Dojo 1.11.0 - as small as it gets (near-perfect GZIP compression)

Choose a version:

The original file has 630117 bytes (615.3k) and is available from the project website.
There you can find the official minified version, too, which brings down the size to 164595 bytes (160.7k, 26%).

After GZIP compression these minified files vary in size:

gzip -6 (default)	55579 bytes (54.3k)	local copy
gzip -9	55522 bytes (54.2k)	local copy
libdeflate -12	52869 bytes (51.6k)	local copy
7zip -mx=9 -tgzip	52831 bytes (51.6k)	local copy
zultra	52808 bytes (51.6k)	local copy
pigz -11 -n	52799 bytes (51.6k)	local copy
kzip -s0 -rn -b1	52790 bytes (51.6k)	local copy
Zopfli	52697 bytes (51.5k)	local copy
Zopfli (defluff)	52693 bytes (51.5k)	local copy

perma-link to the smallest file on my server:
http://minime.stephan-brumme.com/files/dojo/dojo-1.11.0.min.js (or via HTTPS)

You will automatically get the smallest Dojo 1.11.0 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 --mls32 --bsr40 --lazy --ohh

(found March 22, 2016)

Description	Value	Parameter
iterations	1000000	--i1000000
maximum blocks	8	--mb8
maximum length score	32	--mls32
block splitting recursion	40	--bsr40
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 (52693 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-1.11.0/dojo.js --location | md5sum
de81bd1f2091dbfc94eb1fc631ec6a50 -
curl --silent --compressed https://minime.stephan-brumme.com/files/dojo/dojo-1.11.0.min.zopfli.js.gz | md5sum
de81bd1f2091dbfc94eb1fc631ec6a50 -

SHA1:
curl --silent --compressed https://download.dojotoolkit.org/release-1.11.0/dojo.js --location | sha1sum
63e622f94c76c4b7b1663ad4baa948e7e93d11ed -
curl --silent --compressed https://minime.stephan-brumme.com/files/dojo/dojo-1.11.0.min.zopfli.js.gz | sha1sum
63e622f94c76c4b7b1663ad4baa948e7e93d11ed -

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
52697 bytes	-4 bytes	zopfli --i1000000 --mls32 --bsr40 --lazy --ohh	March 22, 2016 @ 04:02
52701 bytes	-1 byte	zopfli --i100000 --mls32 --bsr40 --lazy --ohh	March 21, 2016 @ 17:07
52702 bytes	-1 byte	zopfli --i100000 --mls2 --bsr11 --lazy --ohh	March 21, 2016 @ 15:28
52703 bytes	-1 byte	zopfli --i100000 --mls128 --bsr2 --lazy --ohh	March 21, 2016 @ 14:39
52704 bytes	-3 bytes	zopfli --i100000 --mls32 --bsr12 --lazy --ohh	March 21, 2016 @ 13:39
52707 bytes	-1 byte	zopfli --i10000 --mls32 --bsr12 --lazy --ohh	March 21, 2016 @ 12:19
52708 bytes	-1 byte	zopfli --i10000 --mls2 --bsr11 --lazy --ohh	March 21, 2016 @ 10:54
52709 bytes	-7 bytes	zopfli --i10000 --mls128 --bsr10 --lazy --ohh	March 21, 2016 @ 10:24
52716 bytes	-2 bytes	zopfli --i1000 --mls128 --bsr10 --lazy --ohh	March 21, 2016 @ 10:18
52718 bytes	-2 bytes	zopfli --i1000 --mls8 --bsr25 --lazy --ohh	March 21, 2016 @ 10:16
52720 bytes	–	zopfli --i100 --mls8 --bsr25 --lazy --ohh	March 21, 2016 @ 10:06

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

Most recent activity on March 7, 2022 @ 03:00.

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, 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	52711	52711	52711	52713	52712	52709	52703	52719	52716	52719	52723	52712	52724	52737	52730
4	52745	52713	52712	52710	52703	52710	52711	52719	52717	52714	52708	52713	52719	52717	52718
6	52748	52744	52711	52713	52711	52725	52723	52721	52721	52722	52707	52709	52711	52717	52726
7	52710	52746	52751	52713	52709	52702	52710	52717	52723	52718	52716	52712	52712	52712	52713
8	52742	52744	52711	52710	52712	52710	52713	52718	52721	52720	52714	52725	52722	52719	52723
9	52712	52710	52709	52712	52704	52710	52724	52709	52717	52722	52718	52712	52711	52716	52721
10	52710	52709	52743	52712	52710	52710	52709	52712	52716	52721	52716	52714	52710	52711	52723
11	52702	52711	52710	52709	52709	52709	52711	52711	52718	52720	52716	52712	52721	52711	52725
12	52742	52744	52710	52721	52704	52709	52704	52716	52722	52718	52717	52712	52719	52731	52724
13	52713	52744	52712	52712	52709	52709	52712	52710	52722	52720	52718	52712	52718	52720	52726
14	52698	52704	52705	52712	52707	52702	52726	52718	52716	52719	52717	52712	52720	52725	52725
15	52711	52744	52711	52711	52707	52709	52704	52716	52720	52718	52713	52706	52714	52711	52720
16	52744	52739	52740	52712	52709	52709	52713	52711	52717	52724	52713	52712	52716	52712	52721
17	52743	52745	52710	52712	52701	52709	52712	52718	52717	52721	52719	52716	52718	52716	52721
18	52712	52738	52711	52711	52709	52711	52712	52718	52716	52720	52716	52713	52714	52711	52721
19	52712	52750	52710	52714	52709	52711	52710	52711	52718	52718	52720	52712	52720	52720	52723
20	52710	52746	52711	52711	52709	52711	52712	52716	52718	52719	52717	52712	52719	52720	52720
21	52739	52745	52710	52741	52703	52709	52713	52714	52716	52721	52713	52712	52721	52717	52724
22	52742	52739	52710	52714	52709	52709	52711	52710	52716	52722	52717	52712	52718	52716	52719
23	52709	52704	52711	52712	52709	52714	52712	52709	52719	52721	52705	52712	52718	52710	52720
25	52712	52750	52710	52713	52709	52709	52710	52711	52716	52719	52714	52713	52711	52716	52719
30	52741	52741	52710	52711	52709	52710	52712	52713	52708	52719	52716	52711	52726	52719	52721
40	52743	52732	52712	52714	52697	52709	52709	52713	52716	52720	52708	52713	52718	52720	52724

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	52720 bytes	–	100%
1,000	52715 bytes	-5 bytes	100%
10,000	52707 bytes	-8 bytes	100%
100,000	52701 bytes	-6 bytes	11.59%
1,000,000	52697 bytes	-4 bytes	1.16%
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)	52873 bytes	+176 bytes (+0.33%)	+83 bytes
1	52790 bytes	+93 bytes (+0.18%)	–
2	52798 bytes	+101 bytes (+0.19%)	+8 bytes
3	52831 bytes	+134 bytes (+0.25%)	+41 bytes
4	52873 bytes	+176 bytes (+0.33%)	+83 bytes
5	52915 bytes	+218 bytes (+0.41%)	+125 bytes
6	52934 bytes	+237 bytes (+0.45%)	+144 bytes
7	52971 bytes	+274 bytes (+0.52%)	+181 bytes
8	52984 bytes	+287 bytes (+0.54%)	+194 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	38816 bytes	-13881 bytes (-26.34%)
RAR (proprietary)	RAR	rar a -m5 -md64m -mc63:128t -mt1	46277 bytes	-6420 bytes (-12.18%)
PPMd (Wikipedia)	7zip	7za a -mx=9 -m0=ppmd	47170 bytes	-5527 bytes (-10.49%)
Brotli (Wikipedia)	brotli	brotli -q 11	48620 bytes	-4077 bytes (-7.74%)
LZMA2 (Wikipedia)	xz	xz -9	49736 bytes	-2961 bytes (-5.62%)
Zstandard (Wikipedia)	zstd	zstd -19	51239 bytes	-1458 bytes (-2.77%)
Burrows-Wheeler transform (Wikipedia)	bzip2	bzip2 -9	51378 bytes	-1319 bytes (-2.50%)

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.