AI · alternatives · 2026

24 alternatives to Bodywork

Deploy machine learning into production 🚀

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Bodywork launched in 2021; newer entries below may have overtaken it.

1DM
Deploy ML Models on a Budget▲117
2021 · github.com · its alternatives →
2ML
Machine learning automation from creating to using models in production▲72
2021 · github.com · its alternatives →
3
Cortex▲81
Deploy, manage, and scale machine learning applications
2019 · its alternatives →
4
Inferless▲749
Deploy any machine learning models in minutes
2025 · inferless.com · its alternatives →
5
iko.ai▲76
Train, track, deploy, & monitor your machine learning models
2021 · its alternatives →
6
Plexe▲273
Build and deploy ML models in English
Oct 2025 · plexe.ai · its alternatives →
7
Layer AI▲124
Metadata store for production ML
2022 · its alternatives →
8
TensorPort▲143
Help teams apply machine learning to real-world applications
2017 · its alternatives →
9
KeaML Deployments▲96
Deploy machine learning models with one line of code
2023 · its alternatives →
10
Machine Box▲94
Run, deploy & scale state of the art machine learning tech
2017 · its alternatives →
11
Pretrained AI▲144
Integrate pretrained machine learning models in minutes.
2021 · its alternatives →
12
Modelbit▲125
Heroku for Data Science, from the founders of Periscope Data
2023 · its alternatives →
13BM
Build Machine Learning Web-Service with Python and Django▲67
2020 · github.com · its alternatives →
14
MindsDB▲235
In-database machine learning
2022 · its alternatives →
15
Model Zoo▲74
Deploy your machine learning model in a single line of code.
2020 · its alternatives →
16
Spell Model Serving▲5
Deploy, Track, and Monitor Machine Learning Models
2020 · its alternatives →
17
Gradio 5.0▲224
The easiest way to build AI web apps
2024 · gradio.app · its alternatives →
18
Weights & Biases▲110
Developer tools for deep learning & machine learning
2019 · its alternatives →
19CM
Compile ML models into dependency-free source code for easy deployment▲37
I'm a machine learning engineer who always found it annoying to integrate ML models into phone apps, smartwatch apps, microcontroller firmware etc... Why do we need all these libraries and runtimes with all the overhead, compatibility issues and other headaches, when it's just some math to be executed? So I made a compiler that simply converts the model into plain source code with no dependencies, and it actually solved all my deployment problems. Now I'm curious if it can help anyone else too. Through the link you can submit your model file (Keras h5, onnx soon to be supported), and I'll…
2023 · waveworks.dk · its alternatives →
20BB
Baseten – Build ML-powered applications▲112
Hi HN, Three months ago, I took a job at Baseten to help craft and document an application builder that lets data scientists build full-stack, production-ready applications around their ML models without worrying about containers, Flask, or React. From my first day, everyone was focused on what would happen today: opening up our public beta. I’m super excited to see what you build with Baseten. If you want to take Baseten for a full-speed test drive, follow along with this tutorial, where you can build and deploy an application in 20 minutes:…
2022 · baseten.co · its alternatives →
21
DVC Studio▲95
Machine Learning Experiments based on Git
2021 · its alternatives →
22MZ
Model Zoo: Deploy your machine learning model in a single line of code▲34
2020 · modelzoo.dev · its alternatives →
23
FloydHub Workspaces▲80
The easiest cloud IDE for deep learning
2018 · its alternatives →
24
UnionML▲77
The easiest way to build and deploy ML microservices
2022 · 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 →