
tinygrad
PyTorch
TensorFlow
PyCaret
TorchStudio
Deeplearning4j
SerpentAI
A tiny Autograd engine (with a bite! :)).

Cursor
warp by spolu
GitHub Copilot
Google Antigravity
opencode
Codex 3.0 by OpenAI
Windsurf Editor
Transform hours of debugging into seconds with a single command. Experience coding at thought-speed with Claude's AI that understands your entire codebase—no more context switching, just breakthrough results.

Which is more popular?
Based on our record, micrograd seems to be more popular. It has been mentioned 5 times since March 2021.
Website, pricing, platforms and company facts side by side.
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I just purchased 20 bucks package of claude and now its working as a full time employee for me.
Recommendations tracked on public social media and blogs since March 2021.


I built the first version of DeepFork to understand micrograd — Andrej Karpathy's 100-line autograd engine. Most people read micrograd for the aha moment. DeepFork turns that moment into an artifact. - Source: dev.to / 4 months ago
Karpathy built a small project called micrograd. You can see the code here. This is made up of just a few simple lines of code, but it shows us how neural networks are built under the hood. In the video, he demonstrated how to build... - Source: dev.to / 4 months ago
It can happen like this: - write sleek operator-overloading-based code for simple mathematical operations on your custom pet algebra - decide that you want to turn it into an autograd library [0] - realise that you now need either... - Source: Hacker News / 5 months ago
Tracking Claude Code since May 2025.
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