AI · alternatives · 2026
24 alternatives to Alchemy by Fritz
The easiest way to convert a neural network to Core ML
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Alchemy by Fritz launched in 2018; newer entries below may have overtaken it.
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Apple MLX▲138An array framework for machine learning on Apple silicon
2023 · pypi.org · its alternatives →
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Machine learning for mobile developers
2018 · developers.google.com · its alternatives →
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Apple Core ML▲196Integrate a broad variety of ML model types into your app
2017 · developer.apple.com · its alternatives →
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Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood. - xmartlabs/Bender
2017 · github.com · its alternatives →
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2020 · dafriedman97.github.io · its alternatives →
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Comet.ml▲208Automatically track machine learning code and experiments
2018 · comet.com · its alternatives →
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built a tiny pytorch clone in c after going through prof. vijay janapa reddi's mlsys book: mlsysbook.ai/tinytorch/ perfect for learning how ml frameworks work under the hood :)
Dec 2025 · github.com · its alternatives →
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A chess engine implementation inspired by AlphaZero, using MLX for neural network computations and Monte Carlo Tree Search (MCTS) for move selection.
2025 · github.com · its alternatives →
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I’ve spent the last few months building a deep learning engine completely from scratch in Python (using only math and random). What started as a basic linear algebra calculator project grew into a symbolic tensor system with autodiff, custom matrix ops, attention mechanisms, LayerNorm, GELU, and even a text generation demo trained on the Brown corpus. I'm still an undergrad, so my main goal is to deeply understand how deep learning actually works under the hood - gradients, attention, backpropagation, optimizers - by building it step-by-step with full visibility into everything, and without…
2025 · github.com · its alternatives →
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Weights & Biases▲110Developer tools for deep learning & machine learning
2019 · wandb.ai · its alternatives →
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A native command-line interface for working with Apple Core ML models on macOS - schappim/coreml-cli
Jan 2026 · github.com · its alternatives →
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ML Annotator▲79Annotate machine learning data sets and output to models
2022 · apps.apple.com · its alternatives →
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Everything you always wanted to know about machine learning.
2016 · homes.cs.washington.edu · its alternatives →
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Mobile machine learning made simple, now on Android.
2018 · fritz.ai · its alternatives →
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Vibe profile your ML models to get max performance.
2025 · github.com · its alternatives →
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FiftyOne▲75Accelerate your machine learning experimentation
2020 · docs.voxel51.com · its alternatives →
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Unlock the power of AI with no-code machine learning
2022 · graphite-note.com · its alternatives →
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By Rishabh Singh, Jacob Devlin, Abdelrahman Mohamed, and Pushmeet Kohli, Microsoft Research Despite the many advances in computing over the past decades, the actual process of writing computer software has not fundamentally changed — a programmer must manually code the exact algorithmic logic of a p
2017 · microsoft.com · 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 →