Docs: Keywords and downloads

Author: ashvardanian

README.md

@@ -1,7 +1,7 @@
 # SimSIMD 📏
 
 <div>
-<a href="https://pypi.org/project/simsimd/"> <img alt="PyPI - Downloads" src="https://img.shields.io/pypi/dm/simsimd?label=pypi%20downloads"> </a>
+<a href="https://pepy.tech/project/simsimd"> <img alt="PyPI" src="https://static.pepy.tech/personalized-badge/simsimd?period=month&units=abbreviation&left_color=black&right_color=blue&left_text=Python%20monthly%20installs"> </a>
 <a href="https://www.npmjs.com/package/simsimd"> <img alt="npm" src="https://img.shields.io/npm/dy/simsimd?label=npm%20dowloads"> </a>
 <img alt="GitHub code size in bytes" src="https://img.shields.io/github/languages/code-size/ashvardanian/simsimd">
 </div>

package.json

@@ -1,10 +1,27 @@
 {
   "name": "simsimd",
   "version": "3.5.4",
-  "description": "Vector Similarity Functions 3x-200x Faster than SciPy and NumPy",
+  "description": "Fastest SIMD-Accelerated Vector Similarity Functions for x86 and Arm",
+  "homepage": "https://github.com/ashvardanian/simsimd",
   "author": "Ash Vardanian",
   "license": "Apache 2.0",
   "main": "javascript/simsimd.js",
+  "keywords": [
+    "vector",
+    "distance",
+    "similarity",
+    "search",
+    "ai",
+    "math",
+    "avx2",
+    "avx512",
+    "neon",
+    "sve",
+    "arm",
+    "x86",
+    "simd",
+    "f16"
+  ],
   "type": "module",
   "scripts": {
     "test": "node --test ./javascript/test",
@@ -26,4 +43,4 @@
     "typescript": "^5.1.6",
     "usearch": "^2.7.2"
   }
-}
+}

python/lib.c

@@ -476,7 +476,7 @@ static PyMethodDef simsimd_methods[] = {
 static PyModuleDef simsimd_module = {
     PyModuleDef_HEAD_INIT,
     .m_name = "SimSIMD",
-    .m_doc = "Vector Similarity Functions 3x-200x Faster than SciPy and NumPy",
+    .m_doc = "Fastest SIMD-Accelerated Vector Similarity Functions for x86 and Arm",
     .m_size = -1,
     .m_methods = simsimd_methods,
 };

setup.py

@@ -1,10 +1,8 @@
 import os
 import sys
-import platform
 from os.path import dirname
 from setuptools import setup, Extension
 
-import glob
 import numpy
 
 __version__ = open("VERSION", "r").read().strip()
@@ -68,7 +66,7 @@
     author="Ash Vardanian",
     author_email="[email protected]",
     url="https://github.com/ashvardanian/simsimd",
-    description="Vector Similarity Functions 3x-200x Faster than SciPy and NumPy",
+    description="Fastest SIMD-Accelerated Vector Similarity Functions for x86 and Arm",
     long_description=long_description,
     long_description_content_type="text/markdown",
     license="Apache-2.0",