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.
|
|
|
|
|---|---|---|
| Website | github.com | opalstack.com |
| Pricing | — | |
| Listed in |
What each product offers, as listed by its team.


No features have been listed yet.
Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of micrograd yet.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using micrograd and Opalstack. For example, how are they different and which one is better?
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 / 3 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 / 4 months ago
Tracking Opalstack since Sep 2023.
When comparing micrograd and Opalstack, you can also consider the following products.
This may not be the best deep learning framework, but it is a deep learning framework.
Compare tinygrad to micrograd or Opalstack:

Open source deep learning platform that provides a seamless path from research prototyping to...
Compare PyTorch to micrograd or Opalstack:

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Compare TensorFlow to micrograd or Opalstack:

open source, low-code machine learning library in Python
Compare PyCaret to micrograd or Opalstack:

TigerBeetle is a financial accounting database designed for mission critical safety and performance to power the future of financial services.
Compare TigerBeetle to micrograd or Opalstack:
