nifi-djl-processor VS submarine

Compare nifi-djl-processor vs submarine and see what are their differences.

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nifi-djl-processor submarine
- 1
7 688
- 0.1%
0.0 6.4
almost 2 years ago about 1 month ago
Java Java
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

nifi-djl-processor

Posts with mentions or reviews of nifi-djl-processor. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning nifi-djl-processor yet.
Tracking mentions began in Dec 2020.

submarine

Posts with mentions or reviews of submarine. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing nifi-djl-processor and submarine you can also consider the following projects:

kylo - Kylo is a data lake management software platform and framework for enabling scalable enterprise-class data lakes on big data technologies such as Teradata, Apache Spark and/or Hadoop. Kylo is licensed under Apache 2.0. Contributed by Teradata Inc.

serve - Serve, optimize and scale PyTorch models in production

nifi-extracttext-processor - Apache NiFi Custom Processor Extracting Text From Files with Apache Tika

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java

nifi - Apache NiFi

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle