Vue 2.3.4 - as small as it gets (near-perfect GZIP compression)

Choose a version:

The original file has 254793 bytes (248.8k) and is available from the project website.
There you can find the official minified version, too, which brings down the size to 79034 bytes (77.2k, 31%).

After GZIP compression these minified files vary in size:

Boot	33011 bytes (32.2k)	CDN
cdnjs	29094 bytes (28.4k)	CDN
gzip -6 (default)	28907 bytes (28.2k)	local copy
unpkg	28872 bytes (28.2k)	CDN
gzip -9	28868 bytes (28.2k)	local copy
libdeflate -12	27952 bytes (27.3k)	local copy
7zip -mx=9 -tgzip	27919 bytes (27.3k)	local copy
kzip -s0 -rn -b1	27917 bytes (27.3k)	local copy
zultra	27876 bytes (27.2k)	local copy
pigz -11 -n	27868 bytes (27.2k)	local copy
Zopfli	27809 bytes (27.2k)	local copy
Zopfli (defluff)	27807 bytes (27.2k)	local copy

perma-link to the smallest file on my server:
http://minime.stephan-brumme.com/files/vue/vue-2.3.4.min.js (or via HTTPS)

You will automatically get the smallest Vue 2.3.4 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 1063 bytes by using my Vue 2.3.4 Zopfli version instead of the best available CDN (3.82% smaller than unpkg, 27809 vs. 28872 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 --mls2 --bsr6 --lazy --ohh

(found June 12, 2017)

Description	Value	Parameter
iterations	1000000	--i1000000
maximum blocks	8	--mb8
maximum length score	2	--mls2
block splitting recursion	6	--bsr6
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 2 more bytes (27807 bytes).

Download

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-2.3.4.min.js --location | md5sum
ae2fca1cfa0e31377819b1b0ffef704c -
curl --silent --compressed https://minime.stephan-brumme.com/files/vue/vue-2.3.4.min.zopfli.js.gz | md5sum
ae2fca1cfa0e31377819b1b0ffef704c -

SHA1:
curl --silent --compressed https://raw.githubusercontent.com/vuejs/vue/vue-2.3.4.min.js --location | sha1sum
74456b8ac06869c42db0d0c82e30a01b38098569 -
curl --silent --compressed https://minime.stephan-brumme.com/files/vue/vue-2.3.4.min.zopfli.js.gz | sha1sum
74456b8ac06869c42db0d0c82e30a01b38098569 -

All listed CDNs deliver identical contents:

CDN	Size (compressed)	MD5 (uncompressed)	Timestamp
Boot	33011 bytes	ae2fca1cfa0e31377819b1b0ffef704c	June 9, 2017 @ 07:19
cdnjs	29094 bytes	ae2fca1cfa0e31377819b1b0ffef704c	(invalid)
unpkg	28872 bytes	ae2fca1cfa0e31377819b1b0ffef704c	June 8, 2017 @ 10:26

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
27809 bytes	-1 byte	zopfli --i1000000 --mls2 --bsr6 --lazy --ohh	June 12, 2017 @ 13:13
27810 bytes	-1 byte	zopfli --i100000 --mls4 --bsr6 --lazy --ohh	June 12, 2017 @ 10:13
27811 bytes	-4 bytes	zopfli --i100000 --mls2 --bsr6 --lazy --ohh	June 8, 2017 @ 11:03
27815 bytes	-1 byte	zopfli --i10000 --mls2 --bsr6 --lazy --ohh	June 8, 2017 @ 10:38
27816 bytes	-2 bytes	zopfli --i10000 --mls4 --bsr6 --lazy --ohh	June 8, 2017 @ 10:35
27818 bytes	-4 bytes	zopfli --i1000 --mls4 --bsr6 --lazy --ohh	June 8, 2017 @ 10:32
27822 bytes	–	zopfli --i100 --mls4 --bsr6 --lazy --ohh	June 8, 2017 @ 10:28

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 @ 12:55.

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	27867	27867	27869	27868	27866	27864	27863	27869	27865	27850	27852	27851	27852	27854	27855
4	27848	27831	27837	27852	27830	27870	27840	27848	27845	27846	27855	27852	27849	27852	27851
6	27809	27809	27846	27845	27816	27839	27833	27851	27848	27857	27850	27849	27849	27848	27846
7	27849	27832	27825	27830	27866	27856	27860	27854	27845	27849	27846	27849	27849	27843	27842
8	27853	27845	27857	27842	27840	27845	27833	27853	27848	27852	27847	27849	27851	27845	27845
9	27838	27846	27817	27832	27850	27845	27832	27845	27845	27849	27851	27849	27848	27853	27843
10	27850	27850	27859	27843	27870	27858	27856	27865	27848	27845	27848	27849	27848	27845	27850
11	27842	27842	27846	27844	27847	27872	27865	27864	27847	27854	27850	27845	27849	27847	27850
12	27841	27850	27849	27844	27866	27861	27865	27864	27852	27849	27848	27844	27846	27852	27851
13	27844	27843	27845	27843	27865	27864	27864	27845	27842	27852	27843	27846	27845	27847	27852
14	27859	27858	27851	27847	27838	27839	27831	27850	27853	27871	27851	27849	27849	27847	27850
15	27833	27822	27860	27828	27832	27833	27832	27853	27856	27856	27846	27849	27850	27843	27865
16	27837	27833	27839	27858	27862	27825	27837	27855	27851	27851	27851	27848	27850	27845	27848
17	27850	27847	27849	27845	27845	27838	27843	27852	27846	27849	27848	27850	27849	27846	27848
18	27848	27832	27853	27857	27840	27840	27850	27845	27845	27856	27851	27849	27850	27843	27848
19	27832	27834	27830	27853	27843	27824	27835	27860	27846	27856	27851	27848	27850	27852	27846
20	27842	27844	27845	27859	27840	27829	27834	27860	27851	27852	27851	27849	27850	27841	27846
21	27846	27851	27844	27840	27843	27865	27836	27865	27862	27849	27851	27850	27848	27845	27849
22	27849	27843	27851	27851	27863	27865	27830	27853	27845	27856	27852	27841	27846	27847	27847
23	27829	27854	27846	27839	27821	27865	27845	27854	27849	27856	27852	27847	27851	27846	27851
25	27850	27853	27842	27841	27824	27855	27866	27862	27854	27853	27850	27847	27845	27848	27849
30	27825	27829	27816	27836	27841	27844	27831	27843	27865	27856	27851	27849	27848	27855	27848
40	27854	27851	27840	27843	27863	27867	27864	27860	27849	27848	27846	27843	27846	27844	27845

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	27822 bytes	–	100%
1,000	27818 bytes	-4 bytes	100%
10,000	27815 bytes	-3 bytes	100%
100,000	27810 bytes	-5 bytes	1.45%
1,000,000	27809 bytes	-1 byte	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)	27917 bytes	+108 bytes (+0.39%)	–
1	27917 bytes	+108 bytes (+0.39%)	–
2	27925 bytes	+116 bytes (+0.42%)	+8 bytes
3	27927 bytes	+118 bytes (+0.42%)	+10 bytes
4	27918 bytes	+109 bytes (+0.39%)	+1 byte
5	27931 bytes	+122 bytes (+0.44%)	+14 bytes
6	27956 bytes	+147 bytes (+0.53%)	+39 bytes
7	27987 bytes	+178 bytes (+0.64%)	+70 bytes
8	28016 bytes	+207 bytes (+0.74%)	+99 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	22999 bytes	-4810 bytes (-17.30%)
RAR (proprietary)	RAR	rar a -m5 -md64m -mc63:128t -mt1	23687 bytes	-4122 bytes (-14.82%)
PPMd (Wikipedia)	7zip	7za a -mx=9 -m0=ppmd	24464 bytes	-3345 bytes (-12.03%)
Brotli (Wikipedia)	brotli	brotli -q 11	25882 bytes	-1927 bytes (-6.93%)
Burrows-Wheeler transform (Wikipedia)	bzip2	bzip2 -9	26563 bytes	-1246 bytes (-4.48%)
LZMA2 (Wikipedia)	xz	xz -9	26628 bytes	-1181 bytes (-4.25%)
Zstandard (Wikipedia)	zstd	zstd -19	27343 bytes	-466 bytes (-1.68%)

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.