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AI · alternatives · 2026

DA

24 alternatives to depot.ai – easily embed ML / AI models in your Dockerfile

Hey HN! We're excited to launch https://depot.ai today - depot.ai is an open-source Docker registry that makes it easy to embed public models from Hugging Face in your Docker images using a `COPY`: # Copy all files from the model repo to the current WORKDIR COPY --link --from=depot.ai/runwayml/stable-diffusion-v1-5 / . # COPY just one file from the model repo to the current WORKDIR COPY --link --from=depot.ai/runwayml/stable-diffusion-v1-5 /v1-5-pruned.ckpt . To optimize build speed, cache hits, and registry storage, we're building each image…

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. depot.ai – easily embed ML / AI models in your Dockerfile launched in 2023; newer entries below may have overtaken it.

  1. 1CP
  2. 2
    Cargoship▲117

    Curated open-source AI models for web developers

    2023 · its alternatives →

  3. 3

    High-performance AI model loader

    2024 · its alternatives →

  4. 4

    Hey HN! We’re Kyle and Jacob and we are excited to show you Depot (https://depot.dev) and get your feedback! Depot is a hosted Docker container build service, providing fully managed remote builds from CI and from your terminal. We support both Intel and Arm builds natively. As application and platform engineers, we have experienced the challenge of keeping Docker container build times fast. From optimizing and reoptimizing Dockerfiles, to implementing layer caching in CI, to running & maintaining custom runners for multi-platform images. Still today, there are limitations with the…

    2022 · depot.dev · its alternatives →

  5. 5DA
  6. 6
    Depot▲169

    Build Docker containers up to 20x faster

    2023 · depot.dev · its alternatives →

  7. 7RL

    Hello Hacker News! We're Yangqing, Xiang and JJ from lepton.ai. We are building a platform to run any AI models as easy as writing local code, and to get your favorite models in minutes. It's like container for AI, but without the hassle of actually building a docker image. We built and contributed to some of the world's most popular AI software - PyTorch 1.0, ONNX, Caffe, etcd, Kubernetes, etc. We also managed hundreds of thousands of computers in our previous jobs. And we found that the AI software stack is usually unnecessarily complex - and we want to change that. Imagine if you are a…

    2023 · lepton.ai · its alternatives →

  8. 8

    Contribute to xadrianzetx/fullstack.ai development by creating an account on GitHub.

    2019 · github.com · its alternatives →

  9. 9

    Open-source, easily create ready-to-use ML models for NLP

    2022 · github.com · its alternatives →

  10. 10AD

    Hello HN! We just launched a new feature we built at Depot that accelerates Docker image builds on your local machine in a team environment, and we wanted to share some of the details with you all. The launch blog post: https://depot.dev/blog/local-builds Depot is a hosted container build service - we run fully managed Intel and Arm remote build machines in AWS, with large instance sizes and SSD cache disks. The machines run BuildKit, the build engine that powers Docker, so generally anything you can `docker build`, you can also `depot build`. Most people use Depot in CI,…

    2023 · its alternatives →

  11. 11
    Plexe▲273

    Build and deploy ML models in English

    2025 · plexe.ai · its alternatives →

  12. 12
    Zoo▲234

    A free, open-source playground for AI image models

    2023 · zoo.replicate.dev · its alternatives →

  13. 13

    Hey everyone, ML Blocks is a node-based workflow builder to create multi-modal AI workflows without writing any code. You connect blocks that call various visual models like GPT4v, Segment Anything, Dino etc. along with basic image processing blocks like resize, invert color, blur, crop, and several others. The idea is to make it easier to deploy multi-step image processing workflows, without needing to spin up endless custom OpenCV cloud functions to glue together AI models. Usually, even if you're using cloud inference servers like Replicate, you still need to write your own image…

    2024 · mlblocks.com · its alternatives →

  14. 14

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

    2021 · github.com · its alternatives →

  15. 15

    Integrate pretrained machine learning models in minutes.

    2021 · pretrained.ai · its alternatives →

  16. 16

    Open-source homeserver OS with a built-in AI agent

    Jul 2026 · livinity.io · its alternatives →

  17. 17SP

    Hi HN, this is an early version of what we’re imagining as a truly functional stock photo platform using Stable Diffusion. We’re doing our best to hide the customization prompts on the back end so users are able to quickly search for pre-existing generated photos, or create new ones that would ideally work as well. If we keep going with it, in future versions we’d like to add voting, better tags, and more varied prompts, or maybe whatever you recommend!

    2022 · ghostlystock.com · its alternatives →

  18. 18TA
  19. 19
    Synapis▲126

    Build & deploy AI models online – no code or hardware needed

    2025 · synapis.io · its alternatives →

  20. 20

    Automate DevOps for AI/ML with the AI Layer

    2014 · datarobot.com · its alternatives →

  21. 21

    An on-premises, bare-metal solution for deploying GPU-powered applications in containers - emergingstack/es-dev-stack

    2016 · github.com · its alternatives →

  22. 22

    Đăng nhập 789BET (7789bet) để trải nghiệm cá cược trực tuyến với nhiều trò chơi hấp dẫn và cơ hội thắng lớn.

    2015 · containerfactory.io · its alternatives →

  23. 23

    Hugging Face's AI agent that automates post-training

    Apr 2026 · smolagents-ml-intern.hf.space · its alternatives →

  24. 24

    The AI Copilot built for Logistics teams

    2025 · dock.backops.ai · its alternatives →

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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 →