sdk-java VS submarine

Compare sdk-java vs submarine and see what are their differences.

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sdk-java submarine
1 1
11 688
- 0.1%
2.6 6.7
over 2 years ago 29 days 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.

sdk-java

Posts with mentions or reviews of sdk-java. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-15.
  • Introducing Modzy's AI Hackathon
    4 projects | dev.to | 15 Oct 2021
    For further ease of use and integration, we've released a number of open source SDKs in Java, Python, JavaScript, and Go, and certainly welcome any and all contributions that may arise through their use in the competition.

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 sdk-java and submarine you can also consider the following projects:

sdk-javascript - The official JavaScript SDK for the Modzy Machine Learning Operations (MLOps) Platform.

serve - Serve, optimize and scale PyTorch models in production

sdk-python - Python library for Modzy Machine Learning Operations (MLOps) Platform

nifi-djl-processor - Apache NiFi 1.10 DJL

sdk-python - Temporal Python SDK

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

sdk-go - The Golang library for Modzy Machine Learning Operations (MLOps) Platform

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

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

Hello-Kaggle - For someone who is new at Kaggle