AI · alternatives · 2026

24 alternatives to KeaML Deployments

Deploy machine learning models with one line of code

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. KeaML Deployments launched in 2023; newer entries below may have overtaken it.

1
KeaML▲80
Create machine learning environments in 2 clicks
2022 · its alternatives →
2
Cortex▲81
Deploy, manage, and scale machine learning applications
2019 · its alternatives →
3
Keywords AI▲690
Unified DevOps platform to build AI applications
2024 · respan.ai · its alternatives →
4DM
Deploy ML Models on a Budget▲117
2021 · github.com · its alternatives →
5IT
I trained a deep learning model to build sites for me▲397
2019 · zecoda.com · its alternatives →
6
Algorithmia▲154
Automate DevOps for AI/ML with the AI Layer
2014 · its alternatives →
7
LLMWare▲358
Dev tool to make AI apps to deploy privately or locally
2024 · its alternatives →
8
Prompt Engineering Studio▲501
Build, test & deploy AI prompts across 1600+ models at scale
2025 · its alternatives →
9MA
My Attempt to Organize the World of AI Dev Tools▲101
I've been exploring the (not so=) amazing potential of AI in coding and have compiled a list of tools. From AI-powered IDEs to code generators, this resource is my contribution to the community. I'm still on the fence about including txt2sql projects, as their functionality seems too basic to me. And I'm personally maintaining this, so your feedback is wellcome.
2025 · aicode.danvoronov.com · its alternatives →
10MZ
Model Zoo: Deploy your machine learning model in a single line of code▲34
2020 · modelzoo.dev · its alternatives →
11
One Click Deploy▲96
Deploy your LiveKit Voice AI agents instantly
2025 · its alternatives →
12
Elemeno AI-Ops▲67
Make machine learning work for you, not the other way around
2022 · its alternatives →
13
Plexe▲273
Build and deploy ML models in English
Oct 2025 · plexe.ai · its alternatives →
14CM
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 →
15
Runway▲148
Machine learning for creators. Train custom AI models.
2020 · its alternatives →
16
Xander▲9
No code AI development & deployment
2024 · its alternatives →
17
Layer AI▲124
Metadata store for production ML
2022 · its alternatives →
18
BuildShip Tools▲224
Vibe-code MCP-ready tools for any AI Agent
2025 · its alternatives →
19
Zeroqode▲225
Everything you need to build your next AI project
2023 · its alternatives →
20
Cosmic AI Platform▲90
AI-powered app development and deployment
2025 · cosmicjs.com · its alternatives →
21
Krinql▲92
An AI powered suite of developer tools
2021 · its alternatives →
22ML
Machine learning automation from creating to using models in production▲72
2021 · github.com · its alternatives →
23
Cargoship▲117
Curated open-source AI models for web developers
2023 · its alternatives →
24
Keplr▲112
Turn your datasets into prediction engines
2016 · 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 →