ML & data pipeline deployment for humans
omega-ml is the pragmatic AI delivery and MLOps platform that works everywhere: locally, in the cloud, on premise and hybrid. Enabling data science teams of any size to build and deploy production-grade AI solutions. omega-ml has zero cloud dependency. omegaml
ML & data pipeline deployment for humans launched on May 15, 2019 with 8 votes, #1,030 of 3,072 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 7 years on.
What it does
Ready-made, consistent Python runtimes for your projects. Customized to your requirements Built on Python, w orks anywhere. Deploy on your laptop, on-prem VM or Kubernetes, or to your private cloud Easily deploy models directly from your notebooks, Python scripts and jobs. Understand the REST API live and test running models, jobs and scripts directly. Easily deploy models directly from your notebooks, Python scripts and jobs. omega-ml is the code-first MLOps platform, e nabling even individual data scientists and small teams to operationalize AI solutions end-2-end. With all MLOps features built-in, omega-ml removes the typical engineering overhead. Most data science teams are small,…from omegaml.io
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ZenML, extensible open-source MLOps framework for reproducible ML2020 · github.com · ▲37ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io. - zenml-io/zenml
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Fullstack ML – From Notebooks to Deployment2019 · github.com · ▲198Contribute to xadrianzetx/fullstack.ai development by creating an account on GitHub.


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