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Open-source and enterprise .NET libraries

Production-grade packages built and maintained by Royce Corporation — available on NuGet and distributed under open or commercial licences. Each library solves a specific, recurring problem in .NET enterprise development.

TrustIdentity.Server

NuGet · v1.0.2

Complete Enterprise IAM Server supporting OAuth 2.0, OIDC, SAML and WS-Fed. Drop a fully standards-compliant identity provider into your .NET solution without standing up a separate service.

OAuth 2.0 OIDC SAML WS-Fed IAM
View on NuGet

Pdf.ML

NuGet · v8.1.0

A robust, high-performance HTML-to-PDF rendering library for .NET with AI/ML-powered optimisations. Produces pixel-perfect documents from any HTML source with minimal configuration.

HTML to PDF AI/ML .NET 8 High Performance
View on NuGet

AIClient

NuGet · v1.0.1

Unified AI/LLM client for .NET with support for OpenAI (GPT-4), Anthropic (Claude), Google Gemini and Ollama. Ships 39 enterprise features: circuit breakers, rate limiting, caching, cost tracking, health checks, RAG and fine-tuning support.

OpenAI Claude Gemini Ollama RAG LLM
View on NuGet

EPExcel.ML

NuGet · v1.0.0

MIT-licensed Excel library for .NET with Microsoft.ML integration. Full EPExcel 8.5 feature parity plus AI/ML forecasting, anomaly detection, clustering and AutoML. Supports .NET 7 and .NET 8.

Excel Microsoft.ML Forecasting AutoML MIT
View on NuGet

AI.HtmlToPdf

NuGet · v9.1.0

High-performance HTML-to-PDF rendering for .NET, enhanced with AI/ML optimisations for layout fidelity and compression. Ideal for report generation, invoice rendering and document pipelines at scale.

HTML to PDF AI/ML .NET Reports
View on NuGet

RoyceLark.HtmlToPdfCore

NuGet · v10.0.0

The flagship HTML-to-PDF core engine from RoyceLark — robust and high-performance rendering for .NET with AI/ML-powered optimisations. The foundation package underpinning the broader RoyceLark PDF ecosystem.

HTML to PDF Core Engine .NET AI/ML
View on NuGet

Need a custom integration?

Our engineering team can integrate any of these libraries into your existing codebase, configure them to your compliance requirements, or build bespoke extensions on top of them.