magika | nifi | |
---|---|---|
5 | 35 | |
7,358 | 4,429 | |
1.8% | 2.2% | |
9.8 | 9.9 | |
9 days ago | 5 days ago | |
Python | Java | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
magika
- Ask HN: How to handle user file uploads?
- FLaNK Stack Weekly 19 Feb 2024
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Magika: AI powered fast and efficient file type identification
As someone that has worked in a space that has to deal with uploaded files for the last few years, and someone who maintains a WASM libmagic Node package ( https://github.com/moshen/wasmagic ) , I have to say I really love seeing new entries into the file type detection space.
Though I have to say when looking at the Node module, I don't understand why they released it.
Their docs say it's slow:
https://github.com/google/magika/blob/120205323e260dad4e5877...
It loads the model an runtime:
https://github.com/google/magika/blob/120205323e260dad4e5877...
They mark it as Experimental in the documentation, but it seems like it was just made for the web demo.
Also as others have mentioned. The model appears to only detect 116 file types:
https://github.com/google/magika/blob/120205323e260dad4e5877...
Where libmagic detects... a lot. Over 1600 last time I checked:
https://github.com/file/file/tree/4cbd5c8f0851201d203755b76c...
I guess I'm confused by this release. Sure it detected most of my list of sample files, but in a sample set of 4 zip files, it misidentified one.
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Show HN: Magika: AI powered fast and efficient file type identification
We are very excited to announce the release of Magika our AI powered fast and efficient file type identification lib and tool - https://opensource.googleblog.com/2024/02/magika-ai-powered-fast-and-efficient-file-type-identification.html
Thanks to its optimized Keras model, large scale training dataset, and Onnx Magika massively outperform other file identification tools while be very fast even on CPU.
Magika python code and model is open sourced on Github: https://github.com/google/magika and we also provide an experimental TFJS based npm package https://www.npmjs.com/package/magika
With the team we hope you will find Magika useful for your own projects. Let us know what you think or if you have any question!
nifi
- FLaNK Stack Weekly 19 Feb 2024
- Ask HN: What are some unpopular technologies you wish people knew more about?
- FLaNK Stack Weekly for 13 November 2023
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Ask HN: What low code platforms are worth using?
Apache NIFI (https://nifi.apache.org/).
It uses the concept of Flow-based programming. Also its so underacknolged but this tool is very flexible. I have used as an Event Bus all the 3rd-Party Integrations.
- Apache Nifi: easy to use, powerful, reliable system to process, distribute data
- Tool decision - What architecture would you choose and why?
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Help with choosing techstack for a new DE team
Presently setting up Apache Nifi + Apache MiNiFi for the ETL portion of my work. NiFi was easy enough to figure out; but the docs for MiNiFi have been a pain due to differences between the Java and C++ versions. I then entirely configured it with the Java version so that it was easier to search for answers for the MiNiFi yaml syntax.
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MS SQL Change Data Capture
Found it
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Is there something like airflow but written in Scala/Java?
Apache Camel Apache Nifi Spring Cloud
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Json splitting and Rerouting (new to nifi)
NIFI, like most Apache projects does most of its discussion on its mailing lists, but also has a slack.