Dojo 1.8.14 - as small as it gets (near-perfect GZIP compression)

Choose a version:

The original file has 611897 bytes (597.6k) and is available from the project website.
There you can find the official minified version, too, which brings down the size to 159739 bytes (156.0k, 26%).

After GZIP compression these minified files vary in size:

gzip -6 (default)	54085 bytes (52.8k)	local copy
gzip -9	54034 bytes (52.8k)	local copy
7zip -mx=9 -tgzip	51446 bytes (50.2k)	local copy
libdeflate -12	51393 bytes (50.2k)	local copy
kzip -s0 -rn -b1	51358 bytes (50.2k)	local copy
zultra	51358 bytes (50.2k)	local copy
pigz -11 -n	51355 bytes (50.2k)	local copy
Zopfli	51263 bytes (50.1k)	local copy
Zopfli (defluff)	51262 bytes (50.1k)	local copy

perma-link to the smallest file on my server:
http://minime.stephan-brumme.com/files/dojo/dojo-1.8.14.min.js (or via HTTPS)

You will automatically get the smallest Dojo 1.8.14 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 --mls2 --bsr11 --lazy --ohh

(found March 16, 2022)

Description	Value	Parameter
iterations	1000000	--i1000000
maximum blocks	8	--mb8
maximum length score	2	--mls2
block splitting recursion	11	--bsr11
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 (51262 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-1.8.14/dojo.js --location | md5sum
bac1bfa81d9489d09c10cc1852a4aae4 -
curl --silent --compressed https://minime.stephan-brumme.com/files/dojo/dojo-1.8.14.min.zopfli.js.gz | md5sum
bac1bfa81d9489d09c10cc1852a4aae4 -

SHA1:
curl --silent --compressed https://download.dojotoolkit.org/release-1.8.14/dojo.js --location | sha1sum
57a64edc1c51d6652a5e9e27dcb38ceeeb98ad4b -
curl --silent --compressed https://minime.stephan-brumme.com/files/dojo/dojo-1.8.14.min.zopfli.js.gz | sha1sum
57a64edc1c51d6652a5e9e27dcb38ceeeb98ad4b -

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
51263 bytes	-1 byte	zopfli --i1000000 --mls2 --bsr11 --lazy --ohh	March 16, 2022 @ 14:00
51264 bytes	-1 byte	zopfli --i1000000 --mls8 --bsr16 --lazy --ohh	January 30, 2020 @ 20:28
51265 bytes	-5 bytes	zopfli --i100000 --mls8 --bsr16 --lazy --ohh	July 6, 2018 @ 08:59
51270 bytes	-1 byte	zopfli --i10000 --mls8 --bsr16 --lazy --ohh	July 5, 2018 @ 20:41
51271 bytes	-1 byte	zopfli --i10000 --mls2 --bsr11 --lazy --ohh	July 5, 2018 @ 20:36
51272 bytes	-1 byte	zopfli --i10000 --mls2 --bsr20 --lazy --ohh	July 5, 2018 @ 19:56
51273 bytes	-3 bytes	zopfli --i10000 --mls2 --bsr19 --lazy --ohh	July 5, 2018 @ 19:35
51276 bytes	-1 byte	zopfli --i1000 --mls2 --bsr21 --lazy --ohh	July 5, 2018 @ 16:25
51277 bytes	-5 bytes	zopfli --i1000 --mls2 --bsr30 --lazy --ohh	July 5, 2018 @ 16:24
51282 bytes	–	zopfli --i100 --mls2 --bsr12 --lazy --ohh	July 5, 2018 @ 16:11

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

Most recent activity on March 16, 2022 @ 14:00.

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 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	51277	51287	51279	51282	51277	51285	51281	51283	51288	51284	51300	51299	51300	51304	51309
4	51282	51274	51288	51288	51293	51279	51277	51278	51278	51281	51280	51287	51287	51288	51282
6	51273	51277	51315	51299	51280	51276	51275	51279	51279	51287	51281	51286	51284	51279	51285
7	51276	51314	51320	51318	51280	51281	51282	51278	51279	51290	51283	51288	51282	51279	51279
8	51311	51273	51293	51290	51282	51279	51276	51279	51282	51282	51284	51284	51282	51283	51285
9	51273	51289	51325	51293	51277	51278	51277	51277	51279	51290	51293	51296	51287	51284	51280
10	51281	51277	51309	51281	51286	51281	51277	51281	51281	51281	51281	51288	51284	51281	51294
11	51263	51294	51291	51294	51280	51273	51279	51278	51287	51290	51282	51284	51282	51286	51280
12	51272	51278	51310	51297	51289	51276	51279	51279	51279	51290	51283	51289	51284	51292	51296
13	51310	51275	51319	51289	51279	51279	51276	51278	51286	51288	51322	51287	51285	51277	51298
14	51308	51292	51318	51291	51279	51280	51277	51283	51279	51290	51280	51284	51285	51279	51280
15	51273	51315	51289	51295	51276	51281	51280	51284	51279	51290	51280	51287	51282	51281	51280
16	51280	51288	51264	51290	51280	51281	51276	51281	51279	51288	51281	51287	51282	51283	51281
17	51276	51316	51272	51292	51280	51280	51280	51279	51279	51293	51282	51288	51281	51277	51278
18	51275	51314	51274	51291	51291	51278	51276	51278	51279	51290	51281	51290	51284	51292	51277
19	51273	51316	51296	51290	51293	51281	51276	51279	51282	51288	51284	51289	51286	51277	51288
20	51272	51275	51297	51294	51282	51280	51276	51276	51282	51288	51323	51288	51285	51291	51280
21	51273	51308	51291	51287	51275	51276	51277	51280	51278	51288	51281	51284	51283	51284	51286
22	51279	51273	51313	51315	51278	51277	51284	51279	51280	51290	51282	51288	51285	51279	51293
23	51274	51304	51316	51281	51278	51281	51278	51279	51285	51290	51281	51288	51285	51287	51285
25	51272	51320	51288	51289	51278	51280	51275	51278	51280	51289	51322	51288	51284	51294	51288
30	51273	51317	51314	51288	51282	51276	51278	51281	51279	51292	51282	51284	51284	51283	51284
40	51273	51309	51272	51292	51279	51281	51278	51281	51279	51290	51283	51284	51284	51287	51288

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	51282 bytes	–	100%
1,000	51276 bytes	-6 bytes	100%
10,000	51270 bytes	-6 bytes	100%
100,000	51265 bytes	-5 bytes	0.58%
1,000,000	51263 bytes	-2 bytes	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)	51420 bytes	+157 bytes (+0.31%)	+62 bytes
1	51358 bytes	+95 bytes (+0.19%)	–
2	51386 bytes	+123 bytes (+0.24%)	+28 bytes
3	51421 bytes	+158 bytes (+0.31%)	+63 bytes
4	51423 bytes	+160 bytes (+0.31%)	+65 bytes
5	51467 bytes	+204 bytes (+0.40%)	+109 bytes
6	51477 bytes	+214 bytes (+0.42%)	+119 bytes
7	51490 bytes	+227 bytes (+0.44%)	+132 bytes
8	51506 bytes	+243 bytes (+0.47%)	+148 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	37763 bytes	-13500 bytes (-26.33%)
RAR (proprietary)	RAR	rar a -m5 -md64m -mc63:128t -mt1	45019 bytes	-6244 bytes (-12.18%)
PPMd (Wikipedia)	7zip	7za a -mx=9 -m0=ppmd	45908 bytes	-5355 bytes (-10.45%)
Brotli (Wikipedia)	brotli	brotli -q 11	47256 bytes	-4007 bytes (-7.82%)
LZMA2 (Wikipedia)	xz	xz -9	48292 bytes	-2971 bytes (-5.80%)
Zstandard (Wikipedia)	zstd	zstd -19	49713 bytes	-1550 bytes (-3.02%)
Burrows-Wheeler transform (Wikipedia)	bzip2	bzip2 -9	49910 bytes	-1353 bytes (-2.64%)

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.