Choose a version:
26% The original file has 633236 bytes (618.4k) and is available from the project website.
There you can find the official minified version, too, which brings down the size to 165988 bytes (162.1k, 26%).

After GZIP compression these minified files vary in size:
gzip -6 (default)
  55957 bytes (54.6k)
local copy
gzip -9
  55900 bytes (54.6k)
local copy
libdeflate -12
  53261 bytes (52.0k)
local copy
7zip -mx=9 -tgzip
  53237 bytes (52.0k)
local copy
zultra
  53165 bytes (51.9k)
local copy
kzip -s0 -rn -b1
  53155 bytes (51.9k)
local copy
pigz -11 -n
  53149 bytes (51.9k)
local copy
Zopfli
  53066 bytes (51.8k)
local copy
Zopfli (defluff)
  53062 bytes (51.8k)
local copy

perma-link to the smallest file on my server:
http://minime.stephan-brumme.com/files/dojo/dojo-1.12.11.min.js (or via HTTPS)

You will automatically get the smallest Dojo 1.12.11 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 --i100000 --mb8 --mls128 --bsr14 --lazy --ohh

(found March 4, 2022)
Description Value Parameter
iterations 100000  --i100000
maximum blocks 8  --mb8
maximum length score 128  --mls128
block splitting recursion 14  --bsr14
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 (53062 bytes).

Verify file integrity

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

MD5:
curl --silent --compressed https://download.dojotoolkit.org/release-1.12.11/dojo.js --location | md5sum
1881b6061ab66ed637c47673e2deb96b  -
curl --silent --compressed https://minime.stephan-brumme.com/files/dojo/dojo-1.12.11.min.zopfli.js.gz | md5sum
1881b6061ab66ed637c47673e2deb96b  -

SHA1:
curl --silent --compressed https://download.dojotoolkit.org/release-1.12.11/dojo.js --location | sha1sum
355a0d9a49d863265f13eed24fa12323862bffee  -
curl --silent --compressed https://minime.stephan-brumme.com/files/dojo/dojo-1.12.11.min.zopfli.js.gz | sha1sum
355a0d9a49d863265f13eed24fa12323862bffee  -

Other Versions

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

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
53066 bytes -6 bytes zopfli --i100000 --mls128 --bsr14 --lazy --ohh March 4, 2022 @ 22:01
53072 bytes -6 bytes zopfli --i10000 --mls128 --bsr14 --lazy --ohh February 25, 2022 @ 05:40
53078 bytes -1 byte zopfli --i1000 --mls8 --bsr14 --lazy --ohh February 24, 2022 @ 22:02
53079 bytes zopfli --i100 --mls2 --bsr2 --lazy --ohh February 24, 2022 @ 15:41

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

Most recent activity on March 14, 2022 @ 18:03.

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
53077 53077 53076 53080 53080 53075 53075 53075 53075 53077 53086 53085 53089 53103 53097
53114 53075 53074 53078 53091 53078 53074 53075 53081 53088 53086 53088 53089 53087 53101
53116 53119 53077 53076 53082 53075 53079 53081 53082 53095 53095 53083 53087 53088 53087
53111 53115 53083 53114 53075 53075 53067 53084 53082 53078 53097 53084 53087 53090 53085
53106 53102 53074 53076 53074 53086 53078 53075 53081 53089 53087 53086 53092 53084 53086
53118 53115 53075 53080 53079 53078 53067 53080 53081 53094 53085 53088 53089 53086 53087
53116 53106 53073 53112 53077 53073 53084 53081 53081 53085 53098 53077 53089 53075 53091
53109 53106 53074 53076 53080 53075 53073 53073 53077 53088 53085 53086 53088 53076 53084
53076 53111 53074 53110 53078 53080 53073 53077 53082 53089 53085 53087 53087 53090 53092
53103 53107 53075 53076 53079 53081 53067 53074 53081 53085 53096 53084 53092 53087 53091
53073 53074 53071 53077 53083 53079 53066 53078 53081 53090 53097 53083 53088 53086 53086
53108 53108 53067 53076 53073 53076 53079 53082 53089 53088 53097 53083 53087 53090 53088
53078 53074 53080 53074 53075 53078 53078 53078 53081 53088 53083 53087 53087 53095 53091
53107 53106 53081 53077 53076 53077 53079 53081 53082 53088 53085 53083 53088 53088 53088
53109 53106 53076 53077 53079 53078 53073 53081 53082 53087 53097 53084 53086 53091 53092
53073 53115 53073 53077 53079 53091 53074 53075 53081 53088 53085 53078 53088 53092 53088
53110 53104 53074 53076 53079 53077 53073 53081 53081 53098 53097 53085 53082 53089 53097
53108 53099 53075 53075 53079 53076 53079 53076 53082 53090 53087 53083 53089 53088 53091
53109 53115 53075 53076 53083 53081 53067 53075 53088 53088 53100 53085 53082 53079 53087
53110 53115 53074 53112 53074 53073 53074 53080 53088 53085 53086 53076 53084 53096 53088
53104 53103 53076 53076 53074 53078 53073 53081 53088 53088 53086 53085 53088 53094 53088
53102 53103 53077 53075 53076 53073 53074 53080 53082 53088 53096 53088 53087 53079 53088
53108 53104 53067 53075 53075 53071 53074 53080 53081 53088 53097 53088 53092 53088 53086

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 53079 bytes 100%
1,000 53078 bytes -1 byte 100%
10,000 53072 bytes -6 bytes 100%
100,000 53066 bytes -6 bytes 2.61%
1,000,000 53066 bytes 0.29%
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
53188 bytes +122 bytes (+0.23%) +33 bytes
53155 bytes +89 bytes (+0.17%)
53188 bytes +122 bytes (+0.23%) +33 bytes
53219 bytes +153 bytes (+0.29%) +64 bytes
53246 bytes +180 bytes (+0.34%) +91 bytes
53274 bytes +208 bytes (+0.39%) +119 bytes
53320 bytes +254 bytes (+0.48%) +165 bytes
53323 bytes +257 bytes (+0.48%) +168 bytes
53323 bytes +257 bytes (+0.48%) +168 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 39003 bytes -14063 bytes (-26.50%)
RAR (proprietary) RAR rar a -m5 -md64m -mc63:128t -mt1 46552 bytes -6514 bytes (-12.28%)
PPMd (Wikipedia) 7zip 7za a -mx=9 -m0=ppmd 47536 bytes -5530 bytes (-10.42%)
Brotli (Wikipedia) brotli brotli -q 11 48999 bytes -4067 bytes (-7.66%)
LZMA2 (Wikipedia) xz xz -9 50064 bytes -3002 bytes (-5.66%)
Zstandard (Wikipedia) zstd zstd -19 51376 bytes -1690 bytes (-3.18%)
Burrows-Wheeler transform (Wikipedia) bzip2 bzip2 -9 51711 bytes -1355 bytes (-2.55%)

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):


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 2022.
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.