Dojo 1.14.2 - as small as it gets (near-perfect GZIP compression)

Choose a version:

The original file has 638007 bytes (623.1k) and is available from the project website.
There you can find the official minified version, too, which brings down the size to 167162 bytes (163.2k, 26%).

After GZIP compression these minified files vary in size:

gzip -6 (default)	56231 bytes (54.9k)	local copy
gzip -9	56163 bytes (54.8k)	local copy
libdeflate -12	53507 bytes (52.3k)	local copy
7zip -mx=9 -tgzip	53474 bytes (52.2k)	local copy
zultra	53406 bytes (52.2k)	local copy
kzip -s0 -rn -b1	53394 bytes (52.1k)	local copy
pigz -11 -n	53376 bytes (52.1k)	local copy
Zopfli	53296 bytes (52.0k)	local copy
Zopfli (defluff)	53293 bytes (52.0k)	local copy

perma-link to the smallest file on my server:
http://minime.stephan-brumme.com/files/dojo/dojo-1.14.2.min.js (or via HTTPS)

You will automatically get the smallest Dojo 1.14.2 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

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 --mls128 --bsr15 --lazy --ohh

(found October 2, 2018)

Description	Value	Parameter
iterations	1000000	--i1000000
maximum blocks	8	--mb8
maximum length score	128	--mls128
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 3 more bytes (53293 bytes).

Download

Verify file integrity

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

MD5:
curl --silent --compressed https://download.dojotoolkit.org/release-1.14.2/dojo.js --location | md5sum
c013c4f49eca40b192d1e26ac4291b98 -
curl --silent --compressed https://minime.stephan-brumme.com/files/dojo/dojo-1.14.2.min.zopfli.js.gz | md5sum
c013c4f49eca40b192d1e26ac4291b98 -

SHA1:
curl --silent --compressed https://download.dojotoolkit.org/release-1.14.2/dojo.js --location | sha1sum
d73eba27cc1aa4d598e064fb18d488220ed48986 -
curl --silent --compressed https://minime.stephan-brumme.com/files/dojo/dojo-1.14.2.min.zopfli.js.gz | sha1sum
d73eba27cc1aa4d598e064fb18d488220ed48986 -

Other Versions

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

1.17.3, 1.17.2, 1.17.1, 1.17.0,
1.16.5, 1.16.4, 1.16.3, 1.16.2, 1.16.1, 1.16.0,
1.15.6, 1.15.5, 1.15.4, 1.15.3, 1.15.2, 1.15.1, 1.15.0,
1.14.9, 1.14.8, 1.14.7, 1.14.6, 1.14.5, 1.14.4, 1.14.3, 1.14.2, 1.14.1, 1.14.0,
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,
1.12.11, 1.12.10, 1.12.9, 1.12.8, 1.12.7, 1.12.6, 1.12.5, 1.12.4, 1.12.3, 1.12.2, 1.12.1,
1.11.13, 1.11.12, 1.11.11, 1.11.10, 1.11.9, 1.11.8, 1.11.7, 1.11.6, 1.11.5, 1.11.4, 1.11.3, 1.11.2, 1.11.1, 1.11.0,
1.10.10, 1.10.9, 1.10.8, 1.10.7, 1.10.6, 1.10.5, 1.10.4, 1.10.3, 1.10.2, 1.10.1, 1.10.0,
1.9.11, 1.9.10, 1.9.9, 1.9.8, 1.9.7, 1.9.6, 1.9.5, 1.9.4, 1.9.3, 1.9.2, 1.9.1, 1.9.0,
1.8.14, 1.8.13, 1.8.12, 1.8.11, 1.8.10, 1.8.9, 1.8.8, 1.8.7, 1.8.6, 1.8.5, 1.8.4, 1.8.3, 1.8.2, 1.8.1, 1.8.0,
1.7.12, 1.7.11, 1.7.10, 1.7.9, 1.7.8, 1.7.7, 1.7.6, 1.7.5, 1.7.4, 1.7.3, 1.7.2, 1.7.1, 1.7.0,
1.6.5, 1.6.4, 1.6.3, 1.6.2, 1.6.1, 1.6.0,
1.5.6, 1.5.5, 1.5.4, 1.5.3, 1.5.2, 1.5.1, 1.5.0,
1.4.8, 1.4.7, 1.4.6, 1.4.5, 1.4.4, 1.4.3, 1.4.2, 1.4.1, 1.4.0,
1.3.3, 1.3.2, 1.3.1, 1.3.0,
1.2.3, 1.2.2

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

Changelog

Best Zopfli parameters so far:

Size	Improvement	Parameters	Found
53296 bytes	-1 byte	zopfli --i1000000 --mls128 --bsr15 --lazy --ohh	October 2, 2018 @ 18:47
53297 bytes	-1 byte	zopfli --i100000 --mls128 --bsr18 --lazy --ohh	October 1, 2018 @ 17:04
53298 bytes	-6 bytes	zopfli --i100000 --mls128 --bsr23 --lazy --ohh	October 1, 2018 @ 12:13
53304 bytes	-1 byte	zopfli --i10000 --mls128 --bsr40 --lazy --ohh	October 1, 2018 @ 11:05
53305 bytes	-1 byte	zopfli --i10000 --mls8 --bsr25 --lazy --ohh	October 1, 2018 @ 10:31
53306 bytes	-3 bytes	zopfli --i10000 --mls8 --bsr8 --lazy --ohh	October 1, 2018 @ 10:21
53309 bytes	-2 bytes	zopfli --i10000 --mls4 --bsr14 --lazy --ohh	October 1, 2018 @ 10:21
53311 bytes	-2 bytes	zopfli --i1000 --mls256 --bsr6 --lazy --ohh	October 1, 2018 @ 09:50
53313 bytes	-1 byte	zopfli --i1000 --mls256 --bsr19 --lazy --ohh	October 1, 2018 @ 09:50
53314 bytes	–	zopfli --i100 --mls256 --bsr6 --lazy --ohh	October 1, 2018 @ 09:39

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

Most recent activity on February 24, 2022 @ 15:39.

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	53348	53307	53309	53309	53310	53308	53313	53307	53324	53316	53309	53310	53321	53336	53336
4	53342	53346	53311	53310	53310	53321	53309	53306	53315	53311	53318	53313	53320	53329	53316
6	53338	53344	53306	53309	53307	53319	53322	53307	53317	53315	53323	53328	53318	53328	53321
7	53339	53336	53306	53309	53321	53318	53313	53308	53311	53316	53323	53307	53315	53327	53319
8	53349	53338	53306	53346	53309	53319	53297	53307	53322	53314	53327	53313	53323	53319	53324
9	53317	53349	53310	53306	53306	53319	53307	53307	53315	53315	53328	53319	53320	53330	53324
10	53308	53338	53310	53306	53318	53319	53308	53306	53315	53318	53321	53308	53308	53327	53331
11	53353	53342	53346	53338	53308	53319	53307	53309	53315	53314	53318	53307	53319	53328	53316
12	53343	53339	53310	53348	53307	53322	53298	53307	53315	53314	53321	53319	53319	53320	53327
13	53342	53339	53306	53309	53310	53320	53297	53307	53315	53315	53318	53307	53307	53330	53324
14	53306	53309	53343	53308	53310	53320	53297	53307	53316	53316	53321	53313	53319	53332	53315
15	53338	53343	53308	53308	53311	53319	53296	53307	53315	53316	53322	53308	53307	53320	53329
16	53344	53339	53306	53345	53310	53307	53297	53306	53315	53326	53319	53311	53317	53321	53327
17	53337	53339	53309	53347	53310	53307	53298	53306	53316	53314	53321	53311	53319	53321	53326
18	53352	53340	53309	53308	53307	53306	53297	53299	53315	53314	53326	53307	53319	53328	53362
19	53339	53337	53310	53346	53311	53320	53297	53306	53316	53315	53321	53326	53319	53327	53329
20	53337	53341	53308	53308	53308	53321	53297	53316	53315	53315	53317	53311	53320	53328	53332
21	53336	53340	53310	53306	53306	53317	53297	53300	53315	53315	53320	53307	53319	53321	53329
22	53341	53338	53309	53308	53308	53322	53296	53308	53315	53315	53317	53319	53318	53329	53316
23	53308	53341	53343	53338	53307	53319	53298	53307	53315	53315	53320	53307	53318	53321	53326
25	53340	53338	53299	53347	53307	53319	53297	53316	53319	53316	53322	53307	53320	53326	53325
30	53339	53339	53306	53344	53310	53306	53306	53308	53315	53315	53321	53315	53317	53329	53325
40	53341	53352	53310	53339	53310	53319	53298	53298	53315	53315	53317	53313	53319	53322	53325

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	53314 bytes	–	100%
1,000	53311 bytes	-3 bytes	100%
10,000	53304 bytes	-7 bytes	100%
100,000	53297 bytes	-7 bytes	5.51%
1,000,000	53296 bytes	-1 byte	3.19%
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)	53476 bytes	+180 bytes (+0.34%)	+82 bytes
1	53394 bytes	+98 bytes (+0.18%)	–
2	53423 bytes	+127 bytes (+0.24%)	+29 bytes
3	53451 bytes	+155 bytes (+0.29%)	+57 bytes
4	53479 bytes	+183 bytes (+0.34%)	+85 bytes
5	53476 bytes	+180 bytes (+0.34%)	+82 bytes
6	53469 bytes	+173 bytes (+0.32%)	+75 bytes
7	53505 bytes	+209 bytes (+0.39%)	+111 bytes
8	53552 bytes	+256 bytes (+0.48%)	+158 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	39129 bytes	-14167 bytes (-26.58%)
RAR (proprietary)	RAR	rar a -m5 -md64m -mc63:128t -mt1	46770 bytes	-6526 bytes (-12.24%)
PPMd (Wikipedia)	7zip	7za a -mx=9 -m0=ppmd	47726 bytes	-5570 bytes (-10.45%)
Brotli (Wikipedia)	brotli	brotli -q 11	49193 bytes	-4103 bytes (-7.70%)
LZMA2 (Wikipedia)	xz	xz -9	50296 bytes	-3000 bytes (-5.63%)
Zstandard (Wikipedia)	zstd	zstd -19	51739 bytes	-1557 bytes (-2.92%)
Burrows-Wheeler transform (Wikipedia)	bzip2	bzip2 -9	51945 bytes	-1351 bytes (-2.53%)

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 2026.
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.