3 ms·

Just off the top of my head, there are .NET copies of: - Akka https://github.com/akka/akka https://github.com/akka/akka - Lucene https://github.com/apache/luce

Just off the top of my head, there are .NET copies of: - Akka https://github.com/akka/akka https://github.com/akka/akka - Lucene https://github.com/apache/lucene-solr https://github.com/apache/lucene-solr - Aeron https://github.com/real-logic/aeron https://github.com/real-logic/aeron - Retrofit https://github.com/square/retrofit https://github.com/square/retrofit Not to mention projects like Apache Spark, Cassandra, Elasticsearch, Druid - Java projects. Many projects (Foundation DB, Scylla DB, I could find more) will have in-house support for Java and not .NET. The .NET equivalents to these libraries tend to be playing catch up. Xamarin Android will always be playing catch-up to Android's Java/Kotlin APIs for Android. Big machine learning projects like PyTorch and TensorFlow tend to give first-class support of some fashion to a Java API (mostly due to Android). Is there a .NET equivalent to Deeplearning4j? Hadoop? Hive? Kakfa? In Java there is a proliferation of web projects: Spring, Vert.x, Quarkus, Micronaut, Play 2, Spark Java; Netty, Jetty, Apache. In .NET all you ever hear about is Microsoft projects ASP.NET core; Kestrel, IIS. Working as a .NET dev, when there is an SDK, if it's not from Microsoft, it's clear the .NET SDK is a lower priority for bug fixes and new features compared to e.g. the Java/Python/etc.

johnnycerberus 6y ago
Don't forget about the Java machine learning & deep learning "renaissance": Deeplearning4j https://deeplearning4j.org/ https://deeplearning4j.org/, Konduit Serving https://serving.konduit.ai/ https://serving.konduit.ai/, Amazon's open-source DJL https://djl.ai/ https://djl.ai/ Apache Mahout https://mahout.apache.org/ https://mahout.apache.org/ Apache Arrow https://arrow.apache.org/ https://arrow.apache.org/ TensorFlow can run on any JVM for building, training and running machine learning models. They have created recently https://github.com/tensorflow/java https://github.com/tensorflow/java PyTorch also supports inference on the JVM but you still need to train with Python. https://www.infoq.com/news/2020/02/pytorch-releases-java-bindings/ https://www.infoq.com/news/2020/02/pytorch-releases-java-bin... I think something like Scala will be used in the future instead of Python even for prototyping. Streaming is also big business on the JVM: Apache Kafka https://kafka.apache.org/ https://kafka.apache.org/ (80% of Fortune 100 companies use it) Apache Flink https://flink.apache.org/ https://flink.apache.org/ Apache Storm https://storm.apache.org/ https://storm.apache.org/ Hard to think that .NET ecosystem will ever reach the ecosystem of Java when it comes to open-source.

johnnycerberus 6y ago

Don't forget about the Java machine learning & deep learning "renaissance": Deeplearning4j https://deeplearning4j.org/ https://deeplearning4j.org/, Konduit Serving https://serving.konduit.ai/ https://serving.konduit.ai/, Amazon's open-source DJL https://djl.ai/ https://djl.ai/ Apache Mahout https://mahout.apache.org/ https://mahout.apache.org/ Apache Arrow https://arrow.apache.org/ https://arrow.apache.org/ TensorFlow can run on any JVM for building, training and running machine learning models. They have created recently https://github.com/tensorflow/java https://github.com/tensorflow/java PyTorch also supports inference on the JVM but you still need to train with Python. https://www.infoq.com/news/2020/02/pytorch-releases-java-bindings/ https://www.infoq.com/news/2020/02/pytorch-releases-java-bin... I think something like Scala will be used in the future instead of Python even for prototyping. Streaming is also big business on the JVM: Apache Kafka https://kafka.apache.org/ https://kafka.apache.org/ (80% of Fortune 100 companies use it) Apache Flink https://flink.apache.org/ https://flink.apache.org/ Apache Storm https://storm.apache.org/ https://storm.apache.org/ Hard to think that .NET ecosystem will ever reach the ecosystem of Java when it comes to open-source.