Choose a version:
34% The original file has 126044 bytes (123.1k) and is available from the project website.
There you can find the official minified version, too, which brings down the size to 42372 bytes (41.4k, 34%).

After GZIP compression these minified files vary in size:
Boot
  16910 bytes (16.5k)
CDN
cdnjs
  14600 bytes (14.3k)
CDN
gzip -6 (default)
  14525 bytes (14.2k)
local copy
gzip -9
  14513 bytes (14.2k)
local copy
unpkg
  14498 bytes (14.2k)
CDN
libdeflate -12
  14019 bytes (13.7k)
local copy
7zip -mx=9 -tgzip
  13991 bytes (13.7k)
local copy
pigz -11 -n
  13978 bytes (13.7k)
local copy
kzip -s0 -rn -b4
  13972 bytes (13.6k)
local copy
Zopfli
  13945 bytes (13.6k)
local copy

perma-link to the smallest file on my server:
http://minime.stephan-brumme.com/files/vue/vue-0.10.5.min.js (or via HTTPS)

You will automatically get the smallest Vue 0.10.5 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 553 bytes by using my Vue 0.10.5 Zopfli version instead of the best available CDN (3.97% smaller than unpkg, 13945 vs. 14498 bytes):
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 --mls64 --bsr11 --lazy --ohh

(found April 8, 2017)
Description Value Parameter
iterations 100000  --i100000
maximum blocks 8  --mb8
maximum length score 64  --mls64
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

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-0.10.5.min.js --location | md5sum
8da60eccd0256509f0343b2de0c169ce  -
curl --silent --compressed https://minime.stephan-brumme.com/files/vue/vue-0.10.5.min.zopfli.js.gz | md5sum
8da60eccd0256509f0343b2de0c169ce  -

SHA1:
curl --silent --compressed https://raw.githubusercontent.com/vuejs/vue/vue-0.10.5.min.js --location | sha1sum
b195b154c3dc4f9a7f8f39cd4308937ac851d9c9  -
curl --silent --compressed https://minime.stephan-brumme.com/files/vue/vue-0.10.5.min.zopfli.js.gz | sha1sum
b195b154c3dc4f9a7f8f39cd4308937ac851d9c9  -

All listed CDNs deliver identical contents:
CDN Size (compressed) MD5 (uncompressed) Timestamp
Boot 16910 bytes 8da60eccd0256509f0343b2de0c169ce (invalid)
cdnjs 14600 bytes 8da60eccd0256509f0343b2de0c169ce (invalid)
unpkg 14498 bytes 8da60eccd0256509f0343b2de0c169ce April 6, 2017 @ 17:25

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

Other Versions

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

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
13945 bytes -2 bytes zopfli --i100000 --mls64 --bsr11 --lazy --ohh April 8, 2017 @ 21:50
13947 bytes -1 byte zopfli --i10000 --mls128 --bsr10 --lazy --ohh April 7, 2017 @ 01:21
13948 bytes -4 bytes zopfli --i10000 --mls32 --bsr23 --lazy --ohh April 7, 2017 @ 00:57
13952 bytes -4 bytes zopfli --i1000 --mls32 --bsr14 --lazy --ohh April 6, 2017 @ 18:57
13956 bytes zopfli --i100 --mls128 --bsr10 --lazy --ohh April 6, 2017 @ 18:11

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

Most recent activity on April 11, 2017 @ 07:06.

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
13958 13956 13960 13967 13958 13967 13960 13957 13964 13967 13968 13967 13976 13966 13973
13954 13958 13963 13960 13962 13953 13965 13968 13971 13969 13967 13968 13963 13960 13967
13961 13961 13957 13958 13959 13949 13954 13957 13969 13968 13965 13966 13959 13962 13971
13961 13957 13958 13958 13952 13950 13967 13960 13962 13966 13966 13965 13962 13960 13970
13959 13960 13955 13959 13958 13953 13962 13954 13958 13966 13965 13965 13965 13962 13958
13958 13960 13953 13957 13954 13960 13964 13959 13965 13966 13965 13965 13961 13961 13970
13960 13962 13959 13960 13952 13954 13945 13963 13961 13972 13966 13968 13964 13963 13974
13959 13961 13956 13957 13957 13945 13955 13952 13960 13967 13968 13966 13976 13962 13958
13960 13958 13958 13960 13957 13950 13948 13963 13958 13972 13965 13965 13965 13968 13970
13960 13961 13953 13959 13956 13952 13952 13949 13959 13957 13961 13960 13967 13966 13970
13960 13957 13959 13958 13951 13952 13957 13960 13960 13966 13967 13965 13977 13966 13974
13960 13960 13959 13958 13948 13950 13955 13949 13960 13966 13960 13965 13963 13962 13970
13957 13961 13956 13957 13955 13955 13950 13958 13962 13971 13961 13959 13966 13968 13969
13960 13961 13962 13956 13950 13952 13953 13956 13959 13968 13965 13960 13974 13966 13957
13960 13960 13953 13957 13956 13951 13955 13951 13961 13965 13961 13966 13965 13964 13968
13961 13962 13961 13958 13955 13951 13955 13963 13959 13958 13965 13966 13961 13963 13967
13959 13958 13955 13958 13953 13947 13949 13954 13964 13966 13965 13966 13975 13967 13976
13960 13958 13953 13959 13957 13953 13950 13946 13959 13969 13959 13965 13975 13966 13970
13958 13959 13958 13957 13955 13950 13947 13950 13958 13966 13949 13966 13965 13962 13957
13959 13961 13959 13958 13946 13969 13951 13956 13966 13967 13964 13965 13965 13962 13966
13961 13960 13957 13959 13954 13951 13954 13966 13959 13971 13965 13965 13965 13962 13970
13960 13959 13962 13958 13954 13947 13950 13958 13959 13965 13962 13965 13974 13966 13970
13959 13962 13959 13957 13958 13967 13962 13949 13958 13971 13960 13959 13976 13962 13966

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 13956 bytes 100%
1,000 13952 bytes -4 bytes 100%
10,000 13947 bytes -5 bytes 100%
100,000 13945 bytes -2 bytes 5.22%
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
14007 bytes +62 bytes (+0.44%) +35 bytes
14008 bytes +63 bytes (+0.45%) +36 bytes
13996 bytes +51 bytes (+0.37%) +24 bytes
13993 bytes +48 bytes (+0.34%) +21 bytes
13972 bytes +27 bytes (+0.19%)
14017 bytes +72 bytes (+0.52%) +45 bytes
14044 bytes +99 bytes (+0.71%) +72 bytes
14083 bytes +138 bytes (+0.99%) +111 bytes
14115 bytes +170 bytes (+1.22%) +143 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
RAR (proprietary) RAR rar a -m5 -md64m -mc63:128t -mt1 11929 bytes -2016 bytes (-14.46%)
ZPAQ (Wikipedia) zpaq zpaq -method 69 12204 bytes -1741 bytes (-12.48%)
PPMd (Wikipedia) 7zip 7za a -mx=9 -m0=ppmd 12697 bytes -1248 bytes (-8.95%)
Brotli (Wikipedia) brotli brotli -q 11 13179 bytes -766 bytes (-5.49%)
Burrows-Wheeler transform (Wikipedia) bzip2 bzip2 -9 13421 bytes -524 bytes (-3.76%)
LZMA2 (Wikipedia) xz xz -9 13844 bytes -101 bytes (-0.72%)
Zstandard (Wikipedia) zstd zstd -19 13995 bytes +50 bytes (+0.36%)

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 2018.
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