Alternatives

Products that do what ZenML – Portable, production-ready MLOps pipelines does

1. 1ZE
   ZenML, extensible open-source MLOps framework for reproducible ML▲37

   2020 · github.com

2. 2
   ZenML▲84

   Create reproducible machine learning pipelines

   2020

3. 3OM
   Open MLOps – Open-Source Production Machine Learning▲8

   2021 · datarevenue.com

4. 4SM
   SpotML – Managed ML Training on Cheap AWS/GCP Spot Instances▲157

   2021 · spotml.io

5. 5ZA
   Zepel, a Jira alternative for product teams▲119

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6. 6GB
   Gaia – Build pipelines in any programming language▲231

   2019 · gaia-pipeline.io

7. 7ZA
   Zengine – a platform to build custom business apps▲51

   2014 · zenginehq.com

8. 8TZ
   The Zen of Data Pipelines (Book)▲27

   2017 · gpestana.gitbooks.io

9. 9KA
   kaos - an open source platform for simplifying ML deployments▲20

   2019 · ki-labs.com

10. 10MD
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    2019 · omegaml.io

11. 11RJ
    RemoteML – Job Directory for Remote Machine Learning Positions▲99

    2018 · remoteml.com

12. 12
    BigML▲64

    Machine learning as a service - build predictive apps

    2014

13. 13GF
    GUIs for Faster ML Prototyping and Sharing▲85

    2020 · github.com

14. 14LB
    Lowdefy – Build internal tools with YAML on an open-source framework▲107

    2021 · lowdefy.com

15. 15PA
    Prefect – A workflow engine designed for modern data engineering▲59

    2019 · github.com

16. 16OC
    One-Click MLOps Platform Sandbox with ZenML, MLflow, Kubeflow and MinIO▲6

    Founder of ZenML here, the company behind the sandbox service. We created the MLOps Platform Sandbox to give ML and MLOps Engineers the ability to pick and choose their preferred infrastructure and tooling to build a platform that fulfills their company’s needs. Deploying a rudimentary MLOps platform can be time-consuming for new users. The MLOps Platform Sandbox bridges this gap by providing a one-click deployment platform for a pre-built ephemeral MLOps stack, simplifying the deployment process. For now, you can create a sandbox for 8 hours with a stack made up of ZenML, Kubeflow, MLflow,…

    2023 · sandbox.zenml.io

17. 17OS
    Open-source code editor for transforming data and building ML pipelines▲6

    2022 · github.com

18. 18ST
    Streamlit – Turn Python Scripts into Beautiful ML Tools▲52

    2019 · github.com

19. 19EE
    Emulambda – Emulating AWS Lambda for Local Development▲19

    2015 · blog.fugue.co

20. 20SA
    Salty, a minimalist DevOps tool inspired by Saltstack and Ansible▲32

    2021 · github.com

21. 21CA
    Cloudsnap, an integration platform for developers▲18

    2012 · cloudsnap.com

22. 22ML
    Machine Learning into Production Workshop: MLFlow, Airflow Tutorials▲8

    2019 · github.com

23. 23AY
    A Yeoman generator for a front-end dev workflow▲16

    2013 · github.com

24. 24LA
    Local automation runner with built-in LLM steps – YAML pipelines▲5

    Jun 2026 · rorlikowski.github.io

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