Vue 2.6.7 - as small as it gets (near-perfect GZIP compression)

Choose a version:

The original file has 340083 bytes (332.1k) and is available from the project website.
There you can find the official minified version, too, which brings down the size to 93373 bytes (91.2k, 27%).

After GZIP compression these minified files vary in size:

unpkg	39801 bytes (38.9k)	CDN
Boot	34227 bytes (33.4k)	CDN
cdnjs	34227 bytes (33.4k)	CDN
gzip -6 (default)	34028 bytes (33.2k)	local copy
gzip -9	33963 bytes (33.2k)	local copy
libdeflate -12	32857 bytes (32.1k)	local copy
7zip -mx=9 -tgzip	32789 bytes (32.0k)	local copy
kzip -s0 -rn -b5	32751 bytes (32.0k)	local copy
zultra	32740 bytes (32.0k)	local copy
pigz -11 -n	32733 bytes (32.0k)	local copy
Zopfli	32692 bytes (31.9k)	local copy

perma-link to the smallest file on my server:
http://minime.stephan-brumme.com/files/vue/vue-2.6.7.min.js (or via HTTPS)

You will automatically get the smallest Vue 2.6.7 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

Save 1535 bytes by using my Vue 2.6.7 Zopfli version instead of the best available CDN (4.70% smaller than cdnjs, 32692 vs. 34227 bytes):

Download

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 --mls8192 --bsr15 --lazy --ohh

(found February 25, 2019)

Description	Value	Parameter
iterations	1000000	--i1000000
maximum blocks	8	--mb8
maximum length score	8192	--mls8192
block splitting recursion	15	--bsr15
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

Verify file integrity

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

MD5:
curl --silent --compressed https://raw.githubusercontent.com/vuejs/vue/vue-2.6.7.min.js --location | md5sum
47220dbcb227dd1b39a1013bafc03a1c -
curl --silent --compressed https://minime.stephan-brumme.com/files/vue/vue-2.6.7.min.zopfli.js.gz | md5sum
47220dbcb227dd1b39a1013bafc03a1c -

SHA1:
curl --silent --compressed https://raw.githubusercontent.com/vuejs/vue/vue-2.6.7.min.js --location | sha1sum
fe83c79403d3f2a6d687193b244bccfaac2cc88f -
curl --silent --compressed https://minime.stephan-brumme.com/files/vue/vue-2.6.7.min.zopfli.js.gz | sha1sum
fe83c79403d3f2a6d687193b244bccfaac2cc88f -

All listed CDNs deliver identical contents:

CDN	Size (compressed)	MD5 (uncompressed)	Timestamp
unpkg	39801 bytes	47220dbcb227dd1b39a1013bafc03a1c	(invalid)
Boot	34227 bytes	47220dbcb227dd1b39a1013bafc03a1c	(invalid)
cdnjs	34227 bytes	47220dbcb227dd1b39a1013bafc03a1c	(invalid)

Note: only the MD5 hashes are shown to keep things simple.

Other Versions

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

2.6.14, 2.6.13, 2.6.12, 2.6.11, 2.6.10, 2.6.9, 2.6.8, 2.6.7, 2.6.6, 2.6.5, 2.6.4, 2.6.3, 2.6.2, 2.6.1, 2.6.0, 2.5.22, 2.5.21, 2.5.20, 2.5.19, 2.5.18, 2.5.17, 2.5.16, 2.5.15, 2.5.14, 2.5.13, 2.5.12, 2.5.11, 2.5.10, 2.5.9, 2.5.8, 2.5.7, 2.5.6, 2.5.5, 2.5.4, 2.5.3, 2.5.2, 2.5.1, 2.5.0, 2.4.4, 2.4.3, 2.4.2, 2.4.1, 2.4.0, 2.3.4, 2.3.3, 2.3.2, 2.3.1, 2.3.0, 2.2.6, 2.2.5, 2.2.4, 2.2.3, 2.2.2, 2.2.1, 2.2.0, 2.1.10, 2.1.9, 2.1.8, 2.1.7, 2.1.6, 2.1.5, 2.1.4, 2.1.3, 2.1.2, 2.1.1, 2.1.0, 2.0.8, 2.0.7, 2.0.6, 2.0.5, 2.0.4, 2.0.3, 2.0.2, 2.0.1, 2.0.0,
1.0.28, 1.0.27, 1.0.26, 1.0.25, 1.0.24, 1.0.23, 1.0.22, 1.0.21, 1.0.20, 1.0.19, 1.0.18, 1.0.17, 1.0.16, 1.0.15, 1.0.14, 1.0.13, 1.0.12, 1.0.11, 1.0.10, 1.0.9,
0.10.6, 0.10.5, 0.10.4, 0.10.3, 0.10.2, 0.10.1, 0.10.0,
0.9.3, 0.9.2, 0.9.1, 0.9.0

The project site contains an overview how well these versions were compressed.
Other interesting projects are AngularJS, BackboneJS, Bootstrap, D3, Dojo, Ember, jQuery, Knockout, lodash, React, Socket.IO, ThreeJS and UnderscoreJS.

Changelog

Best Zopfli parameters so far:

Size	Improvement	Parameters	Found
32692 bytes	-1 byte	zopfli --i1000000 --mls8192 --bsr15 --lazy --ohh	February 25, 2019 @ 14:47
32693 bytes	-1 byte	zopfli --i100000 --mls8192 --bsr16 --lazy --ohh	February 25, 2019 @ 07:59
32694 bytes	-1 byte	zopfli --i100000 --mls8192 --bsr25 --lazy --ohh	February 25, 2019 @ 07:57
32695 bytes	-1 byte	zopfli --i10000 --mls8192 --bsr25 --lazy --ohh	February 23, 2019 @ 03:26
32696 bytes	-4 bytes	zopfli --i10000 --mls8192 --bsr7 --lazy --ohh	February 22, 2019 @ 16:25
32700 bytes	-1 byte	zopfli --i1000 --mls4 --bsr30 --lazy --ohh	February 22, 2019 @ 13:30
32701 bytes	-1 byte	zopfli --i1000 --mls4 --bsr23 --lazy --ohh	February 22, 2019 @ 13:01
32702 bytes	-3 bytes	zopfli --i1000 --mls4 --bsr15 --lazy --ohh	February 22, 2019 @ 12:51
32705 bytes	–	zopfli --i100 --mls4 --bsr12 --lazy --ohh	February 22, 2019 @ 11:02

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

Most recent activity on July 20, 2020 @ 12:54.

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	32711	32712	32716	32712	32715	32714	32722	32715	32713	32724	32707	32705	32706	32715	32728
4	32728	32709	32709	32713	32709	32727	32739	32731	32719	32724	32720	32718	32694	32719	32724
6	32730	32698	32732	32734	32711	32727	32729	32731	32731	32723	32721	32707	32717	32714	32729
7	32709	32711	32710	32719	32716	32728	32726	32724	32729	32724	32716	32712	32692	32719	32709
8	32711	32712	32710	32717	32716	32724	32710	32712	32728	32723	32711	32713	32697	32709	32734
9	32710	32713	32712	32709	32709	32724	32731	32728	32728	32719	32713	32718	32694	32718	32718
10	32710	32711	32711	32720	32712	32724	32725	32734	32729	32723	32713	32714	32703	32718	32724
11	32698	32711	32711	32712	32716	32727	32727	32730	32729	32723	32713	32705	32692	32718	32708
12	32709	32697	32712	32712	32709	32738	32728	32734	32730	32723	32714	32704	32692	32725	32727
13	32709	32710	32712	32739	32725	32729	32725	32729	32729	32719	32713	32705	32693	32718	32726
14	32729	32711	32710	32741	32710	32730	32735	32729	32723	32725	32713	32714	32694	32717	32708
15	32709	32699	32711	32738	32736	32728	32724	32713	32728	32722	32713	32714	32692	32718	32712
16	32711	32699	32711	32739	32712	32740	32726	32728	32726	32720	32714	32713	32693	32719	32708
17	32715	32711	32710	32736	32741	32729	32736	32728	32730	32723	32714	32712	32712	32719	32710
18	32727	32711	32711	32715	32711	32727	32725	32731	32729	32720	32713	32712	32693	32719	32726
19	32711	32700	32709	32719	32711	32731	32732	32730	32730	32720	32713	32715	32705	32725	32710
20	32711	32712	32713	32712	32709	32728	32724	32725	32730	32721	32724	32714	32709	32720	32725
21	32710	32711	32711	32738	32717	32727	32728	32726	32730	32726	32713	32714	32709	32719	32718
22	32709	32701	32711	32712	32711	32729	32725	32729	32728	32722	32713	32716	32704	32719	32724
23	32710	32699	32709	32714	32716	32717	32725	32725	32728	32724	32713	32715	32698	32719	32710
25	32729	32698	32734	32738	32718	32728	32736	32730	32729	32722	32713	32715	32694	32719	32709
30	32709	32699	32713	32740	32710	32728	32725	32728	32728	32722	32714	32712	32698	32718	32724
40	32729	32698	32711	32721	32709	32727	32725	32724	32728	32720	32713	32712	32692	32703	32708

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	32705 bytes	–	100%
1,000	32700 bytes	-5 bytes	100%
10,000	32695 bytes	-5 bytes	100%
100,000	32693 bytes	-2 bytes	3.48%
1,000,000	32692 bytes	-1 byte	2.32%
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)	32808 bytes	+116 bytes (+0.35%)	+57 bytes
1	32803 bytes	+111 bytes (+0.34%)	+52 bytes
2	32809 bytes	+117 bytes (+0.36%)	+58 bytes
3	32794 bytes	+102 bytes (+0.31%)	+43 bytes
4	32809 bytes	+117 bytes (+0.36%)	+58 bytes
5	32751 bytes	+59 bytes (+0.18%)	–
6	32773 bytes	+81 bytes (+0.25%)	+22 bytes
7	32770 bytes	+78 bytes (+0.24%)	+19 bytes
8	32807 bytes	+115 bytes (+0.35%)	+56 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	26919 bytes	-5773 bytes (-17.66%)
RAR (proprietary)	RAR	rar a -m5 -md64m -mc63:128t -mt1	27871 bytes	-4821 bytes (-14.75%)
PPMd (Wikipedia)	7zip	7za a -mx=9 -m0=ppmd	28883 bytes	-3809 bytes (-11.65%)
Brotli (Wikipedia)	brotli	brotli -q 11	30600 bytes	-2092 bytes (-6.40%)
Burrows-Wheeler transform (Wikipedia)	bzip2	bzip2 -9	31313 bytes	-1379 bytes (-4.22%)
LZMA2 (Wikipedia)	xz	xz -9	31372 bytes	-1320 bytes (-4.04%)
Zstandard (Wikipedia)	zstd	zstd -19	32005 bytes	-687 bytes (-2.10%)

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.