Ember 1.3.2 - as small as it gets (near-perfect GZIP compression)

Choose a version:

The original file has 1096237 bytes (1,070.5k) and is available from the project website.
There you can find the official minified version, too, which brings down the size to 254638 bytes (248.7k, 23%).

After GZIP compression these minified files vary in size:

Boot	87049 bytes (85.0k)	CDN
Baidu	72353 bytes (70.7k)	CDN
cdnjs	72333 bytes (70.6k)	CDN
gzip -6 (default)	71361 bytes (69.7k)	local copy
gzip -9	71037 bytes (69.4k)	local copy
7zip -mx=9 -tgzip	68562 bytes (67.0k)	local copy
libdeflate -12	68385 bytes (66.8k)	local copy
pigz -11 -n	68379 bytes (66.8k)	local copy
zultra	68343 bytes (66.7k)	local copy
kzip -s0 -rn -b1	68338 bytes (66.7k)	local copy
Zopfli	68257 bytes (66.7k)	local copy
Zopfli (defluff)	68255 bytes (66.7k)	local copy

perma-link to the smallest file on my server:
http://minime.stephan-brumme.com/files/ember/ember-1.3.2.min.js (or via HTTPS)

You will automatically get the smallest Ember 1.3.2 file, ETag caching is available and
if your browser doesn't support GZIP decompression then the uncompressed version will be sent.

Currently best Zopfli settings

Save 4076 bytes by using my Ember 1.3.2 Zopfli version instead of the best available CDN (5.97% smaller than cdnjs, 68257 vs. 72333 bytes):

Download

You can use my super-compressed files for whatever purpose you like as long as you respect the library's original license agreement.
There are no restrictions from my side - but please avoid hot-linking if you run a high-traffic website.

These command-line settings yielded the best compression ratio so far (Linux version of zopfli-krzymod):
zopfli --i100000 --mb8 --mls256 --bsr22 --lazy --ohh

(found July 25, 2016)

Description	Value	Parameter
iterations	100000	--i100000
maximum blocks	8	--mb8
maximum length score	256	--mls256
block splitting recursion	22	--bsr22
lazy matching in LZ77	yes	--lazy
optimized Huffman headers	yes	--ohh
initial random W for iterations	1	--rw1
initial random Z for iterations	2	--rz2

Even Smaller Files Thanks To Defluff

Zopfli's output can be further optimized by the defluff tool.
In this particular case, defluff saves 2 more bytes (68255 bytes).

Download

Verify file integrity

After decompression, my uncompressed files are identical to the original ones:

MD5:
curl --silent --compressed https://builds.emberjs.com/tags/v1.3.2/ember.min.js --location | md5sum
033978cf1612036725cb4a751d80145b -
curl --silent --compressed https://minime.stephan-brumme.com/files/ember/ember-1.3.2.min.zopfli.js.gz | md5sum
033978cf1612036725cb4a751d80145b -

SHA1:
curl --silent --compressed https://builds.emberjs.com/tags/v1.3.2/ember.min.js --location | sha1sum
eb42a1d71eca183c8ebfb53789533c5cc38b5e42 -
curl --silent --compressed https://minime.stephan-brumme.com/files/ember/ember-1.3.2.min.zopfli.js.gz | sha1sum
eb42a1d71eca183c8ebfb53789533c5cc38b5e42 -

These CDNs send you the original file:

CDN	Size (compressed)	MD5 (uncompressed)	Timestamp
Boot	87049 bytes	033978cf1612036725cb4a751d80145b	March 19, 2015 @ 17:57
cdnjs	72333 bytes	033978cf1612036725cb4a751d80145b	February 8, 2014 @ 18:00

And some CDNs send you a different file:

CDN	Size (compressed)	MD5 (uncompressed)	Comment / Diff	Timestamp
Baidu	72353 bytes	8295f672b3fcb4d1ce2d5e7c09d3dcff	only whitespaces differ	June 5, 2014 @ 10:05

Note: only the MD5 hashes are shown to keep things simple.

Other Versions

Available Ember versions at minime.stephan-brumme.com:

3.0.0,
2.18.2, 2.18.1, 2.18.0,
2.17.2, 2.17.1, 2.17.0,
2.16.2, 2.16.1, 2.16.0,
2.15.3, 2.15.2, 2.15.1, 2.15.0,
2.14.1, 2.14.0,
2.13.4, 2.13.3, 2.13.2, 2.13.1, 2.13.0,
2.12.2, 2.12.1, 2.12.0,
2.11.3, 2.11.2, 2.11.1, 2.11.0,
2.10.2, 2.10.1, 2.10.0,
2.9.1, 2.9.0,
2.8.3, 2.8.2, 2.8.1, 2.8.0,
2.7.3, 2.7.2, 2.7.1, 2.7.0,
2.6.2, 2.6.1, 2.6.0,
2.5.1, 2.5.0,
2.4.6, 2.4.5, 2.4.4, 2.4.3, 2.4.2, 2.4.1, 2.4.0,
2.3.1, 2.3.0,
2.2.2, 2.2.1, 2.2.0,
2.1.2, 2.1.1, 2.1.0,
2.0.3, 2.0.2, 2.0.1, 2.0.0,
1.13.13, 1.13.12, 1.13.11, 1.13.10, 1.13.9, 1.13.8, 1.13.7, 1.13.6, 1.13.5, 1.13.4, 1.13.3, 1.13.2, 1.13.1, 1.13.0,
1.12.2, 1.12.1, 1.12.0,
1.11.4, 1.11.3, 1.11.2, 1.11.1, 1.11.0,
1.10.1, 1.10.0,
1.9.1, 1.9.0,
1.8.1, 1.8.0,
1.7.1, 1.7.0,
1.6.1, 1.6.0,
1.5.1, 1.5.0,
1.4.0,
1.3.2, 1.3.1, 1.3.0,
1.2.2, 1.2.1, 1.2.0,
1.0.1, 1.0.0

The project site contains an overview how well these versions were compressed.
Other interesting projects are AngularJS, BackboneJS, Bootstrap, D3, Dojo, jQuery, Knockout, lodash, React, Socket.IO, ThreeJS, UnderscoreJS and Vue.

Changelog

Best Zopfli parameters so far:

Size	Improvement	Parameters	Found
68257 bytes	-1 byte	zopfli --i100000 --mls256 --bsr22 --lazy --ohh	July 25, 2016 @ 11:49
68258 bytes	-2 bytes	zopfli --i100000 --mls2048 --bsr21 --lazy --ohh	November 21, 2015 @ 09:41
68260 bytes	-1 byte	zopfli --i10000 --mls2048 --bsr21 --lazy --ohh	November 20, 2015 @ 22:56
68261 bytes	-3 bytes	zopfli --i10000 --mls2048 --bsr4 --lazy --ohh	November 20, 2015 @ 22:34
68264 bytes	-42 bytes	zopfli --i1000 --mls512 --bsr13 --lazy --ohh	September 11, 2015 @ 01:45
68306 bytes	–	zopfli --i100 --mls2048 --bsr12 --lazy --ohh	September 10, 2015 @ 13:57

If there are multiple parameter sets yielding the same compressed size, only the first one found is shown.

Most recent activity on July 20, 2020 @ 12:50.

Heatmaps

This Zopfli heatmap visualizes how compression changes when modifying the --bsr and --mls parameter.
Cell's contents is the best filesize achieved (in bytes, hover with mouse over cells to see number of iterations).

Good parameters are green, bad are red. The best and worst are bold as well.
The brightness of the blue background color indicates how many iterations were processed:
10,000 or 100,000.

bsr \ mls	2	4	8	16	32	64	128	256	512	1024	2048	4096	8192	16384	32768
bsr \ mls	2	4	8	16	32	64	128	256	512	1024	2048	4096	8192	16384	32768
2	68266	68267	68278	68265	68277	68263	68262	68261	68265	68265	68266	68271	68268	68269	68263
4	68264	68266	68265	68262	68263	68263	68265	68257	68263	68261	68261	68262	68266	68277	68273
6	68334	68263	68267	68266	68263	68266	68264	68261	68261	68261	68262	68264	68262	68276	68266
7	68263	68264	68263	68267	68266	68266	68266	68263	68259	68261	68258	68263	68264	68270	68264
8	68268	68267	68264	68263	68263	68265	68262	68263	68262	68263	68262	68269	68265	68274	68264
9	68264	68265	68264	68265	68258	68263	68269	68257	68259	68265	68263	68265	68264	68278	68261
10	68262	68265	68263	68267	68262	68263	68264	68261	68259	68261	68259	68265	68265	68270	68265
11	68263	68267	68264	68267	68266	68262	68264	68257	68259	68261	68258	68259	68263	68271	68263
12	68266	68264	68264	68264	68262	68262	68261	68259	68259	68259	68258	68265	68263	68271	68265
13	68262	68263	68265	68264	68265	68266	68265	68257	68259	68261	68258	68265	68263	68271	68264
14	68334	68263	68263	68267	68265	68266	68265	68261	68259	68261	68258	68264	68265	68277	68262
15	68263	68263	68263	68266	68266	68267	68265	68265	68261	68261	68258	68265	68265	68275	68264
16	68262	68264	68265	68266	68264	68266	68261	68259	68261	68259	68262	68264	68262	68272	68269
17	68263	68264	68263	68263	68263	68266	68264	68259	68261	68261	68258	68265	68265	68280	68264
18	68338	68262	68264	68265	68259	68262	68265	68263	68262	68258	68261	68265	68264	68277	68264
19	68264	68263	68263	68265	68265	68262	68264	68257	68261	68262	68258	68265	68270	68270	68266
20	68268	68264	68264	68266	68265	68266	68264	68261	68259	68259	68262	68263	68263	68268	68267
21	68262	68265	68263	68265	68265	68266	68268	68257	68259	68259	68258	68266	68263	68270	68262
22	68264	68264	68264	68267	68258	68266	68265	68257	68259	68259	68258	68265	68264	68278	68262
23	68262	68269	68264	68265	68259	68262	68264	68257	68259	68261	68258	68263	68264	68269	68265
25	68262	68264	68263	68263	68263	68266	68264	68257	68259	68261	68259	68264	68265	68277	68265
30	68263	68267	68263	68265	68262	68264	68264	68261	68261	68258	68259	68265	68264	68280	68269
40	68263	68263	68263	68263	68265	68266	68264	68257	68261	68259	68258	68264	68268	68277	68263

Due to the Monte Carlo design of my search algorithm, not all parameters have reached the same number of iterations yet:

Iterations	Min. Bytes	Reduction	Coverage
100	68304 bytes	–	100%
1,000	68264 bytes	-40 bytes	100%
10,000	68260 bytes	-4 bytes	100%
100,000	68257 bytes	-3 bytes	15.65%
1,000,000	–	–	–
10,000,000	–	–	–

KZIP has far less options available for tuning/optimization. I only played around with the number of blocks (parameter -n):

Blocks	Min. Bytes	Compared To Best Zopfli	Compared To Best KZIP
(any)	68362 bytes	+105 bytes (+0.15%)	+24 bytes
1	68338 bytes	+81 bytes (+0.12%)	–
2	68360 bytes	+103 bytes (+0.15%)	+22 bytes
3	68402 bytes	+145 bytes (+0.21%)	+64 bytes
4	68440 bytes	+183 bytes (+0.27%)	+102 bytes
5	68464 bytes	+207 bytes (+0.30%)	+126 bytes
6	68435 bytes	+178 bytes (+0.26%)	+97 bytes
7	68470 bytes	+213 bytes (+0.31%)	+132 bytes
8	68516 bytes	+259 bytes (+0.38%)	+178 bytes

Non-DEFLATE Algorithms

Archivers based on completely different compression algorithms often produce superior results.
Unfortunately, browsers only support gzip compression at the moment.
However, support for Brotli is constantly growing - for example, your browser actually supports it !

Algorithm	Program	Parameters	Size	Compared To Best Zopfli
ZPAQ (Wikipedia)	zpaq	zpaq -method 69	49600 bytes	-18657 bytes (-27.33%)
RAR (proprietary)	RAR	rar a -m5 -md64m -mc63:128t -mt1	52592 bytes	-15665 bytes (-22.95%)
PPMd (Wikipedia)	7zip	7za a -mx=9 -m0=ppmd	56484 bytes	-11773 bytes (-17.25%)
Burrows-Wheeler transform (Wikipedia)	bzip2	bzip2 -9	59998 bytes	-8259 bytes (-12.10%)
Brotli (Wikipedia)	brotli	brotli -q 11	60859 bytes	-7398 bytes (-10.84%)
LZMA2 (Wikipedia)	xz	xz -9	62612 bytes	-5645 bytes (-8.27%)
Zstandard (Wikipedia)	zstd	zstd -19	64273 bytes	-3984 bytes (-5.84%)

Detailled Analysis

I wrote a DEFLATE decoder in Javascript. Click the button below to start a client-side analysis of the smallest gzipped files (may take a second):

Load and Parse Data

Notes: pigz is a fast open source multi-threaded implementation of gzip written by one of the original authors of gzip.
However, when using compression level 11, pigz actually switches to the slower Zopfli algorithm and isn't multi-threaded anymore.
KrzyMOD's extensions to Zopfli offer the highest level of configuration and is therefore used for my brute-force search.
Ken Silverman wrote the closed-source KZIP compression program and Jonathon Fowler ported it to Linux.
Defluff was created by Joachim Henke; DeflOpt is a tool by Ben Jos Walbeehm.

website made by Stephan Brumme in 2015 and still improving in 2024.
all timestamps are displayed in central european time. see my changelog.
no flash, not even images or external css files - and everything squeezed into a single html file.
which was handsomely compressed before releasing it into the wild internet - obviously.

please visit my homepage and my blog, too.
email: minime (at) stephan-brumme.com

All trademarks are property of their respective owners. You know, the boring legal stuff.