Choose a version:
34% The original file has 127753 bytes (124.8k) and is available from the project website.
There you can find the official minified version, too, which brings down the size to 42799 bytes (41.8k, 34%).

After GZIP compression these minified files vary in size:
Boot
  17069 bytes (16.7k)
CDN
unpkg
  16467 bytes (16.1k)
CDN
cdnjs
  14734 bytes (14.4k)
CDN
gzip -6 (default)
  14653 bytes (14.3k)
local copy
gzip -9
  14643 bytes (14.3k)
local copy
libdeflate -12
  14128 bytes (13.8k)
local copy
7zip -mx=9 -tgzip
  14102 bytes (13.8k)
local copy
pigz -11 -n
  14092 bytes (13.8k)
local copy
kzip -s0 -rn -b4
  14089 bytes (13.8k)
local copy
Zopfli
  14049 bytes (13.7k)
local copy

perma-link to the smallest file on my server:
http://minime.stephan-brumme.com/files/vue/vue-0.10.6.min.js

You will automatically get the smallest Vue 0.10.6 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 685 bytes by using my Vue 0.10.6 Zopfli version instead of the best available CDN (4.88% smaller than cdnjs, 14049 vs. 14734 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 --bsr23 --lazy --ohh

(found April 10, 2017)
Description Value Parameter
iterations 100000  --i100000
maximum blocks 8  --mb8
maximum length score 64  --mls64
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

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-0.10.6.min.js --location | md5sum
eb55f196fc27889b7deb35513740421d  -
curl --silent --compressed http://minime.stephan-brumme.com/files/vue/vue-0.10.6.min.zopfli.js.gz | md5sum
eb55f196fc27889b7deb35513740421d  -

SHA1:
curl --silent --compressed https://raw.githubusercontent.com/vuejs/vue/vue-0.10.6.min.js --location | sha1sum
66d24bccff6f36fe133ca509438399096b6bae51  -
curl --silent --compressed http://minime.stephan-brumme.com/files/vue/vue-0.10.6.min.zopfli.js.gz | sha1sum
66d24bccff6f36fe133ca509438399096b6bae51  -

All listed CDNs deliver identical contents:
CDN Size (compressed) MD5 (uncompressed) Timestamp
Boot 17069 bytes eb55f196fc27889b7deb35513740421d (invalid)
unpkg 16467 bytes eb55f196fc27889b7deb35513740421d April 6, 2017 @ 17:25
cdnjs 14734 bytes eb55f196fc27889b7deb35513740421d (invalid)

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

Other Versions

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

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
14049 bytes -2 bytes zopfli --i100000 --mls64 --bsr23 --lazy --ohh April 10, 2017 @ 13:32
14051 bytes -1 byte zopfli --i10000 --mls64 --bsr23 --lazy --ohh April 7, 2017 @ 03:07
14052 bytes -4 bytes zopfli --i10000 --mls256 --bsr19 --lazy --ohh April 7, 2017 @ 02:00
14056 bytes -1 byte zopfli --i1000 --mls256 --bsr19 --lazy --ohh April 6, 2017 @ 19:19
14057 bytes -3 bytes zopfli --i1000 --mls128 --bsr21 --lazy --ohh April 6, 2017 @ 18:56
14060 bytes zopfli --i100 --mls64 --bsr23 --lazy --ohh April 6, 2017 @ 18:06

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 @ 03:03.

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
14072 14071 14091 14089 14082 14080 14077 14076 14078 14076 14075 14080 14078 14077 14077
14082 14078 14082 14084 14082 14083 14083 14070 14079 14080 14080 14079 14073 14071 14075
14078 14078 14066 14073 14073 14079 14075 14062 14074 14079 14079 14083 14072 14073 14074
14078 14076 14078 14064 14064 14079 14073 14071 14067 14079 14080 14079 14072 14072 14078
14079 14063 14067 14079 14091 14079 14070 14072 14080 14080 14080 14078 14072 14071 14074
14078 14071 14063 14064 14078 14080 14060 14057 14069 14080 14080 14079 14072 14072 14074
14075 14079 14062 14074 14080 14079 14078 14075 14069 14075 14079 14079 14072 14073 14079
14080 14072 14067 14079 14063 14080 14070 14073 14074 14079 14080 14078 14065 14073 14073
14064 14059 14059 14073 14063 14079 14061 14069 14074 14079 14079 14079 14075 14074 14073
14078 14080 14078 14072 14061 14079 14077 14074 14074 14080 14068 14079 14074 14071 14073
14078 14076 14064 14070 14066 14080 14060 14072 14074 14079 14080 14078 14074 14071 14073
14079 14079 14072 14072 14064 14079 14067 14079 14080 14079 14079 14079 14072 14071 14076
14071 14071 14077 14061 14083 14080 14070 14075 14067 14080 14070 14078 14064 14073 14074
14080 14070 14071 14085 14065 14081 14054 14072 14081 14079 14079 14080 14073 14074 14073
14078 14078 14078 14072 14083 14080 14062 14073 14066 14080 14079 14078 14075 14072 14070
14080 14070 14065 14066 14062 14081 14072 14052 14074 14079 14080 14072 14074 14071 14073
14078 14072 14077 14061 14071 14049 14083 14077 14067 14079 14071 14074 14073 14073 14073
14078 14064 14064 14079 14066 14082 14050 14075 14074 14079 14079 14080 14087 14073 14079
14079 14070 14078 14063 14064 14079 14060 14071 14066 14079 14078 14079 14074 14073 14080
14080 14078 14063 14072 14060 14049 14064 14060 14074 14079 14072 14079 14073 14073 14070
14065 14061 14056 14071 14062 14061 14080 14071 14068 14079 14079 14078 14073 14072 14073
14079 14065 14061 14065 14063 14053 14062 14074 14069 14079 14072 14074 14074 14072 14074
14078 14070 14070 14074 14063 14081 14075 14069 14066 14081 14072 14073 14074 14073 14079

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 14060 bytes 100%
1,000 14056 bytes -4 bytes 100%
10,000 14051 bytes -5 bytes 100%
100,000 14049 bytes -2 bytes 3.19%
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
14123 bytes +74 bytes (+0.53%) +34 bytes
14123 bytes +74 bytes (+0.53%) +34 bytes
14108 bytes +59 bytes (+0.42%) +19 bytes
14110 bytes +61 bytes (+0.43%) +21 bytes
14089 bytes +40 bytes (+0.28%)
14128 bytes +79 bytes (+0.56%) +39 bytes
14156 bytes +107 bytes (+0.76%) +67 bytes
14194 bytes +145 bytes (+1.03%) +105 bytes
14214 bytes +165 bytes (+1.17%) +125 bytes

Non-DEFLATE Algorithms

Archivers based on completely different compression algorithms often produce superior results.
Unfortunately, browsers only support gzip compression at the moment.
Algorithm Program Parameters Size Compared To Best Zopfli
RAR (proprietary) RAR rar a -m5 -md64m -mc63:128t -mt1 12026 bytes -2023 bytes (-14.40%)
ZPAQ (Wikipedia) zpaq zpaq -method 69 12301 bytes -1748 bytes (-12.44%)
PPMd (Wikipedia) 7zip 7za a -mx=9 -m0=ppmd 12800 bytes -1249 bytes (-8.89%)
Brotli (Wikipedia) brotli brotli -q 11 13288 bytes -761 bytes (-5.42%)
Burrows-Wheeler transform (Wikipedia) bzip2 bzip2 -9 13512 bytes -537 bytes (-3.82%)
LZMA2 (Wikipedia) xz xz -9 13960 bytes -89 bytes (-0.63%)
ZSTD (Wikipedia) zstd zstd -19 14115 bytes +66 bytes (+0.47%)

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