.NET for Apache Spark vs Paperspace: What are the differences?
Developers describe .NET for Apache Spark as "Makes Apache Spark™ Easily Accessible to .NET Developers". 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. On the other hand, Paperspace is detailed as "The way to access and manage limitless computing power in the cloud". It is a high-performance cloud computing and ML development platform for building, training and deploying machine learning models. Tens of thousands of individuals, startups and enterprises use it to iterate faster and collaborate on intelligent, real-time prediction engines.
.NET for Apache Spark and Paperspace can be primarily classified as "Machine Learning" tools.
.NET for Apache Spark is an open source tool with 1.19K GitHub stars and 133 GitHub forks. Here's a link to .NET for Apache Spark's open source repository on GitHub.