serve VS polyaxon

Compare serve vs polyaxon and see what are their differences.

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serve polyaxon
11 9
3,924 3,465
2.0% 0.8%
9.6 8.8
5 days ago 10 days ago
Java Python
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.

serve

Posts with mentions or reviews of serve. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-15.

polyaxon

Posts with mentions or reviews of polyaxon. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-25.

What are some alternatives?

When comparing serve and polyaxon you can also consider the following projects:

MLflow - Open source platform for the machine learning lifecycle

kubeflow - Machine Learning Toolkit for Kubernetes

flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

dvc - 🦉 ML Experiments and Data Management with Git

server - The Triton Inference Server provides an optimized cloud and edge inferencing solution.

neptune-client - :ledger: The MLOps stack component for experiment tracking

onepanel - The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

mmlspark - Simple and Distributed Machine Learning [Moved to: https://github.com/microsoft/SynapseML]

deepchecks - Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

mpi-operator - Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)

intelligent-trading-bot - Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.