Vue 1.0.27 - as small as it gets (near-perfect GZIP compression)

Choose a version:

The original file has 257379 bytes (251.3k) and is available from the project website.
There you can find the official minified version, too, which brings down the size to 77688 bytes (75.9k, 30%).

After GZIP compression these minified files vary in size:

Boot	31323 bytes (30.6k)	CDN
cdnjs	27064 bytes (26.4k)	CDN
gzip -6 (default)	26879 bytes (26.2k)	local copy
jsdelivr	26806 bytes (26.2k)	CDN
gzip -9	26792 bytes (26.2k)	local copy
unpkg	26764 bytes (26.1k)	CDN
libdeflate -12	25903 bytes (25.3k)	local copy
7zip -mx=9 -tgzip	25877 bytes (25.3k)	local copy
kzip -s0 -rn -b1	25856 bytes (25.3k)	local copy
zultra	25852 bytes (25.2k)	local copy
pigz -11 -n	25823 bytes (25.2k)	local copy
Zopfli	25794 bytes (25.2k)	local copy
Zopfli (defluff)	25793 bytes (25.2k)	local copy

perma-link to the smallest file on my server:
http://minime.stephan-brumme.com/files/vue/vue-1.0.27.min.js (or via HTTPS)

You will automatically get the smallest Vue 1.0.27 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 970 bytes by using my Vue 1.0.27 Zopfli version instead of the best available CDN (3.76% smaller than unpkg, 25794 vs. 26764 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 --i100000 --mb8 --mls16384 --bsr23 --lazy --ohh

(found April 10, 2017)

Description	Value	Parameter
iterations	100000	--i100000
maximum blocks	8	--mb8
maximum length score	16384	--mls16384
block splitting recursion	23	--bsr23
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 (25793 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-1.0.27.min.js --location | md5sum
b8840c0112c8d329995345b704e851de -
curl --silent --compressed https://minime.stephan-brumme.com/files/vue/vue-1.0.27.min.zopfli.js.gz | md5sum
b8840c0112c8d329995345b704e851de -

SHA1:
curl --silent --compressed https://raw.githubusercontent.com/vuejs/vue/vue-1.0.27.min.js --location | sha1sum
427feaf16be49b53eac04039006f228074d2f314 -
curl --silent --compressed https://minime.stephan-brumme.com/files/vue/vue-1.0.27.min.zopfli.js.gz | sha1sum
427feaf16be49b53eac04039006f228074d2f314 -

All listed CDNs deliver identical contents:

CDN	Size (compressed)	MD5 (uncompressed)	Timestamp
Boot	31323 bytes	b8840c0112c8d329995345b704e851de	(invalid)
cdnjs	27064 bytes	b8840c0112c8d329995345b704e851de	(invalid)
jsdelivr	26806 bytes	b8840c0112c8d329995345b704e851de	(invalid)
unpkg	26764 bytes	b8840c0112c8d329995345b704e851de	April 6, 2017 @ 17:24

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
25794 bytes	-4 bytes	zopfli --i100000 --mls16384 --bsr23 --lazy --ohh	April 10, 2017 @ 13:32
25798 bytes	-3 bytes	zopfli --i10000 --mls16384 --bsr23 --lazy --ohh	April 7, 2017 @ 00:28
25801 bytes	-4 bytes	zopfli --i1000 --mls16384 --bsr23 --lazy --ohh	April 6, 2017 @ 19:02
25805 bytes	-1 byte	zopfli --i1000 --mls256 --bsr2 --lazy --ohh	April 6, 2017 @ 18:58
25806 bytes	-4 bytes	zopfli --i1000 --mls32 --bsr2 --lazy --ohh	April 6, 2017 @ 18:56
25810 bytes	–	zopfli --i100 --mls16384 --bsr23 --lazy --ohh	April 6, 2017 @ 18:24

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 @ 12:48.

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 or 100,000.

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	25811	25808	25801	25801	25801	25800	25801	25799	25812	25811	25810	25810	25801	25822	25825
4	25812	25812	25809	25808	25807	25808	25809	25810	25807	25811	25810	25814	25811	25813	25816
6	25808	25807	25808	25808	25808	25807	25808	25811	25807	25811	25808	25810	25808	25814	25814
7	25809	25810	25809	25808	25809	25810	25808	25808	25807	25805	25810	25814	25812	25813	25815
8	25808	25808	25808	25808	25808	25807	25807	25808	25807	25809	25809	25814	25813	25814	25814
9	25808	25807	25807	25808	25811	25807	25807	25808	25807	25808	25809	25813	25812	25813	25813
10	25807	25807	25809	25808	25811	25807	25807	25808	25808	25807	25808	25811	25809	25814	25811
11	25809	25808	25809	25810	25808	25807	25809	25808	25810	25807	25811	25816	25809	25814	25814
12	25809	25808	25807	25808	25812	25809	25807	25808	25809	25807	25807	25811	25812	25813	25813
13	25808	25808	25807	25807	25809	25807	25807	25808	25807	25810	25809	25815	25811	25814	25813
14	25809	25808	25808	25809	25808	25808	25808	25810	25812	25805	25808	25811	25811	25809	25814
15	25808	25809	25807	25810	25809	25810	25807	25808	25807	25810	25810	25814	25812	25811	25815
16	25809	25807	25807	25808	25811	25809	25807	25806	25809	25805	25810	25813	25812	25814	25815
17	25809	25807	25809	25808	25808	25807	25807	25808	25807	25808	25811	25813	25813	25813	25813
18	25808	25808	25809	25812	25811	25807	25807	25808	25810	25809	25810	25813	25812	25810	25814
19	25808	25808	25807	25808	25811	25808	25807	25808	25808	25808	25810	25816	25812	25814	25812
20	25809	25807	25809	25808	25808	25809	25808	25807	25808	25809	25812	25815	25814	25814	25816
21	25809	25808	25809	25807	25809	25807	25808	25808	25807	25808	25810	25807	25814	25807	25813
22	25808	25807	25809	25808	25811	25808	25807	25807	25810	25807	25807	25816	25813	25811	25813
23	25808	25808	25809	25808	25808	25810	25807	25808	25811	25809	25809	25796	25812	25794	25815
25	25809	25808	25809	25808	25809	25808	25807	25807	25809	25809	25811	25812	25814	25813	25813
30	25808	25808	25807	25808	25811	25809	25807	25810	25810	25810	25811	25814	25813	25810	25814
40	25809	25808	25809	25809	25808	25807	25807	25808	25807	25809	25809	25811	25812	25810	25815

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	25810 bytes	–	100%
1,000	25801 bytes	-9 bytes	100%
10,000	25798 bytes	-3 bytes	100%
100,000	25794 bytes	-4 bytes	2.32%
1,000,000	–	–	–
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)	25857 bytes	+63 bytes (+0.24%)	+1 byte
1	25856 bytes	+62 bytes (+0.24%)	–
2	25858 bytes	+64 bytes (+0.25%)	+2 bytes
3	25857 bytes	+63 bytes (+0.24%)	+1 byte
4	25893 bytes	+99 bytes (+0.38%)	+37 bytes
5	25884 bytes	+90 bytes (+0.35%)	+28 bytes
6	25906 bytes	+112 bytes (+0.43%)	+50 bytes
7	25928 bytes	+134 bytes (+0.52%)	+72 bytes
8	25965 bytes	+171 bytes (+0.66%)	+109 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	21297 bytes	-4497 bytes (-17.43%)
RAR (proprietary)	RAR	rar a -m5 -md64m -mc63:128t -mt1	21755 bytes	-4039 bytes (-15.66%)
PPMd (Wikipedia)	7zip	7za a -mx=9 -m0=ppmd	22655 bytes	-3139 bytes (-12.17%)
Brotli (Wikipedia)	brotli	brotli -q 11	24085 bytes	-1709 bytes (-6.63%)
Burrows-Wheeler transform (Wikipedia)	bzip2	bzip2 -9	24376 bytes	-1418 bytes (-5.50%)
LZMA2 (Wikipedia)	xz	xz -9	24932 bytes	-862 bytes (-3.34%)
Zstandard (Wikipedia)	zstd	zstd -19	25454 bytes	-340 bytes (-1.32%)

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.