Dojo 1.13.6 - as small as it gets (near-perfect GZIP compression)

Choose a version:

The original file has 637149 bytes (622.2k) and is available from the project website.
There you can find the official minified version, too, which brings down the size to 167196 bytes (163.3k, 26%).

After GZIP compression these minified files vary in size:

gzip -6 (default)	56213 bytes (54.9k)	local copy
gzip -9	56151 bytes (54.8k)	local copy
libdeflate -12	53461 bytes (52.2k)	local copy
7zip -mx=9 -tgzip	53435 bytes (52.2k)	local copy
zultra	53393 bytes (52.1k)	local copy
kzip -s0 -rn -b1	53390 bytes (52.1k)	local copy
pigz -11 -n	53356 bytes (52.1k)	local copy
Zopfli	53287 bytes (52.0k)	local copy
Zopfli (defluff)	53283 bytes (52.0k)	local copy

perma-link to the smallest file on my server:
http://minime.stephan-brumme.com/files/dojo/dojo-1.13.6.min.js (or via HTTPS)

You will automatically get the smallest Dojo 1.13.6 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 --mls4 --bsr18 --lazy --ohh

(found March 11, 2022)

Description	Value	Parameter
iterations	1000000	--i1000000
maximum blocks	8	--mb8
maximum length score	4	--mls4
block splitting recursion	18	--bsr18
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 4 more bytes (53283 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-1.13.6/dojo.js --location | md5sum
9679c48bc40813f8949f72242068678c -
curl --silent --compressed https://minime.stephan-brumme.com/files/dojo/dojo-1.13.6.min.zopfli.js.gz | md5sum
9679c48bc40813f8949f72242068678c -

SHA1:
curl --silent --compressed https://download.dojotoolkit.org/release-1.13.6/dojo.js --location | sha1sum
5a72b83b4a1f80919f40f162ffb7c39029044c46 -
curl --silent --compressed https://minime.stephan-brumme.com/files/dojo/dojo-1.13.6.min.zopfli.js.gz | sha1sum
5a72b83b4a1f80919f40f162ffb7c39029044c46 -

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
53287 bytes	-1 byte	zopfli --i1000000 --mls4 --bsr18 --lazy --ohh	March 11, 2022 @ 18:54
53288 bytes	-8 bytes	zopfli --i100000 --mls4 --bsr18 --lazy --ohh	March 4, 2022 @ 11:55
53296 bytes	-2 bytes	zopfli --i10000 --mls4 --bsr18 --lazy --ohh	February 25, 2022 @ 11:02
53298 bytes	-4 bytes	zopfli --i10000 --mls32 --bsr7 --lazy --ohh	February 25, 2022 @ 09:12
53302 bytes	-1 byte	zopfli --i10000 --mls256 --bsr7 --lazy --ohh	February 25, 2022 @ 08:22
53303 bytes	-1 byte	zopfli --i1000 --mls8 --bsr7 --lazy --ohh	February 24, 2022 @ 19:32
53304 bytes	-1 byte	zopfli --i1000 --mls128 --bsr11 --lazy --ohh	February 24, 2022 @ 17:14
53305 bytes	-1 byte	zopfli --i1000 --mls128 --bsr16 --lazy --ohh	February 24, 2022 @ 17:06
53306 bytes	–	zopfli --i100 --mls4 --bsr18 --lazy --ohh	February 24, 2022 @ 15:42

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

Most recent activity on March 12, 2022 @ 09:16.

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	53300	53299	53302	53302	53300	53299	53299	53300	53300	53301	53314	53316	53313	53326	53323
4	53330	53298	53299	53301	53303	53311	53300	53297	53300	53299	53306	53309	53313	53312	53312
6	53332	53299	53299	53298	53299	53299	53297	53308	53305	53297	53303	53304	53304	53317	53311
7	53340	53336	53298	53335	53298	53311	53307	53302	53302	53308	53318	53306	53303	53324	53305
8	53329	53289	53332	53300	53290	53312	53299	53298	53306	53310	53312	53305	53319	53309	53308
9	53306	53289	53298	53300	53298	53302	53297	53298	53302	53304	53306	53303	53304	53324	53313
10	53297	53297	53298	53338	53300	53310	53299	53303	53303	53304	53308	53299	53307	53306	53310
11	53297	53288	53297	53300	53304	53313	53297	53298	53303	53305	53306	53311	53305	53324	53323
12	53325	53324	53323	53299	53300	53300	53299	53297	53303	53304	53305	53305	53303	53313	53316
13	53331	53297	53298	53300	53298	53311	53300	53297	53303	53314	53307	53306	53309	53320	53310
14	53298	53298	53298	53331	53302	53303	53299	53300	53305	53312	53307	53309	53308	53307	53312
15	53289	53298	53299	53300	53297	53303	53300	53299	53306	53291	53316	53306	53308	53316	53313
16	53323	53325	53330	53330	53297	53301	53298	53305	53305	53303	53308	53307	53311	53321	53312
17	53325	53323	53300	53300	53298	53299	53298	53306	53303	53307	53307	53311	53315	53311	53313
18	53297	53287	53298	53299	53297	53301	53297	53299	53303	53305	53307	53306	53307	53313	53306
19	53297	53289	53299	53298	53298	53303	53297	53297	53303	53305	53308	53305	53314	53313	53305
20	53335	53299	53299	53300	53297	53300	53304	53306	53303	53304	53302	53305	53303	53312	53307
21	53325	53323	53324	53299	53300	53301	53297	53289	53303	53305	53308	53309	53303	53321	53311
22	53329	53289	53298	53299	53298	53297	53297	53299	53305	53305	53320	53304	53304	53307	53311
23	53298	53300	53297	53298	53297	53318	53299	53303	53303	53306	53307	53306	53307	53324	53308
25	53329	53323	53324	53300	53297	53288	53306	53298	53304	53304	53308	53306	53306	53309	53317
30	53325	53323	53300	53300	53299	53314	53299	53301	53306	53305	53307	53306	53303	53317	53313
40	53332	53289	53299	53301	53298	53300	53299	53300	53303	53305	53311	53303	53308	53318	53309

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	53306 bytes	–	100%
1,000	53303 bytes	-3 bytes	100%
10,000	53296 bytes	-7 bytes	100%
100,000	53288 bytes	-8 bytes	3.48%
1,000,000	53287 bytes	-1 byte	0.87%
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)	53468 bytes	+181 bytes (+0.34%)	+78 bytes
1	53390 bytes	+103 bytes (+0.19%)	–
2	53421 bytes	+134 bytes (+0.25%)	+31 bytes
3	53439 bytes	+152 bytes (+0.29%)	+49 bytes
4	53468 bytes	+181 bytes (+0.34%)	+78 bytes
5	53473 bytes	+186 bytes (+0.35%)	+83 bytes
6	53465 bytes	+178 bytes (+0.33%)	+75 bytes
7	53502 bytes	+215 bytes (+0.40%)	+112 bytes
8	53531 bytes	+244 bytes (+0.46%)	+141 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	39171 bytes	-14116 bytes (-26.49%)
RAR (proprietary)	RAR	rar a -m5 -md64m -mc63:128t -mt1	46771 bytes	-6516 bytes (-12.23%)
PPMd (Wikipedia)	7zip	7za a -mx=9 -m0=ppmd	47724 bytes	-5563 bytes (-10.44%)
Brotli (Wikipedia)	brotli	brotli -q 11	49182 bytes	-4105 bytes (-7.70%)
LZMA2 (Wikipedia)	xz	xz -9	50280 bytes	-3007 bytes (-5.64%)
Zstandard (Wikipedia)	zstd	zstd -19	51611 bytes	-1676 bytes (-3.15%)
Burrows-Wheeler transform (Wikipedia)	bzip2	bzip2 -9	51934 bytes	-1353 bytes (-2.54%)

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.