Ember 2.7.3 - as small as it gets (near-perfect GZIP compression)

Choose a version:

The original file has 1649759 bytes (1,611.1k) and is available from the project website.
There you can find the official minified version, too, which brings down the size to 427474 bytes (417.5k, 26%).

After GZIP compression these minified files vary in size:

Boot	138790 bytes (135.5k)	CDN
cdnjs	113909 bytes (111.2k)	CDN
gzip -6 (default)	112278 bytes (109.6k)	local copy
gzip -9	111911 bytes (109.3k)	local copy
7zip -mx=9 -tgzip	108040 bytes (105.5k)	local copy
zultra	108008 bytes (105.5k)	local copy
pigz -11 -n	107904 bytes (105.4k)	local copy
libdeflate -12	107850 bytes (105.3k)	local copy
kzip -s0 -rn -b0	107687 bytes (105.2k)	local copy
Zopfli	107655 bytes (105.1k)	local copy
Zopfli (defluff)	107654 bytes (105.1k)	local copy

perma-link to the smallest file on my server:
http://minime.stephan-brumme.com/files/ember/ember-2.7.3.min.js (or via HTTPS)

You will automatically get the smallest Ember 2.7.3 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 6254 bytes by using my Ember 2.7.3 Zopfli version instead of the best available CDN (5.81% smaller than cdnjs, 107655 vs. 113909 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 --i1000000 --mb8 --mls8 --bsr15 --lazy --ohh

(found September 9, 2016)

Description	Value	Parameter
iterations	1000000	--i1000000
maximum blocks	8	--mb8
maximum length score	8	--mls8
block splitting recursion	15	--bsr15
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 1 more byte (107654 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/v2.7.3/ember.min.js --location | md5sum
35114566d64208bb1e3df3d759ef0619 -
curl --silent --compressed https://minime.stephan-brumme.com/files/ember/ember-2.7.3.min.zopfli.js.gz | md5sum
35114566d64208bb1e3df3d759ef0619 -

SHA1:
curl --silent --compressed https://builds.emberjs.com/tags/v2.7.3/ember.min.js --location | sha1sum
81ae21a3d0540d019a2450ec7419c9ad01341cad -
curl --silent --compressed https://minime.stephan-brumme.com/files/ember/ember-2.7.3.min.zopfli.js.gz | sha1sum
81ae21a3d0540d019a2450ec7419c9ad01341cad -

All listed CDNs deliver identical contents:

CDN	Size (compressed)	MD5 (uncompressed)	Timestamp
Boot	138790 bytes	35114566d64208bb1e3df3d759ef0619	September 8, 2016 @ 19:43
cdnjs	113909 bytes	35114566d64208bb1e3df3d759ef0619	September 7, 2016 @ 00:31

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
107655 bytes	-1 byte	zopfli --i1000000 --mls8 --bsr15 --lazy --ohh	September 9, 2016 @ 01:21
107656 bytes	-11 bytes	zopfli --i100000 --mls32 --bsr23 --lazy --ohh	September 7, 2016 @ 12:55
107667 bytes	-1 byte	zopfli --i10000 --mls32 --bsr23 --lazy --ohh	September 7, 2016 @ 10:57
107668 bytes	-8 bytes	zopfli --i10000 --mls256 --bsr25 --lazy --ohh	September 7, 2016 @ 10:56
107676 bytes	-9 bytes	zopfli --i1000 --mls256 --bsr30 --lazy --ohh	September 7, 2016 @ 10:43
107685 bytes	-1 byte	zopfli --i1000 --mls32 --bsr23 --lazy --ohh	September 7, 2016 @ 10:37
107686 bytes	–	zopfli --i100 --mls256 --bsr18 --lazy --ohh	September 7, 2016 @ 10:28

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 @ 12:47.

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, 100,000 or 1,000,000.

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	107675	107666	107676	107673	107674	107678	107675	107675	107673	107673	107678	107673	107672	107679	107672
4	107670	107673	107670	107670	107670	107668	107670	107670	107676	107674	107676	107667	107683	107687	107677
6	107671	107666	107667	107668	107670	107665	107668	107670	107671	107667	107671	107670	107677	107681	107683
7	107666	107666	107673	107665	107670	107687	107667	107668	107670	107670	107674	107670	107676	107677	107681
8	107667	107670	107671	107665	107658	107670	107667	107671	107665	107668	107670	107679	107679	107672	107683
9	107675	107668	107674	107668	107665	107668	107668	107668	107676	107665	107672	107681	107677	107684	107683
10	107671	107666	107665	107665	107667	107665	107667	107671	107681	107666	107681	107670	107671	107677	107683
11	107670	107668	107667	107665	107670	107665	107668	107670	107670	107670	107673	107670	107682	107677	107682
12	107670	107670	107674	107671	107665	107665	107667	107667	107681	107667	107672	107670	107677	107679	107681
13	107670	107670	107665	107665	107665	107665	107667	107668	107670	107666	107665	107670	107681	107673	107682
14	107670	107666	107665	107665	107665	107665	107667	107671	107681	107668	107674	107680	107677	107676	107683
15	107671	107666	107655	107665	107665	107665	107667	107671	107668	107665	107667	107670	107677	107676	107680
16	107674	107670	107673	107667	107665	107665	107669	107671	107677	107676	107674	107676	107671	107679	107678
17	107670	107668	107665	107665	107668	107658	107665	107674	107681	107674	107673	107680	107677	107678	107682
18	107668	107665	107671	107665	107672	107665	107665	107668	107673	107666	107659	107665	107678	107677	107686
19	107670	107668	107665	107671	107672	107673	107670	107671	107671	107676	107675	107673	107666	107684	107679
20	107670	107670	107674	107670	107668	107665	107668	107668	107671	107673	107672	107681	107666	107679	107683
21	107670	107670	107665	107670	107667	107668	107668	107671	107664	107665	107683	107681	107677	107680	107682
22	107671	107666	107673	107670	107667	107665	107669	107668	107668	107666	107683	107680	107682	107683	107682
23	107670	107670	107667	107665	107656	107665	107668	107671	107671	107666	107667	107680	107677	107678	107682
25	107670	107670	107667	107665	107667	107665	107667	107668	107681	107665	107675	107680	107666	107679	107681
30	107670	107668	107673	107671	107665	107667	107665	107669	107671	107665	107676	107668	107682	107683	107680
40	107670	107668	107667	107667	107672	107665	107667	107671	107670	107666	107672	107679	107677	107684	107681

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	107686 bytes	–	100%
1,000	107676 bytes	-10 bytes	100%
10,000	107663 bytes	-13 bytes	100%
100,000	107656 bytes	-7 bytes	1.45%
1,000,000	107655 bytes	-1 byte	0.58%
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)	107687 bytes	+32 bytes (+0.03%)	–
1	107708 bytes	+53 bytes (+0.05%)	+21 bytes
2	107739 bytes	+84 bytes (+0.08%)	+52 bytes
3	107705 bytes	+50 bytes (+0.05%)	+18 bytes
4	107756 bytes	+101 bytes (+0.09%)	+69 bytes
5	107801 bytes	+146 bytes (+0.14%)	+114 bytes
6	107838 bytes	+183 bytes (+0.17%)	+151 bytes
7	107874 bytes	+219 bytes (+0.20%)	+187 bytes
8	107936 bytes	+281 bytes (+0.26%)	+249 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	73878 bytes	-33777 bytes (-31.38%)
RAR (proprietary)	RAR	rar a -m5 -md64m -mc63:128t -mt1	78913 bytes	-28742 bytes (-26.70%)
PPMd (Wikipedia)	7zip	7za a -mx=9 -m0=ppmd	85341 bytes	-22314 bytes (-20.73%)
Burrows-Wheeler transform (Wikipedia)	bzip2	bzip2 -9	89973 bytes	-17682 bytes (-16.42%)
Brotli (Wikipedia)	brotli	brotli -q 11	93988 bytes	-13667 bytes (-12.70%)
LZMA2 (Wikipedia)	xz	xz -9	96120 bytes	-11535 bytes (-10.71%)
Zstandard (Wikipedia)	zstd	zstd -19	98761 bytes	-8894 bytes (-8.26%)

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.