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Dev tools · alternatives · 2026

24 alternatives to Deployment automation for ML projects of all shapes and sizes

ML pipeline orchestration and model deployments on Kubernetes. - bodywork-ml/bodywork-core

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Deployment automation for ML projects of all shapes and sizes launched in 2021; newer entries below may have overtaken it.

  1. 1

    Deploy machine learning into production 🚀

    2021 · its alternatives →

  2. 2AP
  3. 3
    UbiOps▲111

    AI Model Serving & Orchestration

    2024 · ubiops.com · its alternatives →

  4. 4GD
  5. 5

    A smarter workflow for Kubernetes & Cloud Native apps

    2021 · cto.ai · its alternatives →

  6. 6

    The right infrastructure, auto-provisioned in your cloud

    2022 · nitric.io · its alternatives →

  7. 7

    Deploy applications to any Kubernetes environment at scale

    2023 · plural.sh · its alternatives →

  8. 8

    Automate DevOps for AI/ML with the AI Layer

    2014 · datarobot.com · its alternatives →

  9. 9
    buildpipe▲116

    Compose, run and automate multi step AI developer workflows

    May 2026 · buildpipe.com · its alternatives →

  10. 10

    HyScale is an Application Centric Abstraction Framework over K8s. - hyscale/hyscale

    2020 · github.com · its alternatives →

  11. 11
    Kuberns▲40

    The AI agent that deploys and manages your cloud

    Jul 2026 · kuberns.com · its alternatives →

  12. 12

    A large part of our (Real Kinetic's) business is helping organizations implement platform engineering, but we've found the existing tooling to be lacking. For IaC, Terraform state becomes a pain because TF treats infrastructure as "one-shot" commands. The Kubernetes controller model provides a nicer approach to managing infrastructure, but the tooling here is also lacking. For configuration management, Helm just doesn't really scale with complexity, nor does Kustomize. For resource orchestration, Crossplane is a step in the right direction but still has challenges and limitations. As a…

    2025 · koreo.dev · its alternatives →

  13. 13

    Deploy Model Context Protocol (MCP) servers with ease. Scale your AI models seamlessly with our cutting-edge platform.

    2025 · mcp-cloud.ai · its alternatives →

  14. 14

    The simplest way to serve AI/ML models in production - basetenlabs/truss

    2022 · github.com · its alternatives →

  15. 15

    Hi HN! We’re Yann, Edouard, and Bastien from Koyeb (https://www.koyeb.com/). We’re building a platform to let you deploy full-stack apps on high-performance hardware around the world, with zero configuration. We provide a “global serverless feeling”, without the hassle of re-writing all your apps or managing k8s complexity [1]. We built Scaleway, a cloud service provider where we designed ARM servers and provided them as cloud servers. During our time there, we saw customers struggle with the same issues while trying to deploy full-stack applications and APIs resiliently. As…

    2023 · koyeb.com · its alternatives →

  16. 16
    iko.ai▲76

    Train, track, deploy, & monitor your machine learning models

    2021 · its alternatives →

  17. 17

    Deploy a ML inference service on a budget in less than 10 lines of code. - ebhy/budgetml

    2021 · github.com · its alternatives →

  18. 18

    Automating the continuous deployment pipeline

    2017 · leanpub.com · its alternatives →

  19. 19

    Hi everyone, I run a generative AI infra company, unified API for 600+ models. Our team started deploying AI agents for our marketing and lead gen ops: content, engagement, analytics across multiple X accounts. OpenClaw worked fine for single agents. But at ~14 agents across 6 accounts, the problem shifted from "how do I build agents" to "how do I manage them." Deployment, monitoring, team isolation, figuring out which agent broke what at 3am. Classic orchestration problem. So I built klaw, modeled on Kubernetes: Clusters — isolated environments per org/project Namespaces — team-level…

    Feb 2026 · github.com · its alternatives →

  20. 20

    Deploy machine learning models with one line of code

    2023 · keaml.com · its alternatives →

  21. 21
    Garden▲95

    Automation platform for Kubernetes development & testing

    2020 · docs.garden.io · its alternatives →

  22. 22

    Uncorking K8s bottlenecks and insights, one pod at a time

    2025 · bottlenetes.com · its alternatives →

  23. 23
    Cortex▲81

    Deploy, manage, and scale machine learning applications

    2019 · its alternatives →

  24. 24VK

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →