[Applause]
so for 12 days and we review its last
day of that carbon and its fishing that
over the house is for all the very tired
so we all appreciate your coming some
like my top is a about licenses so let's
talk about so it's gonna be just a very
quick overview and bring a snapshot of
the oldest versus blotchy products and
which licenses they've chosen to work
with in office
so he's telling this story of how I took
they definitely said buttocks I think it
means together two men involved so first
of all I started just building like my
own list of open source projects out
there you know magnet and then I thought
I could crowdsource that that we
shouldn't and I lists are growing then I
was too pointed to the sentiment API
which is actually great because um
thanks to them I got a database of
basically more than a thousand at that
time in the mountain marketing projects
and so that made it much much much
easier for me because plus the fact that
the github API has a license end point
made so that I can just basically are
this
[Music]
so sound simple um so the end I
basically got a list of 150 hundred
projects and your than ten thousand Rico
so we taught it has multiple readings
inside of it and someone's interested
because it actually gives us some data
to analyze and so this is kind of what
the data looks like on the graph itself
is very useful because the sides of the
triangle here and just as a side note so
we have a third year in orangish and I
think it's the second place in terms of
the amount of repose first place goes to
so this is where we got more interesting
data so most of our repose in the boxing
space don't penalize the saturated so 51
percent of them are licensed and I'll
get back to the non licensed products
right before that if we take those out
you can see that most of those projects
most projects went to high places
choose MIT license so did you five
percent of money use MIT license
followed by a patch
but 50% then UTP or you would have
gotten all that followed by a diverse
mix of DP on tight licences and then
others interesting licenses on Leslie
unlicensed and do whatever you want
I don't know how scientific this is
probably is incredible but I did find a
personal relationship between the number
of words and license and the popularity
so actually does make much sense because
if we want to really read the license
and even understand what's in it
personally I would choose a 100 to be
two word places than almost 6,000 i
grossed bet that maybe 1 1 2 3 5 percent
of people who actually use the CTL 3
laces have read those five thousand six
hundred million words so you know
anyways like that I think that's an
interesting this is a chart of the 2015
long study and in fact if we compared to
today's parties it's at least we see
some tendencies MIT team is more gaining
some space so detail until losing some
in my opinion probably loses some to
gplv3 you know some people incorrectly
so in the gplv3 years and is
is an evolution of the GP opportunities
in case I'm going to go into those
details you want to speak about that
scene at the top and I'm agitating some
specific so lastly just to go back to
that none license the products so we
have 51% if we compare that to the same
stuff young github repo study we set for
your tendency to not license narcotics
time which is basically not a big shame
because we don't - our product it has a
default like copyright advances to be
and also this last 2015 we're basically
at least ahead in terms of that overall
2015 stat entity you know we're at 51%
and it's a big number and you should
probably try to reduce time so that's
all I got if you want to talk more about
the types of licenses of white choose
one over another is only if ideas I
don't have time for that but if you want
we could talk about later that later
although I do work I'll be talking about
Pegasus I could let you know why each or
without that you need to that's all
[Applause]