sharp - npm Package Compare versions

Comparing version 0.0.2 to 0.0.3

package.json

 {
   "name": "sharp",
-  "version": "0.0.2",
+  "version": "0.0.3",
   "main": "index.js",
@@ -18,3 +18,3 @@ "description": "High performance Node.js module to resize JPEG images using the libvips image processing library",
   "engines": {
-    "node": "*"
+    "node": ">=0.8"
   },
@@ -21,0 +21,0 @@ "keywords": [

README.md

@@ -1,2 +0,2 @@
-# sharp
+# sharp
 
@@ -10,3 +10,3 @@ _adj_
 
-The typical use case for this high performance Node.js module is to convert a large JPEG image to smaller JPEG images of varying dimensions.
+The typical use case for this high speed Node.js module is to convert a large JPEG image to smaller JPEG images of varying dimensions.
 
@@ -17,7 +17,7 @@ It is somewhat opinionated in that it only deals with JPEG images, always obeys the requested dimensions by either cropping or embedding and insists on a mild sharpen of the resulting image.
 
-Speed is typically 4x faster than the imagemagick equivalent.
+Performance is 4x-8x faster than the imagemagick equivalent, based mainly on the number of CPU cores available.
 
 ## Prerequisites
 
-Requires node-gyp and libvips-dev to build.
+Requires Node.js v0.8+, node-gyp and libvips-dev to build.
 
@@ -43,3 +43,3 @@ sudo npm install -g node-gyp
 
-  var sharp = require("sharp");
+	var sharp = require("sharp");
 
@@ -71,3 +71,3 @@ ### crop(inputPath, outputPath, width, height, callback)
   }
-  // output.jpg is a 300 pixels wide and 200 pixels high image
+  // output.jpg is a 200 pixels wide and 300 pixels high image
   // containing a scaled version of input.jpg embedded on a white canvas
@@ -86,3 +86,3 @@ });
   }
-  // output.jpg is a 300 pixels wide and 200 pixels high image
+  // output.jpg is a 200 pixels wide and 300 pixels high image
   // containing a scaled version of input.jpg embedded on a black canvas
@@ -94,2 +94,3 @@ });
 
+	npm install --dev sharp
 	npm test
@@ -99,5 +100,25 @@
 
-Using an AMD Athlon quad core CPU with 512KB L2 cache clocked at 3.3GHz with 8GB RAM:
+### AMD Athlon 4x core 3.3GHz 512KB L2
 
-* imagemagick x 5.55 ops/sec �0.68% (31 runs sampled)
-* sharp x 24.49 ops/sec �6.85% (64 runs sampled)
+* imagemagick x 5.55 ops/sec ±0.68% (31 runs sampled)
+* sharp x 24.49 ops/sec ±6.85% (64 runs sampled)
+
+### AWS t1.micro
+
+* imagemagick x 1.36 ops/sec ±0.96% (11 runs sampled)
+* sharp x 12.42 ops/sec ±5.84% (64 runs sampled)
+
+### AWS m1.medium
+
+* imagemagick x 1.38 ops/sec ±0.45% (11 runs sampled)
+* sharp x 12.66 ops/sec ±5.54% (65 runs sampled)
+
+### AWS c1.medium
+
+* imagemagick x 2.10 ops/sec ±0.67% (15 runs sampled)
+* sharp x 18.97 ops/sec ±10.54% (52 runs sampled)
+
+### AWS m3.xlarge
+
+* imagemagick x 4.46 ops/sec ±0.33% (26 runs sampled)
+* sharp x 28.89 ops/sec ±7.75% (74 runs sampled)

No alert changes

Improved metrics

Total package byte prevSize

853894

increased by0.07%

Number of lines in readme file

118

increased by21.65%

No dependency changes