mavusi
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- 3,767 total downloads
- last updated 4/16/2026
- Latest version: 2.0.2
PdfSharp for .NET Core (forked by Mavusi) PdfSharpCore is a partial port of PdfSharp.Xamarin for .NET Core Additionally MigraDoc has been ported as well (from version 1.32). Dependency on ImageSharp and... More information -
- 3,117 total downloads
- last updated 8/6/2025
- Latest version: 1.0.81
Json-based localization -
- 2,240 total downloads
- last updated 4/16/2026
- Latest version: 2.1.2
HtmlRendererCore is a partial port of HtmlRenderer for .NET Core. Supports rendering HTML to PDF using PdfSharp on .NET 8, 9, and 10. Includes bundled Liberation Fonts for Docker and cloud environments - no... More information -
- 454 total downloads
- last updated 5/9/2026
- Latest version: 3.1.0
A comprehensive .NET library that extends LINQ to Objects with powerful statistical and data science features. Includes: correlation, covariance, standard deviation, variance, distribution analysis (median,... More information -
- 186 total downloads
- last updated 5/9/2026
- Latest version: 1.0.1
Fintech-focused .NET library for loans, amortization, investments, debt payoff, tax estimation, inflation, scenarios, and date utilities. -
- 165 total downloads
- last updated 5/11/2026
- Latest version: 1.0.0
Core abstractions and data models for the Fluent Pipelines DSL - a type-safe, fluent API for defining CI/CD pipelines across multiple providers (GitHub Actions, Azure DevOps, GitLab CI). -
- 150 total downloads
- last updated 5/6/2026
- Latest version: 1.0.1
Ultra-fast GPU-accelerated data science extensions using 32-bit float precision for maximum performance. This FastMode variant of Mavusi.Linq.DataScience.GpuBound trades 64-bit double precision for 32-bit float... More information -
- Deprecated
- 143 total downloads
- last updated 5/5/2026
- Latest version: 3.0.0
GPU-accelerated data science extensions for .NET using ILGPU. This companion package to Mavusi.Linq.DataScience provides massive performance gains (up to 100x) on large datasets by leveraging GPU parallel... More information -
ConfigGuard
by: mavusi- 99 total downloads
- last updated 4/17/2026
- Latest version: 1.0.0
Strongly-typed configuration validation with startup failure diagnostics, environment comparison, and CLI verification tools. Supports .NET 8.0, 9.0, and 10.0. -
- 99 total downloads
- last updated 4/17/2026
- Latest version: 1.0.0
Command-line tool for ConfigGuard - configuration validation and environment comparison. Supports .NET 8.0, 9.0, and 10.0. -
- 93 total downloads
- last updated 4/24/2026
- Latest version: 1.0.0
Production-grade asynchronous API handler for .NET 8/9/10. Handles HTTP requests asynchronously with background processing, automatic retries, callback delivery, and pluggable storage/queue implementations.... More information -
- 93 total downloads
- last updated 5/11/2026
- Latest version: 1.0.0
A powerful, type-safe fluent API for defining CI/CD pipelines in C#. Write your pipeline configuration once using an intuitive builder pattern and emit to GitHub Actions, Azure DevOps, or GitLab CI YAML.... More information -
- 92 total downloads
- last updated 5/11/2026
- Latest version: 1.0.0
Azure DevOps emitter for Fluent Pipelines. Converts fluent pipeline definitions to Azure Pipelines YAML. Use with Mavusi.FluentPipelines to generate Azure DevOps pipelines from C# code. -
- 89 total downloads
- last updated 5/11/2026
- Latest version: 1.0.0
GitHub Actions emitter for Fluent Pipelines. Converts fluent pipeline definitions to GitHub Actions workflow YAML. Use with Mavusi.FluentPipelines to generate GitHub Actions workflows from C# code. -
- 88 total downloads
- last updated 5/11/2026
- Latest version: 1.0.0
GitLab CI emitter for Fluent Pipelines. Converts fluent pipeline definitions to GitLab CI/CD YAML. Use with Mavusi.FluentPipelines to generate GitLab pipelines from C# code. -
- 87 total downloads
- last updated 5/6/2026
- Latest version: 1.0.0
GPU-accelerated data science extensions for .NET using ILGPU. This companion package to Mavusi.Linq.DataScience provides massive performance gains (up to 100x) on large datasets by leveraging GPU parallel... More information