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A PoC rubygem recommends you a bunch of gems by collaborative filtering approach(something like Amazon's "Customers Who Bought This Also Bought")

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gemstat is a a PoC rubygem recommends you a bunch of gems by collaborative filtering approach(something like Amazon's "Customers Who Bought This Also Bought"). For similarity scores, gemstat uses Euclidean Distance. gemstat also tells you not only suggested gems unveiled by collaborative filitering but also similar gems, dependencies of a gem and popular gems etc.

Usage

# Install(takes more than a few minutes)
$ gem install gemstat

# Show a list of gems which are similar to a given gem
$ gemstat look_like ../sinatra/Gemfile
aldebaran                     (0.5pt)
annyong                       (0.333pt)
aframe-switch                 (0.333pt)
acceptable                    (0.333pt)
angularjs_json_middleware     (0.333pt)
adsf                          (0.333pt)
anupom-anobik                 (0.333pt)
any_view                      (0.333pt)
arthurgeek-nyane              (0.333pt)
aslakhellesoy-bcat            (0.333pt)

# Show a list of gems which are suggested for a given gem
$ gemstat suggest_for activerecord
rspec                         (0.667pt)
activerecord                  (0.667pt)
tzinfo                        (0.333pt)

# Show a list of gems a given gem is required by
$ gemstat also_required actionview
aaf-lipstick
action_widget
actionmailer
actionpack
actionview-helpers-auto_tag_helper
actionview-pathfinder
actionview-rev_manifest
activerecord-userstamp
augit
aws_upload

# Show a list of gems a given gem dependents on
$ gemstat dependency actionview
activesupport
builder
erubis
rails-html-sanitizer
rails-dom-testing
actionpack
activemodel

Limitation

As of v0.3.0, only Linux and OSX are supported. Windows and other OS to be supported in the future.(only if this PoC gets successful)

License

MIT

TODO

  • Modify update subcommand to allow incremental update
  • Speed up by changing data cache strategy(migrate data stored in more than 100k files to single data file) and use C or mruby implementation for calculation part
  • Update README.md and gemstat.gemspec with better descriptions
  • Windows support (Now only Mac and Linux is supported)

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A PoC rubygem recommends you a bunch of gems by collaborative filtering approach(something like Amazon's "Customers Who Bought This Also Bought")

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