Open Source C# Frameworks for Linux

.NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write .NET code allowing you to reuse all the knowledge, skills, code, and libraries you already have as a .NET developer. .NET for Apache Spark runs on Windows, Linux, and macOS using .NET Core, or Windows using .NET Framework. It also runs on all major cloud providers including Azure HDInsight Spark, Amazon EMR Spark, AWS & Azure Databricks.

Blazor Table component with sorting, paging and filtering. Provides column reordering features, edit mode, client side, paging and sorting, filtering and much more.

A 3D engine for virtual globes designed to illustrate engine design and rendering techniques described in our upcoming book. OpenGlobe is written in C# and uses OpenGL 3.3 core profile (via OpenTK). OpenGlobe is now also on GitHub: https://github.com/virtualglobebook/OpenGlobe