Kafka Streams might be a bit more popular than ChucK. We know about 14 links to it since March 2021 and only 12 links to ChucK. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / about 1 month ago
We’re not discussing the technical details behind the deduplication process. It could be Apache Flink, Apache Spark, or Kafka Streams. Anyway, it’s out of the scope of this article. - Source: dev.to / over 1 year ago
In pub-sub systems, you cannot have multiple services to consume the same data because the messages are deleted after being consumed by one consumer. Whereas in Kafka, you can have multiple services to consume. This opens the door to a lot of opportunities such as Kafka streams, Kafka connect. We’ll discuss these at the end of the series. - Source: dev.to / over 1 year ago
Internally, Streamiz use the .Net client for Apache Kafka released by Confluent and try to provide the same features than Kafka Streams. There is gap between these two library, but the trend is decreasing after each release. - Source: dev.to / over 1 year ago
Both Kafka and Pulsar provide some kind of stream processing capability, but Kafka is much further along in that regard. Pulsar stream processing relies on the Pulsar Functions interface which is only suited for simple callbacks. On the other hand, Kafka Streams and ksqlDB are more complete solutions that could be considered replacements for Apache Spark or Apache Flink, state-of-the-art stream-processing... - Source: dev.to / over 1 year ago
Check out ChucK also (https://chuck.cs.princeton.edu/). It's a very capable language and we'll documented. Source: about 1 year ago
I am a programmer by trade but don't often combine it with my musical endeavors. I briefly messed with https://chuck.cs.princeton.edu/ for live coding shows in college but honestly its very restrictive. Source: over 1 year ago
Also, a programming language geared towards music can help with process-driven composition. Max/MSP or ChucK for instance. Source: about 2 years ago
I haven't coded music in haskell, but I've coded it in Max/MSP and ChucK and I enjoyed them both https://chuck.cs.princeton.edu/ https://cycling74.com/products/max. - Source: Hacker News / over 2 years ago
ChucK: Strongly-Timed, Concurrent, and On-the-Fly Music Programming Language\ (15 comments). Source: over 2 years ago
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Sonic Pi - Sonic Pi is a new kind of instrument for a new generation of musicians. It is simple to learn, powerful enough for live performances and free to download.
Apache NiFi - An easy to use, powerful, and reliable system to process and distribute data.
SuperCollider - A real time audio synthesis engine, and an object-oriented programming language specialised for...
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Pure Data - Pd (aka Pure Data) is a real-time graphical programming environment for audio, video, and graphical...