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.NET for Apache Spark

Makes Apache Spark™ Easily Accessible to .NET Developers
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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 1.7K GitHub stars and 256 GitHub forks. Here’s a link to .NET for Apache Spark's open source repository on GitHub

Who uses .NET for Apache Spark?

Companies

Developers
29 developers on StackShare have stated that they use .NET for Apache Spark.

.NET for Apache Spark Integrations

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 7 tools that integrate with .NET for Apache Spark.

.NET for Apache Spark Alternatives & Comparisons

What are some alternatives to .NET for Apache Spark?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
CUDA
A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
See all alternatives

.NET for Apache Spark's Followers
43 developers follow .NET for Apache Spark to keep up with related blogs and decisions.