TouchDesigner might be a bit more popular than Apache Flink. We know about 30 links to it since March 2021 and only 29 links to Apache Flink. 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.
⇒ Resolume ⇒ NestMap ⇒ TouchDesigner ⇒ MadMapper ⇒ Any other software listed on the Spout website. Source: 12 months ago
Touchdesigner: https://derivative.ca/. Source: about 1 year ago
Touch Designer is an object oriented environment with a range of ways to manipulate data and plugins for external control (ie - artNET, sACN, dmx dongles) - it is somewhat OS agnostic / MAC/PC. Source: about 1 year ago
Python ranges from "decent" to "awesome" and "cutting edge" across a range of use cases. I would put graphics on the bottom tier of Python's strengths. You should look for something built for graphics. My go to is TouchDesigner by Derivative (derivative.ca). They offer a free license, it's all node based for real-time graphics processing, you can generate images with it, and you can script anything in... Source: about 1 year ago
It's Notch and Touchdesigner, two of the most used real-time graphic software in the event industry. Source: over 1 year ago
I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / 20 days ago
You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / about 1 month ago
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 / 2 months ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago
Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 6 months ago
MadMapper - The Mapping Software
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Resolume - Resolume is an application for live video performances.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Pure Data - Pd (aka Pure Data) is a real-time graphical programming environment for audio, video, and graphical...
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.