Projects sharing features with Lightweight Charts Python

ApexCharts is a comprehensive JavaScript charting library designed for building interactive, responsive, and data-driven visualizations within web applications. It functions as a versatile data visualization framework that supports a wide range of chart types, including categorical, statistical, and financial plots, enabling developers to construct complex dashboards and real-time monitoring interfaces. The library distinguishes itself through a deep commitment to accessibility and high-performance interactivity. It provides built-in support for keyboard navigation, screen readers, and high-c

mplfinance is a financial time-series plotter and market data visualization framework built on Matplotlib. It is designed to render market data frames into specialized charts, including candlesticks, OHLC bars, Renko bricks, and point-and-figure columns. The library distinguishes itself through a dedicated market data framework that manages trading calendars and non-trading periods, ensuring accurate temporal spacing by collapsing gaps during holidays. It also provides a system for technical analysis charting, enabling the overlay of moving averages, volume bars, and other technical indicator

KLineChart is a high-performance financial charting library and data visualization engine. It uses native browser canvas APIs to render interactive candlestick charts and time-series financial data for web and mobile applications. The library is built as a plugin-based framework, allowing for the integration of custom calculation logic and rendering routines. This modular architecture enables the addition of technical analysis visualization tools and custom indicators to financial dashboards. The system handles real-time market data updates and computes technical indicators to visualize mark

This project is an automated trading and agentic workflow platform designed to orchestrate complex financial tasks through state-based graphs. It provides a comprehensive framework for building, deploying, and managing autonomous agents that execute multi-step analytical processes, monitor real-time market conditions, and perform high-speed trade execution. The platform distinguishes itself through a robust agentic plugin ecosystem that integrates directly with popular AI-powered development environments and command-line interfaces. It features a specialized financial analysis engine capable

Lightweight Charts is a specialized library for rendering interactive time-series financial data visualizations within web applications. It provides a high-performance, responsive component designed to display historical and live market trends through various graphical formats, including candlesticks, histograms, and line series. The library distinguishes itself through a canvas-based rendering engine that decouples visual representation from raw data, enabling efficient updates and real-time monitoring of large datasets. It includes built-in support for accessibility, ensuring that interacti

VectorBT is a vectorized trading strategy backtesting framework that simulates thousands of strategy configurations in a single pass over historical price data. It operates as a parameter optimization engine, a portfolio performance analyzer, a technical indicator calculator, and a financial data fetcher, all built around a DataFrame-centric data model that uses NumPy broadcasting for signal alignment and compiled code acceleration for performance. The framework distinguishes itself through its ability to run large-scale parameter sweeps by constructing every combination of strategy parameter

python-binance is a Python client library that provides programmatic access to the Binance cryptocurrency exchange through both REST and WebSocket APIs. It serves as a comprehensive toolkit for automated trading, account management, and market data retrieval, enabling developers to build trading bots, portfolio management tools, and data analysis applications that interact directly with the exchange. The library distinguishes itself through a dual-client architecture that separates synchronous REST calls from persistent WebSocket streams, allowing concurrent execution without blocking. It inc

QuantMuse is an algorithmic trading platform and quantitative trading framework that integrates large language models with mathematical analysis to automate market insights and trading strategies. It functions as a system for building, backtesting, and executing strategies using both historical and real-time market data. The framework is distinguished by its use of large language models for financial analysis and sentiment extraction from news and social media. It utilizes autonomous agents with chain-of-thought reasoning to generate market intelligence and strategic reports, while employing

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.

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

This project is a high-performance C++ trading engine designed for automated cryptocurrency market making and high-frequency trading. It functions as a liquidity provision tool that executes rapid order adjustments and quote placements to capture the bid-ask spread. The system utilizes a fair-value pricing model to estimate target asset prices based on real-time exchange data. It features a self-hosted trading dashboard that provides a web interface for monitoring portfolio holdings, visualizing market metrics, and manually controlling automated trading instances. The software includes capab

This project is an automated cryptocurrency trading platform and server-side framework designed for executing trades and managing digital asset portfolios. It provides a unified environment for running algorithmic strategies across multiple exchanges, allowing for the automated placement of buy and sell orders without manual intervention. The system distinguishes itself through a modular plugin architecture that separates trading logic from core execution, enabling users to customize or swap algorithms as needed. It utilizes an event-driven execution loop that processes real-time market data

tui.chart is a JavaScript data visualization library and multi-type charting engine used to render interactive statistical charts. It functions as a responsive charting framework and real-time data visualizer, utilizing HTML5 Canvas for high-performance rendering of diverse datasets. The library provides a wide array of visual formats, including linear, circular, grid-based, hierarchical, and statistical chart types. This covers everything from standard bar, line, and pie charts to more specialized visualizations such as radar charts, treemaps, bubble charts, and box plots. The engine includ

Flot is an interactive charting library for jQuery that renders line, bar, pie, and time-series plots with zooming and panning. It provides interactive plots for engineering and scientific data with customizable axes, scales, and series styles, and supports real-time data updates. The library is built as a jQuery plugin with a canvas-based rendering pipeline and a plugin extension system that allows third-party code to add new chart types, interactions, and data transformations. The library distinguishes itself through a broad range of specialized chart types, including candlestick, bubble, r

vue-echarts is a data visualization library and a reactive wrapper for Apache ECharts, designed to integrate complex charts and graphics into Vue.js applications using a declarative, component-based approach. It functions as an interface that synchronizes charting engine instances with reactive state. The project provides a declarative graphics interface for building custom chart overlays, shapes, and text elements using a component-based slot architecture. It distinguishes itself by allowing the injection of custom components into chart elements, such as tooltips, via scoped slots rather tha

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

Angular-chart.js is a frontend charting library that provides a set of reusable directives for integrating the Chart.js visualization engine into AngularJS applications. It functions as a wrapper that encapsulates complex rendering logic within declarative components, enabling the creation of interactive and responsive graphical data representations. The library distinguishes itself by providing reactive data synchronization, which automatically triggers canvas re-renders whenever underlying data or configuration models change. It also utilizes a provider-based configuration system, allowing

This project is a client-side data visualization framework and SVG charting library used to render responsive, interactive charts in a web browser. It functions as a lightweight utility for generating scalable vector graphics and data annotations without external dependencies. The library enables the creation of custom SVG charts with adjustable colors and animations to meet specific design requirements. It supports dynamic data updates and the addition of markers, regions, and tooltips to provide context to specific data points. The system covers broad capability areas including responsive

Vizro is a low-code Python framework for building production-ready data visualization applications. It functions as a UI orchestrator that allows users to define multi-page analytical dashboards through structured configurations in Python, YAML, or JSON, reducing the need for extensive frontend engineering. The project distinguishes itself through generative AI integration, utilizing a model context protocol server to translate natural language descriptions into validated dashboard configurations, charts, and layouts. It also features a decoupled data cataloging system that separates data sou

Britecharts is an SVG data visualization toolkit and D3.js charting library. It functions as a composable visualization framework and interactive charting interface used to render data-driven graphics. The library provides a variety of chart types, including line, bar, scatter, donut, sparkline, step, and bullet charts, as well as stacked area and grouped bar charts. It supports interactive elements such as brush interfaces for zooming into date ranges and informational tooltips for data overlays. The framework includes capabilities for visual configuration, such as axis scaling, color schem

ChartGPU is a high-performance visualization library designed to render large-scale datasets and real-time data streams using hardware acceleration. It functions as a component-based tool that integrates into declarative user interfaces, allowing developers to build responsive, themeable charts that maintain smooth interaction even when processing massive amounts of information. The library distinguishes itself through a specialized rendering engine that employs screen-space binning and zoom-aware data resampling to manage dense datasets. It provides advanced interactive capabilities, includi

This project is a comprehensive educational curriculum designed to teach Python programming through the lens of data science and financial analysis. It provides a structured guide for learning how to process complex numerical information, build data models, and perform scientific computing tasks using standard industry libraries. The materials focus on practical applications, enabling users to develop skills in financial data analysis and interactive exploration. By working through these resources, learners gain experience in executing high-performance mathematical operations, transforming ra

uPlot is a high-performance canvas time series charting library designed to render millions of data points with high frame rates. It functions as a high-frequency data visualizer and a real-time data stream plotter, utilizing the HTML5 Canvas API to maintain responsiveness when plotting large temporal datasets. The project distinguishes itself as a plugin-based visualization framework that allows for custom renderers to create specialized visuals such as heatmaps and box-and-whisker plots. It also serves as an interactive financial charting tool, specifically supporting OHLC charts, bars, and

bqplot is an interactive data visualization library for IPython and Jupyter notebooks that utilizes a grammar of graphics. It functions as a tool for creating 2D charts and maps with real-time updates and bidirectional communication between the kernel and frontend. The library is distinguished by its ability to act as a geographic data visualization tool, rendering choropleth maps and spatial data via GeoJSON and custom projections. It also serves as a financial charting tool for producing OHLC and candle bar charts, and as an interactive dashboard framework for combining plotting widgets wit

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

Cointop is a cryptocurrency terminal user interface designed for monitoring real-time market statistics, prices, and asset trends. It serves as a market dashboard and portfolio tracker, enabling the management of personal asset holdings and the calculation of profit and loss within a command line environment. The project distinguishes itself with a server capability that allows the interface to be hosted and accessed remotely via secure shell sessions. It also includes a notification system that triggers desktop alerts when specific assets reach predefined price thresholds. The application p