Makes Apache Spark™ Easily Accessible to .NET Developers

What is .NET for Apache Spark?

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 a tool in the Machine Learning Tools category of a tech stack.

.NET for Apache Spark is an open source tool with 1.03K Github Stars and 88 Github Forks. Here’s a link to .NET for Apache Spark's open source repository on Github

.NET for Apache Spark integrates with

Ubuntu, C#, .NET, Apache Spark, and F# are some of the popular tools that integrate with .NET for Apache Spark. Here's a list of all 5 tools that integrate with .NET for Apache Spark.

Why people like .NET for Apache Spark

Here’s a list of reasons why companies and developers use .NET for Apache Spark.



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.NET for Apache Spark's alternatives

  • TensorFlow - Open Source Software Library for Machine Intelligence
  • scikit-learn - Easy-to-use and general-purpose machine learning in Python
  • Keras - Deep Learning library for Theano and TensorFlow
  • PyTorch - A deep learning framework that puts Python first
  • ML Kit - Machine learning for mobile developers (by Google)

See all alternatives to .NET for Apache Spark


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