v0.2.0: Unified Chart API

Highlights

This release introduces a unified Chart API that automatically selects the optimal rendering backend based on your data.

New Features

• Auto-backend selection: Pass any data size and the library picks the right renderer

  • <100k rows → Lightweight Charts (full interactivity)
  • >100k rows → WebGL (GPU acceleration)
  • List of DataFrames → Multi-panel layout
  • Dict with paths → Canvas forecast visualization

• Column auto-detection: No more specifying column names manually

  # These all work automatically:
  # time, timestamp, date, datetime, t
  # open, o, Open, OPEN
  # high, h, High, LOW, close, price, value
  # volume, vol, v

• Quick-plot functions: One-liners for common charts

  wrc.candlestick(df).show()
  wrc.line(df).show()
  wrc.area(df).show()
  wrc.dashboard([df1, df2]).show()

• Theme shortcuts: Simpler theme specification

  wrc.Chart(df, theme="dark")  # String works
  wrc.Chart(df, theme=wrc.DARK)  # Constant works too

• Enhanced drawing tools: New tools and serialization

  • New: VerticalLine, Ray, Arrow, Text, PriceRange, FibonacciExtension
  • JSON export/import for drawings
  • BaseDrawing ABC for custom tools

Testing

• 103 new tests covering unified API, backend selection, schema detection, and drawing tools

Backward Compatibility

• WebGLChart still works but shows deprecation warning
• Use Chart(backend="webgl") for explicit WebGL selection

v0.1.4 - Packaging Fix

What's New

Bug Fixes

• Fixed packaging error by removing deprecated License classifier (now using SPDX license expression)

Full Changelog

v0.1.3...v0.1.4

v0.1.3 - Forecast, Multi-Panel, Live Streaming & Financial Helpers

What's New in v0.1.3

This release adds four major feature modules to wrchart, significantly expanding its capabilities for financial data visualization.

Forecast Visualization

• ForecastChart: Visualize probabilistic forecasts and Monte Carlo simulations
• Path Density Coloring: Color paths by density using customizable color scales (VIRIDIS, PLASMA, INFERNO, HOT)
• Utilities: compute_path_density and compute_path_colors_by_density for custom visualizations

Multi-Panel Layouts

• MultiPanelChart: Create synchronized multi-panel dashboards
• Panel Types: LinePanel, BarPanel, HeatmapPanel, GaugePanel, AreaPanel
• Flexible layout configuration with adjustable panel heights

Live Streaming (requires websockets)

• LiveChart: Real-time data visualization with WebSocket updates
• LiveTable: Streaming data tables
• LiveDashboard: Combine multiple live components
• LiveServer: WebSocket server for pushing updates

Financial Helpers

• returns_distribution: Plot return distributions with statistics
• price_with_indicator: Overlay indicators on price charts
• indicator_panels: Create indicator subplots
• equity_curve: Visualize portfolio equity curves
• drawdown_chart: Plot drawdown analysis
• rolling_sharpe: Rolling Sharpe ratio visualization

Other Improvements

• Enhanced Chart and Series classes
• Added quickstart example notebook
• Removed tracked pycache files
• Updated license format for modern packaging compatibility

Full Changelog

v0.1.1...v0.1.3

v0.1.1

Patch release with GitHub Actions workflow for automated PyPI publishing.

v0.1.0 - Initial Release

wrchart v0.1.0

Interactive financial charting for Python with Polars support and TradingView-style aesthetics.

Features

• Polars-native - Works directly with Polars DataFrames
• Interactive - TradingView-style pan, zoom, and crosshair
• WebGL GPU-accelerated - Render millions of points at 60fps
• Non-standard charts - Renko, Kagi, Point & Figure, Heikin-Ashi, Line Break, Range Bars
• LTTB decimation - High-frequency data visualization
• Jupyter-ready - Renders inline in notebooks

Installation

pip install wrchart

Quick Start

import wrchart as wrc
import polars as pl

chart = wrc.Chart(width=800, height=600)
chart.add_candlestick(df)
chart.show()

View Live Demo