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react-stockcharts is a financial charting library built with React and D3 for visualizing market price data. It provides a system for rendering stock charts and candlestick visualizations to represent market movement.
The main features of rrag/react-stockcharts are: Candlestick Charts, Price Action Visualizers, Indicator Pipelines, Financial Market Visualizers, SVG Chart Renderers, Financial Charting, Scale-Based Coordinate Mappings, Technical Analysis.
Projects with overlapping indexed features include: naver/billboard.js — billboard.js is a JavaScript charting library built on D3.js that renders interactive data visualizations from a… matplotlib/mplfinance — mplfinance is a financial time-series plotter and market data visualization framework built on Matplotlib. It is… louisnw01/lightweight-charts-python — This project is a Python wrapper for the Lightweight Charts library, designed to render interactive, browser-based… mementum/backtrader — Backtrader is a Python framework designed for the development, backtesting, and live execution of algorithmic trading… klinecharts/klinechart — KLineChart is a high-performance financial charting library and data visualization engine. It uses native browser… bloomberg/bqplot — bqplot is an interactive data visualization library for Jupyter notebooks. It implements a grammar of graphics model,…
billboard.js is a JavaScript charting library built on D3.js that renders interactive data visualizations from a single declarative configuration object. It supports a wide range of chart types including bar, line, pie, scatter, area, spline, step, candlestick, funnel, gauge, heatmap, radar, polar, treemap, bubble, donut, and sparkline charts, and can overlay multiple chart types within a single visualization. The library offers an opt-in Canvas rendering mode for improved performance with large datasets and high-density axis displays, alongside its standard SVG-based rendering. The library d
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
This project is a Python wrapper for the Lightweight Charts library, designed to render interactive, browser-based financial visualizations. It serves as a framework for building custom financial dashboards and interfaces that integrate live market feeds and historical data series. The library enables the construction of complex layouts by combining multi-pane charts, watchlists, and order entry tables into a single unified workspace. It supports real-time market monitoring by streaming live tick or bar data directly into active visualizations, allowing for incremental updates without requiri
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