AI · alternatives · 2026
24 alternatives to Cortex
The easiest way to build machine learning apps
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Cortex launched in 2020; newer entries below may have overtaken it.
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2020 · github.com · its alternatives →
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Machine learning made easy for developers of any skill level
2015 · its alternatives →
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Make machine learning work for you, not the other way around
2022 · its alternatives →
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- 11BP
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 →
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Uncursor▲127Build apps and websites with AI. On iOS, Android, & the web
2025 · uncursor.com · its alternatives →
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- 16CM
2019 · github.com · its alternatives →
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Cortex▲70Run multiple claude-code agents from YAML config
Jan 2026 · cortex-cli.vercel.app · its alternatives →
- 23MB
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 →
- 24CM
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 →
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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 →