tasmota

    24,502Auf GitHub ansehen↗

    Tasmota is a universal firmware platform for ESP8266 and ESP32 microcontrollers, designed to provide local control and management of smart home hardware. It functions as an event-driven automation controller that replaces proprietary factory firmware, allowing users to manage relays, sensors, and lighting systems without relying on external cloud services. The system is built on a modular driver architecture that enables dynamic hardware configuration and peripheral support through a web-based management interface. The platform distinguishes itself through a template-driven hardware mapping s

    Displays time-series data in interactive charts with configurable scales and multiple data series.

    Carduinoautomationesp32
    Auf GitHub ansehen↗24,502
  • backtrader/backtraderAvatar von backtrader

    backtrader/backtrader

    22,019Auf GitHub ansehen↗

    Backtrader is a Python backtesting framework and algorithmic trading platform. It provides a toolkit for developing automated trading rules and simulating investment strategies using historical financial time-series data. The system functions as a quantitative analysis tool, combining a simulation engine for testing trading rules with a financial data visualizer that generates price action charts. It allows for the calculation of technical indicators and the evaluation of portfolio performance through risk-adjusted returns. The platform covers live trading integration via brokerage APIs and

    Ships a plotting utility to render price data and trade execution markers on financial charts.

    Python
    Auf GitHub ansehen↗22,019
  • handsontable/handsontableAvatar von handsontable

    handsontable/handsontable

    21,947Auf GitHub ansehen↗

    Handsontable is a JavaScript data grid that provides a spreadsheet-like interface for managing and editing large datasets within web applications. It functions as a virtualized data table that renders only visible cells to maintain performance, paired with a synchronization layer that binds the grid to underlying data structures. The project distinguishes itself through a built-in spreadsheet calculation engine for evaluating mathematical and logical expressions and a dedicated tool for exporting grid content into Excel XLSX files. It ensures interoperability with external spreadsheet softwar

    Displays and scrolls through thousands of rows and columns using virtualization to maintain high browser performance.

    JavaScriptangular-datagridangular-tablecomponent
    Auf GitHub ansehen↗21,947
  • eastworld/wechat-app-mallAvatar von EastWorld

    EastWorld/wechat-app-mall

    21,654Auf GitHub ansehen↗

    wechat-app-mall is an e-commerce solution designed for the WeChat mini-program ecosystem. It provides the necessary tools to build and manage a digital storefront and product catalog within this specific mobile application environment. The project incorporates social commerce marketing features, including the ability to generate shareable posters for product discovery and the integration of live stream shopping to showcase products through real-time video broadcasting. The system also includes capabilities for data visualization through interactive charts and the rendering of formatted rich

    Renders interactive charts and analytical statistics to track store performance and customer trends.

    JavaScript
    Auf GitHub ansehen↗21,654
  • colorlibhq/gentelellaAvatar von ColorlibHQ

    ColorlibHQ/gentelella

    21,373Auf GitHub ansehen↗

    Gentelella is a collection of pre-configured interface templates and a component library designed for building administration panels, data dashboards, and internal management consoles. It provides a Bootstrap 5 based framework that includes accessible web interface templates and PWA-ready dashboard shells. The project features specialized templates for data visualization, utilizing modular chart factories to render line, bar, radar, and heatmap visualizations. It includes a set of ready-to-use interface elements for enterprise prototyping, such as kanban boards, file managers, and interactive

    Features modular chart factories for rendering line, bar, radar, and heatmap visualizations of complex data.

    HTMLadminadmin-dashboardadmin-dashboard-template
    Auf GitHub ansehen↗21,373
  • xuri/excelizeAvatar von xuri

    xuri/excelize

    20,668Auf GitHub ansehen↗

    Excelize is a Go library designed for reading, writing, and modifying Microsoft Excel files in XML-based formats. It functions as a spreadsheet file parser and generator that enables the programmatic extraction and modification of data. The library includes a streaming spreadsheet processor to handle massive datasets incrementally, preventing system memory exhaustion during large-scale read and write operations. It also provides a chart generator to convert worksheet values or external data sources into visual representations within the spreadsheet. Beyond core file processing, the project c

    Embeds charts and visual representations directly into spreadsheet documents.

    Go
    Auf GitHub ansehen↗20,668
  • qax-os/excelizeAvatar von qax-os

    qax-os/excelize

    20,682Auf GitHub ansehen↗

    Excelize is a library for reading and writing spreadsheet files in the Office Open XML format. It provides a comprehensive suite of tools for programmatically creating, modifying, and analyzing workbooks, worksheets, and cell data, ensuring compatibility across various office software suites through structured XML serialization. The library distinguishes itself with a built-in formula calculation engine that evaluates complex mathematical and logical expressions directly against workbook data. It also features a memory-mapped streaming architecture, which allows for the efficient processing o

    Supports embedding graphical elements like charts and pivot tables, as well as applying conditional formatting to spreadsheet data.

    Goagentaianalytics
    Auf GitHub ansehen↗20,682
  • bokeh/bokehAvatar von bokeh

    bokeh/bokeh

    20,403Auf GitHub ansehen↗

    Bokeh is a Python data visualization library and interactive plotting framework used to create high-performance graphics and data dashboards that render in web browsers. It serves as a tool for generating standalone HTML documents, embedded components for digital notebooks, and full-stack web applications powered by a Python backend. The project distinguishes itself through its ability to handle large or streaming datasets while maintaining smooth interactivity. It enables linked brushing across multiple views, allowing data selected in one plot to automatically highlight corresponding data i

    Maintains high performance when rendering large or streaming datasets using optimized web graphics.

    TypeScriptbokehdata-visualisationinteractive-plots
    Auf GitHub ansehen↗20,403
  • mementum/backtraderAvatar von mementum

    mementum/backtrader

    20,462Auf GitHub ansehen↗

    Backtrader is a Python framework designed for the development, backtesting, and live execution of algorithmic trading strategies. It provides a comprehensive environment for quantitative finance, allowing users to simulate trading logic against historical market data or connect directly to brokerage platforms for automated real-time trading. The project distinguishes itself through a unified event-driven architecture that treats backtesting and live trading with the same API. This consistency is supported by a flexible data-feed abstraction layer that normalizes diverse financial sources, ena

    Provides graphical representations of price data and trade execution points to assist in the analysis of strategy behavior.

    Pythonbacktestingmetaclasspython
    Auf GitHub ansehen↗20,462
  • csunny/db-gptAvatar von csunny

    csunny/DB-GPT

    19,006Auf GitHub ansehen↗

    DB-GPT is an AI-driven database management system that uses agentic reasoning to execute data tasks. It converts natural language prompts into executable database queries and combines structured database records with unstructured knowledge bases to provide grounded analysis. The system orchestrates multi-step reasoning chains that integrate database queries, custom scripts, and external tool calls. It allows for the packaging of domain knowledge into reusable analysis skills and executes generated code within sandboxed environments for system safety. The platform covers data orchestration ac

    Converts natural language questions into executable SQL for automated data retrieval and visualization.

    Python
    Auf GitHub ansehen↗19,006
  • meta-llama/llama-cookbookAvatar von meta-llama

    meta-llama/llama-cookbook

    18,375Auf GitHub ansehen↗

    This project is a collection of implementation guides, recipes, and developer resources for building applications with Llama models. It serves as a comprehensive kit for developing autonomous agents, establishing retrieval-augmented generation systems, and executing model fine-tuning. The resource provides specific patterns for multimodal workflows that process text, images, and audio. It includes specialized guidance on adapting pre-trained model weights for targeted tasks and implementing tool-calling orchestration to connect models with external APIs and functions. The codebase covers a b

    Connects models to SQL databases to answer natural language questions about relational data.

    Jupyter Notebookaifinetuninglangchain
    Auf GitHub ansehen↗18,375
  • plotly/plotly.jsAvatar von plotly

    plotly/plotly.js

    18,227Auf GitHub ansehen↗

    Plotly.js is a JavaScript charting library and interactive graphing framework used to create web-based visualizations. It functions as a high-performance data visualization engine that utilizes both SVG for static elements and WebGL for hardware-accelerated rendering of large datasets and complex 3D plots. The library is distinguished by specialized toolkits for financial analysis, such as candlestick and OHLC charts, and geographic mapping tools for rendering choropleth and scatter maps with custom projections. It also supports complex scientific visualizations, including Sankey diagrams, pa

    Utilizes a high-performance WebGL engine for plotting large datasets and complex 3D visualizations in the browser.

    JavaScriptcharting-librarychartsd3
    Auf GitHub ansehen↗18,227
  • activitywatch/activitywatchAvatar von ActivityWatch

    ActivityWatch/activitywatch

    17,912Auf GitHub ansehen↗

    ActivityWatch is an open-source, privacy-focused time tracking platform that automatically records computer usage patterns to provide a comprehensive history of personal digital activity. It functions as a background service that monitors system metrics, application focus, and user input to build a detailed log of how time is allocated across various tasks and projects. The platform distinguishes itself through a local-first architecture that stores all activity data as structured files on the user's machine, ensuring that sensitive usage history remains private and accessible offline. It sup

    Provides interactive time-series visualizations to help users analyze their daily digital activity patterns.

    Pythonactivitywatchafkanalytics
    Auf GitHub ansehen↗17,912
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  3. Data Visualization Charts

Unter-Tags erkunden

  • Automated EncodingsAutomatic determination of visual marks and channels based on data representation best practices. **Distinct from Data Visualization Charts:** Specializes general data visualization charts by focusing on the automation of the encoding process.
  • Bubble Charts2 Sub-TagsVisualizations where data is represented by circles with radii proportional to their values. **Distinct from Data Visualization Charts:** Specific chart type under the broader data visualization category.
  • Candlestick Charts4 Sub-TagsSpecialized financial charts using candlestick spots to represent price movements. **Distinct from Data Visualization Charts:** A specific chart type rather than a general data visualization library.
  • Categorical Comparison Charts1 Sub-TagCharts designed to highlight differences between groups and multi-variable relationships. **Distinct from Data Visualization Charts:** Distinct from general charting: focuses on categorical comparison specifically.
  • Chart Configuration Serialization6 Sub-TagsMechanisms for exporting and importing chart layouts and visual states as portable code. **Distinct from Data Visualization Charts:** Distinct from general chart rendering: focuses on the serialization of state for persistence rather than the rendering process itself.
  • Chart PreservationMechanisms for maintaining existing graphical elements during document modification. **Distinct from Data Visualization Charts:** Distinct from Data Visualization Charts: focuses on the preservation of existing chart metadata during file updates rather than rendering new charts.
  • Chart TemplatesPre-built chart structures for accelerating visualization creation. **Distinct from Data Visualization Charts:** Distinct from Data Visualization Charts: focuses on the template library aspect rather than the core rendering engine.
  • Data ExportExporting raw data series from visualizations into structured formats like CSV or JSON. **Distinct from Data Visualization Charts:** Focuses on the export of the data underlying the chart, not the visual chart export itself.
  • Data Sequence ReversalChanging the visual order of data items or datasets within a visualization. **Distinct from Data Visualization Charts:** Concerns the visual rendering order in a chart, not algorithmic sequence operations.
  • Data Series Linking2 Sub-TagsConnecting a chart to specific cell ranges or values for dynamic updates. **Distinct from Data Visualization Charts:** Focuses on the link between data source and visual series, not the rendering engine itself.
  • Financial Market Visualizers3 Sub-TagsTools for rendering price data and trade execution points on financial charts. **Distinct from Data Visualization Charts:** Distinct from generic data visualization charts: focuses specifically on financial time-series data and trading execution markers.
  • High-Performance Visualizers1 Sub-TagRenders large datasets at high frame rates with support for interactive zooming. **Distinct from Data Visualization Charts:** Distinct from Data Visualization Charts: focuses on performance-optimized rendering for large-scale datasets.
  • JSON Data Chart Renderers3 Sub-TagsChart renderers that fetch and visualize data from remote JSON endpoints via JSONP or Ajax. **Distinct from Data Visualization Charts:** Distinct from Data Visualization Charts: specifically handles remote JSON data fetching and rendering, not general chart rendering.
  • Market Indicator Visualization1 Sub-TagTools for generating graphical representations of indicators and price data. **Distinct from Data Visualization Charts:** Focuses on financial indicator visualization, distinct from general data visualization charts.
  • Natural Language Querying2 Sub-TagsGenerates charts and data queries from natural language descriptions for feedback analysis. **Distinct from Data Visualization Charts:** Distinct from general visualization: focuses on AI-driven natural language to chart generation.
  • Orientation ReversalCapabilities for flipping the directional flow of data within a chart. **Distinct from Data Visualization Charts:** Focuses on the directional flow of a specific chart rather than general rendering libraries.
  • Polar Charts1 Sub-TagGraphical representations where data points are plotted on a circular coordinate system using radius and angle. **Distinct from Data Visualization Charts:** Focuses on the chart type itself rather than the underlying coordinate axes or specific radar polygons.
  • Radar Chart Renderers6 Sub-TagsSpecialized logic for rendering multi-variable data as polygons on a circular grid. **Distinct from Data Visualization Charts:** Specific implementation of a radial chart, whereas Data Visualization Charts is the broad category.
  • Radial Charts1 Sub-TagCharts that use circular representations to show proportions or cyclical patterns. **Distinct from Data Visualization Charts:** Distinct from Data Visualization Charts: specifies the circular geometry used for radial data representations
  • Ring Charts1 Sub-TagCircular ring visualizations used to represent ratios or distributions of numerical data. **Distinct from Data Visualization Charts:** Specifically renders a ring/donut shape rather than a solid pie or a general data chart.
  • Runtime ConfigurationDynamic adjustment of chart settings without requiring re-initialization. **Distinct from Data Visualization Charts:** Distinct from Data Visualization Charts: focuses on the runtime API for configuration updates rather than the rendering engine.
  • Scatter Charts3 Sub-TagsTwo-dimensional plots used to visualize correlations between variables. **Distinct from Data Visualization Charts:** A specific chart type for correlation, distinct from general visualization libraries.
  • Series & Axis ManagementTools for programmatically updating chart axis categories and data series values. **Distinct from Data Visualization Charts:** Focuses on the operational update of chart data rather than the general rendering of the chart.
  • Spreadsheet Visualizations1 Sub-TagTools for embedding charts, pivot tables, and conditional formatting within spreadsheet documents. **Distinct from Data Visualization Charts:** Distinct from general data visualization libraries: specifically targets the embedding of visual elements into spreadsheet file formats.
  • Temporal Line ChartsLine charts specifically optimized for accurate temporal display across varying month lengths. **Distinct from Data Visualization Charts:** Specifically handles date-based axes with irregular intervals (days per month), distinct from general line charts.
  • Time-Series Chart Renderers4 Sub-TagsPresenting query results as line or scatter charts that become more informative as data volume grows. **Distinct from Data Visualization Charts:** Distinct from Data Visualization Charts: focuses on rendering time-series data as charts, not general chart rendering.
  • Time-Series Visualizers10 Sub-TagsTools for rendering interactive charts of time-indexed data. **Distinct from Data Visualization Charts:** Distinct from data visualization charts: focuses on time-series specific features like multiple series and configurable scales.