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correct the download metrics and claims #21

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Terminay merged 1 commit into from
Aug 9, 2026
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correct the download metrics and claims #21

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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -7,7 +7,7 @@
![Tests](https://img.shields.io/github/actions/workflow/status/Terminay/LeanPass/summary.yml?label=tests)
![CodeQL](https://img.shields.io/github/actions/workflow/status/Terminay/LeanPass/codeql.yml?label=CodeQL)
![PyPI Publish](https://img.shields.io/github/actions/workflow/status/Terminay/LeanPass/publish-pypi.yml?label=PyPI%20publish)
![Size](https://img.shields.io/badge/size-~118KB-lightgrey)
![Size](https://img.shields.io/badge/size-~8.5KB-lightgrey)
![Real Downloads](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/Terminay/LeanPass/main/badge.json)
[![Stars](https://img.shields.io/github/stars/Terminay/LeanPass?style=social)](https://github.com/Terminay/LeanPass/stargazers)

Expand Down Expand Up @@ -155,13 +155,13 @@ LeanPass is designed to be minimal. Here is how it compares to other frameworks:

| Library | Package Size | Lines of Code | Dependencies | Install Time |
|---------|-------------|---------------|-------------|--------------|
| **LeanPass** | **~118 KB** | **~730** | **1 (NumPy)** | **~2 seconds** |
| **LeanPass** | **~8.5 KB** | **~730** | **1 (NumPy)** | **<1 second** |
| Micrograd | ~15 KB | ~150 | 0 | ~1 second |
| PyTorch | ~800+ MB | millions | many (CUDA, etc.) | ~minutes |
| TensorFlow | ~1+ GB | millions | many (CUDA, etc.) | ~minutes |
| JAX | ~200+ MB | millions | several | ~minutes |

LeanPass is **~7000x smaller** than PyTorch and **~9000x smaller** than TensorFlow, while still providing the core autodiff, neural network layers, and optimizers needed for small-scale experiments and learning.
LeanPass is **~14,000x smaller** than PyTorch and **~40,000x smaller** than TensorFlow, while still providing the core autodiff, neural network layers, and optimizers needed for small-scale experiments and learning.

## Examples

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2 changes: 1 addition & 1 deletion src/pages/index.js
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Expand Up @@ -58,7 +58,7 @@ export default function Home() {
<em>that</em> they flow, you need source code that fits in your head.
</p>
<p>
This is that library. ~500 lines of pure NumPy. Every
This is that library. ~730 lines of pure NumPy. Every
<code>backward()</code> call traces through the graph step by step.
No magic, no abstraction layers, just vector calculus you can read
line by line.
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