RikkieG 

A .NET 10 / .NET 8 charting library inspired by matplotlib: fluent API, DI-friendly, server-rendered SVG / PNG / PDF / animated GIF. 83 series types across 14 categories, 148 colormaps, 30 themes, LaTeX-style... More information

ASP.NET Core endpoint helpers for MatPlotLibNet. Serves chart JSON specs for Angular and other SPA frameworks.

PNG and PDF export for MatPlotLibNet charts using SkiaSharp.

Interactive display for MatPlotLibNet. Show charts in a browser popup with live SignalR updates.

GraphQL integration for MatPlotLibNet using HotChocolate. Queries and subscriptions for real-time chart updates.

Blazor components for MatPlotLibNet charting library. Renders charts as inline SVG.

MAUI controls for MatPlotLibNet charting library. Renders charts via Microsoft.Maui.Graphics.

Polyglot Notebooks / Jupyter support for MatPlotLibNet. Renders Figure inline as SVG in notebook cells.

Microsoft.Data.Analysis.DataFrame extension methods for MatPlotLibNet — plot directly from typed DataFrames (Line, Scatter, Hist with hue grouping), compute 51 financial / signal-processing indicators (SMA,... More information

Uno Platform chart control for MatPlotLibNet. Renders charts natively via SkiaSharp with optional pan/zoom/reset interaction.

Avalonia 12 chart control for MatPlotLibNet. Renders charts natively via SkiaSharp with optional pan/zoom/reset/brush-select interaction.

WPF chart control for MatPlotLibNet. Renders charts natively via SkiaSharp with optional pan/zoom/3D rotation interaction.

Geographic projections and map rendering for MatPlotLibNet. Includes Natural Earth 110m coastlines and country borders, and 13 map projections (PlateCarree, Mercator, TransverseMercator, Robinson, Orthographic,... More information

Pipeline-driven design for .NET: declare the whole course from raw data to a validated model once, as one artefact, and replay it. The chain is the enforcement — anything that learns from the data is only... More information

The best of three worlds: TensorFlow's way of describing a network, PyTorch's way of running it, and ML.NET's way of learning from a table. Deep learning in C#: the layer over the engines that already exist.... More information

Financial and signal-processing indicators as pipeline features, borrowed from MatPlotLibNet rather than written again: moving averages, RSI, ATR, ADX, MACD, Bollinger bands, stochastic, VWAP and more, each... More information

MCP (Model Context Protocol) stdio server for MatPlotLibNet. An AI agent renders the library's chart types to PNG, SVG or PDF from a JSON spec, reads the chart's data back as a markdown table, lists the chart... More information

Reads a DeepSharp pipeline's rows out of Microsoft's DataFrame, Microsoft.Data.Analysis, or out of anything that can fill one: a comma-separated file, a database query, rows somebody already had. One reader for... More information

Where a DeepSharp network meets a DeepSharp pipeline: a network learns from the rows the pipeline hands over from its training split, every feature on one scale, is judged by its validation rows and never sees... More information

A DeepSharp pipeline written as a notebook in Verso, one block per step. The first block reads a comma-separated file, a Parquet file, a sheet of an Excel workbook or a JSON file, and the package brings those... More information