Choose a version:
26% The original file has 637504 bytes (622.6k) and is available from the project website.
There you can find the official minified version, too, which brings down the size to 167410 bytes (163.5k, 26%).

After GZIP compression these minified files vary in size:
gzip -6 (default)
  56269 bytes (55.0k)
 local copy
gzip -9
  56207 bytes (54.9k)
 local copy
7zip -mx=9 -tgzip
  53542 bytes (52.3k)
 local copy
libdeflate -12
  53535 bytes (52.3k)
 local copy
kzip -s0 -rn -b1
  53477 bytes (52.2k)
 local copy
zultra
  53466 bytes (52.2k)
 local copy
pigz -11 -n
  53463 bytes (52.2k)
 local copy
Zopfli
  53376 bytes (52.1k)
 local copy
Zopfli (defluff)
  53375 bytes (52.1k)
 local copy

perma-link to the smallest file on my server:
http://minime.stephan-brumme.com/files/dojo/dojo-1.13.10.min.js (or via HTTPS)

You will automatically get the smallest Dojo 1.13.10 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 --mls256 --bsr11 --lazy --ohh

(found March 7, 2022)
Description Value Parameter
iterations 1000000  --i1000000
maximum blocks 8  --mb8
maximum length score 256  --mls256
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 (53375 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-1.13.10/dojo.js --location | md5sum
73e30c90488c659844918ff1d9d363e9  -
curl --silent --compressed https://minime.stephan-brumme.com/files/dojo/dojo-1.13.10.min.zopfli.js.gz | md5sum
73e30c90488c659844918ff1d9d363e9  -

SHA1:
curl --silent --compressed https://download.dojotoolkit.org/release-1.13.10/dojo.js --location | sha1sum
1d9deecd40ab016ec0081a206e7cf92b5db48f0c  -
curl --silent --compressed https://minime.stephan-brumme.com/files/dojo/dojo-1.13.10.min.zopfli.js.gz | sha1sum
1d9deecd40ab016ec0081a206e7cf92b5db48f0c  -

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
53376 bytes -2 bytes zopfli --i1000000 --mls256 --bsr11 --lazy --ohh March 7, 2022 @ 19:40
53378 bytes -1 byte zopfli --i100000 --mls256 --bsr25 --lazy --ohh March 5, 2022 @ 01:45
53379 bytes -2 bytes zopfli --i100000 --mls512 --bsr2 --lazy --ohh March 4, 2022 @ 22:57
53381 bytes -2 bytes zopfli --i10000 --mls512 --bsr2 --lazy --ohh February 25, 2022 @ 14:49
53383 bytes -1 byte zopfli --i10000 --mls8 --bsr22 --lazy --ohh February 25, 2022 @ 13:07
53384 bytes -4 bytes zopfli --i10000 --mls8 --bsr18 --lazy --ohh February 25, 2022 @ 09:00
53388 bytes -1 byte zopfli --i1000 --mls512 --bsr2 --lazy --ohh February 24, 2022 @ 22:00
53389 bytes -1 byte zopfli --i1000 --mls4 --bsr9 --lazy --ohh February 24, 2022 @ 17:56
53390 bytes -1 byte zopfli --i1000 --mls8 --bsr15 --lazy --ohh February 24, 2022 @ 17:43
53391 bytes – zopfli --i100 --mls4 --bsr8 --lazy --ohh February 24, 2022 @ 15:30

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

Most recent activity on March 9, 2022 @ 18:19.

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 53386 53390 53387 53387 53384 53385 53386 53387 53379 53391 53400 53401 53382 53407 53414
4 53409 53405 53385 53394 53389 53391 53392 53383 53391 53388 53394 53392 53390 53395 53389
6 53421 53386 53384 53383 53384 53392 53387 53392 53391 53387 53386 53395 53385 53393 53393
7 53412 53422 53414 53387 53384 53396 53382 53391 53391 53388 53410 53394 53387 53400 53390
8 53387 53384 53384 53385 53386 53395 53383 53384 53394 53396 53394 53395 53392 53393 53391
9 53388 53384 53387 53388 53388 53390 53387 53387 53387 53387 53394 53394 53391 53397 53389
10 53383 53384 53384 53417 53389 53393 53387 53386 53391 53393 53393 53395 53395 53389 53389
11 53386 53384 53384 53386 53392 53394 53382 53376 53388 53390 53409 53392 53395 53398 53400
12 53411 53408 53383 53415 53388 53386 53385 53386 53388 53403 53392 53398 53386 53398 53391
13 53408 53421 53384 53384 53384 53390 53387 53386 53387 53386 53393 53394 53392 53401 53388
14 53382 53386 53383 53411 53389 53397 53387 53386 53384 53394 53393 53395 53389 53390 53395
15 53404 53413 53384 53384 53385 53387 53384 53386 53392 53388 53394 53395 53397 53410 53388
16 53411 53405 53387 53414 53382 53392 53386 53392 53387 53392 53393 53390 53396 53391 53387
17 53406 53384 53387 53386 53388 53396 53385 53391 53391 53408 53394 53394 53388 53406 53393
18 53409 53416 53384 53385 53383 53390 53384 53388 53391 53409 53393 53394 53390 53390 53390
19 53413 53410 53384 53386 53385 53407 53382 53385 53392 53407 53393 53392 53387 53391 53393
20 53410 53406 53384 53384 53393 53386 53387 53391 53388 53394 53408 53398 53390 53392 53401
21 53404 53405 53387 53387 53385 53383 53382 53376 53388 53386 53394 53392 53385 53391 53403
22 53410 53419 53383 53387 53388 53395 53387 53388 53396 53385 53412 53397 53391 53391 53389
23 53384 53415 53383 53386 53383 53393 53382 53376 53391 53385 53397 53394 53392 53389 53386
25 53408 53403 53384 53410 53385 53388 53391 53376 53389 53389 53394 53391 53386 53394 53389
30 53405 53404 53384 53384 53388 53391 53383 53386 53387 53407 53407 53395 53386 53390 53385
40 53409 53383 53384 53387 53382 53386 53384 53384 53391 53386 53392 53394 53399 53390 53390

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 53391 bytes – 100%
1,000 53388 bytes -3 bytes 100%
10,000 53381 bytes -7 bytes 100%
100,000 53377 bytes -4 bytes 2.32%
1,000,000 53376 bytes -1 byte 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) 53544 bytes +168 bytes (+0.31%) +67 bytes
1 53477 bytes +101 bytes (+0.19%) –
2 53504 bytes +128 bytes (+0.24%) +27 bytes
3 53522 bytes +146 bytes (+0.27%) +45 bytes
4 53543 bytes +167 bytes (+0.31%) +66 bytes
5 53557 bytes +181 bytes (+0.34%) +80 bytes
6 53606 bytes +230 bytes (+0.43%) +129 bytes
7 53617 bytes +241 bytes (+0.45%) +140 bytes
8 53613 bytes +237 bytes (+0.44%) +136 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 - but your browser doesn't support it.
Algorithm Program Parameters Size Compared To Best Zopfli
ZPAQ (Wikipedia) zpaq zpaq -method 69 39209 bytes -14167 bytes (-26.54%)
RAR (proprietary) RAR rar a -m5 -md64m -mc63:128t -mt1 46846 bytes -6530 bytes (-12.23%)
PPMd (Wikipedia) 7zip 7za a -mx=9 -m0=ppmd 47819 bytes -5557 bytes (-10.41%)
Brotli (Wikipedia) brotli brotli -q 11 49244 bytes -4132 bytes (-7.74%)
LZMA2 (Wikipedia) xz xz -9 50372 bytes -3004 bytes (-5.63%)
Zstandard (Wikipedia) zstd zstd -19 51693 bytes -1683 bytes (-3.15%)
Burrows-Wheeler transform (Wikipedia) bzip2 bzip2 -9 51921 bytes -1455 bytes (-2.73%)

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 2024.
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.