AI · alternatives · 2026
24 alternatives to Amazon SageMaker
Build, train, and deploy machine learning models at scale
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Amazon SageMaker launched in 2017; newer entries below may have overtaken it.
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Production infrastructure for machine learning at scale - GitHub - cortexlabs/cortex at v0.15.1
2020 · github.com · its alternatives →
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Machine learning made easy for developers of any skill level
2015 · aws.amazon.com · its alternatives →
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2019 · zecoda.com · its alternatives →
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Data-driven AI content creation
2024 · sage-marketer.com · its alternatives →
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LLMs and Machine Learning done easily. Contribute to Kenza-AI/sagify development by creating an account on GitHub.
2018 · github.com · its alternatives →
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Sage is a Rust-like programming language built on a brainfuck-inspired VM with LLVM-like properties. https://github.com/adam-mcdaniel/sage Check out the web-demo to run the compiler in the browser, along with a graphical example using JavaScript interop! https://adam-mcdaniel.net/sage Sage is designed to be portable, but also useful. To prove its usefulness, I used it to implement a user-space for a new operating system: SageOS https://github.com/adam-mcdaniel/sage-os The language also runs on embedded devices, like the flipper zero!
2024 · github.com · its alternatives →
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a delightful machine learning tool that allows you to train, test, and use models without writing code - GitHub - nidhaloff/igel at v0.4.0
2021 · github.com · its alternatives →
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DataMacaw▲67Train and run your AI models easily at low cost in the cloud
2022 · aws.amazon.com · its alternatives →
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ML Console is a free tool to build an AI model without writing a single line of code. Simply pick a column to predict, and let us handle the rest.
2021 · mlconsole.com · its alternatives →
- 21BP
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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Pretrained AI▲144Integrate pretrained machine learning models in minutes.
2021 · pretrained.ai · its alternatives →
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Deploy a ML inference service on a budget in less than 10 lines of code. - ebhy/budgetml
2021 · github.com · its alternatives →
- 24SM
2021 · spotml.io · 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 →