Chartexa Community

Open-source charting engine for .NET and Python — by KEDevO

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What is Chartexa?

Chartexa Community is a rendering-backend-agnostic charting engine that cleanly separates data, logic, commands, rendering, and interaction.

Built from scratch in C#/.NET 10, it is designed for high-performance visualization with support for multiple rendering backends.

Key Capabilities

• High-performance rendering pipeline
• Pluggable renderers (WPF, Skia, Web/JSON export)
• .NET and Python support
• Modular architecture
• Interaction tools (zoom, pan, cursor, tooltips)

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Installation

.NET (NuGet)

# Core engine
dotnet add package Chartexa.Core

# Renderers (choose as needed)
dotnet add package Chartexa.Rendering.Wpf
dotnet add package Chartexa.Rendering.Skia
dotnet add package Chartexa.Rendering.Web

# Optional modules
dotnet add package Chartexa.Data
dotnet add package Chartexa.DataSources
dotnet add package Chartexa.Layout
dotnet add package Chartexa.Playback
dotnet add package Chartexa.Modifiers
dotnet add package Chartexa.Theming

Python

pip install chartexa

Requires the .NET 10 Runtime to be installed.

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Quick Start

.NET / WPF

<Window xmlns:chartexa="clr-namespace:Chartexa.Rendering.Wpf.Controls;assembly=Chartexa.Rendering.Wpf">
    <chartexa:ChartSurface x:Name="Chart"/>
</Window>

using Chartexa.Core.Axes;
using Chartexa.Data.Series;

Chart.XAxes.Add(new NumericAxis { Id = "X" });
Chart.YAxes.Add(new NumericAxis { Id = "Y" });

var series = new XYDataSeries();
series.Append(new[] { 1.0, 2.0, 3.0, 4.0 }, new[] { 10.0, 20.0, 15.0, 30.0 });

Chart.Series.Add(new FastLineRenderableSeries { DataSeries = series });
Chart.InvalidateChart();

Python

import chartexa as cx

# One-liner convenience functions
cx.line([10, 20, 15, 30, 25]).save("chart.png")

# Fluent API with multiple series
(cx.Chart(800, 600)
    .line([1, 2, 3, 4], [10, 20, 15, 30], stroke="#4FC3F7", label="Revenue")
    .scatter([1, 2, 3, 4], [12, 18, 17, 28], fill="red", label="Targets")
    .save("multi_series.png"))

# Financial charts from Pandas DataFrames
import pandas as pd
df = pd.read_csv("stock_data.csv")
cx.candlestick(df).save("candlestick.png")

# Multi-panel dashboards
fig, axes = cx.subplots(2, 2)
axes[0, 0].line([1, 2, 3], [10, 20, 15])
axes[0, 1].scatter([1, 2, 3], [30, 10, 25])
fig.save("dashboard.png")

The Python package provides the core charting API, NumPy/Pandas integration, Jupyter notebook support, and image export. See the PyPI page for full documentation.

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Architecture

Chartexa uses a clean, layered architecture:

User Code → ChartSurface → Axes + Series
         → RenderPipeline → RenderCommand[]
         → Renderer (WPF / Skia / Web)

Full architecture documentation is available in the repository (see ARCHITECTURE.md).

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Available Packages

Package	Description	Platform
Chartexa.Core	Core engine primitives	Cross-platform
Chartexa.Data	Data series and processing	Cross-platform
Chartexa.DataSources	Data source abstraction layer	Cross-platform
Chartexa.Layout	Dashboard layout system	Cross-platform
Chartexa.Rendering.Wpf	WPF renderer + controls	Windows (WPF)
Chartexa.Rendering.Skia	SkiaSharp cross-platform renderer	Cross-platform
Chartexa.Rendering.Web	WebAssembly / JSON export	Cross-platform
Chartexa.Modifiers	Interaction modifiers	Windows (WPF)
Chartexa.Theming	Theme system	Cross-platform
Chartexa.Playback	Playback and timeline utilities	Cross-platform
Chartexa.Python	Python interop bridge	Cross-platform

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Building from Source

Prerequisites

• .NET 10 SDK
• Windows (required for WPF and DirectX renderer development)

Commands

dotnet build
dotnet test

Run the WPF demo:

dotnet run --project examples/WpfDemo

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Release and Publishing

Chartexa is structured for dual distribution:

1. NuGet packages for .NET consumers
2. PyPI package for Python consumers

For maintainers, release workflow and publishing commands are documented in docs/PUBLISHING.md.

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License

MIT — see LICENSE for details.

Chartexa Community is and will remain free and open-source under the MIT license.

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Status

This repository is the Community edition.

Commercial tiers are intentionally hidden for now until those offerings are production-ready.

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