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Faust

16
44
+ 1
0
JUCE

21
37
+ 1
9
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Pros of Faust
Pros of JUCE
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    • 3
      Cross platform
    • 2
      Fast
    • 1
      Pure C++ code
    • 1
      Open Source
    • 1
      Performance
    • 1
      Nice GUI

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    Cons of Faust
    Cons of JUCE
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      • 2
        Free Edition has Made with Juce

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      What is Faust?

      It is a stream processing library, porting the ideas from Kafka Streams to Python. It provides both stream processing and event processing, sharing similarity with tools such as Kafka Streams, Apache Spark/Storm/Samza/Flink.

      What is JUCE?

      It is a C++ framework for low-latency applications, with cross-platform GUI libraries to get your apps running on Mac OS X, Windows, Linux, iOS and Android.

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      What companies use Faust?
      What companies use JUCE?
        No companies found
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        What tools integrate with Faust?
        What tools integrate with JUCE?

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        What are some alternatives to Faust and JUCE?
        Kafka
        Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
        Apache Flink
        Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
        Celery
        Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.
        Apache Spark
        Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
        Kafka Streams
        It is a client library for building applications and microservices, where the input and output data are stored in Kafka clusters. It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka's server-side cluster technology.
        See all alternatives
        Interest over time
        How much does Faust cost?
        How much does JUCE cost?
        Pricing unavailable