AI · alternatives · 2026

24 alternatives to Cortex – machine learning infrastructure for developers

Production infrastructure for machine learning at scale - cortexlabs/cortex

Cortex is an open-source machine learning infrastructure platform designed for developers. It simplifies the process of building, deploying, and managing ML models by providing tools to streamline workflows from… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Cortex – machine learning infrastructure for developers launched in 2019; newer entries below may have overtaken it.

1
Cortex – Open-source alternative to SageMaker for model serving▲65
Production infrastructure for machine learning at scale - GitHub - cortexlabs/cortex at v0.15.1
2020 · github.com · its alternatives →
2
Cortex▲81
Deploy, manage, and scale machine learning applications
2019 · its alternatives →
3
Cortexfree▲306
Turn API specs into docs, SDKs, and MCP servers
Sep 2026 · cortexdocs.dev · its alternatives →
4
TensorFlow 1.0▲823
Open-source machine learning library by Google
2017 · tensorflow.org · its alternatives →
5
Continuous Machine Learning – CI/CD for Machine Learning Projects▲171
Bring DevOps practices to your projects for automatic, reproducible, and fast machine learning.
2020 · cml.dev · its alternatives →
6
Cortex▲15
The easiest way to build machine learning apps
2020 · github.com · its alternatives →
7
MakeML▲274
Train Neural Networks without a line of code
2019 · makeml.app · its alternatives →
8
Layer AI▲124
Metadata store for production ML
2022 · layer.ai · its alternatives →
9
Label Studio 1.8.0 Release▲185
Open source data labelling platform for AI model tuning
2023 · labelstud.io · its alternatives →
10
Tensorflow Research Cloud▲288
Accelerating open machine learning research with Cloud TPUs
2017 · sites.research.google · its alternatives →
11
TensorPort▲143
Help teams apply machine learning to real-world applications
2017 · its alternatives →
12
MindsDB▲235
In-database machine learning
2022 · its alternatives →
13
Lionbridge AI Annotation Platform▲78
All-in-one data annotation platform for machine learning
2019 · its alternatives →
14
Cortex▲70
Run multiple claude-code agents from YAML config
Jan 2026 · cortex-cli.vercel.app · its alternatives →
15
Paperspace for Machine Learning▲152
A Linux desktop in the cloud built for Machine Learning
2016 · its alternatives →
16
Datature▲271
No-code platform for building deep neural nets
2021 · datature.io · its alternatives →
17
StackML▲252
Machine Learning platform in-browser, for creators
2019 · its alternatives →
18
Zerve AI▲174
What if Jupyter + Figma + VSCode had a baby?
2024 · zerve.ai · its alternatives →
19
Cortex – Living Documentation for your Microservice Architecture▲20
Cortex is the Engineering Operations Platform that gives engineering teams the visibility, governance, and golden paths to ship faster with AI, without runaway risk.
2019 · getcortexapp.com · its alternatives →
20
Zoo▲234
A free, open-source playground for AI image models
2023 · zoo.replicate.dev · its alternatives →
21
End-to-end deep learning experimentation platform for Tensorflow▲151
AI Infra / AI Orchestration / AI Control Plane. Contribute to polyaxon/polyaxon development by creating an account on GitHub.
2017 · github.com · its alternatives →
22
Featureform – An open-source Feature Store for ML▲136
The Virtual Feature Store. Turn your existing data infrastructure into a feature store. - featureform/featureform
2022 · github.com · its alternatives →
23
ZenML▲84
Create reproducible machine learning pipelines
2020 · github.com · its alternatives →
24BP
Build predictive models with no prior ML experience▲70
TLDR: Product developers need tools designed for them to build ML models. We’d love for you to try a demo of Mage without needing to sign up: https://www.mage.ai/onboarding My name is Tommy DANGerous (or Tommy Dang) and I’m the CEO and co-founder at Mage. I worked at Airbnb for over 5 years as a product developer building features for guests. Mage is a web-based tool for building, training, and deploying ML models that make predictions based off your data. Training and using ML models in production typically requires working knowledge of building data pipelines, algorithms,…
2022 · its alternatives →

Also compare

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 →