Project

Reverse Dependencies for rack

The projects listed here declare rack as a runtime or development dependency

0.01
No commit activity in last 3 years
No release in over 3 years
Not much to explain. Not a lot of code, but wanted it packaged up for easy use/deployment.
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0.01
No release in over 3 years
Low commit activity in last 3 years
Rack middleware for building multi-protocol streaming rack endpoints
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0.01
Low commit activity in last 3 years
A long-lived project that still receives updates
Rack middleware to remove cookies at user-defined paths.
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0.01
No release in over 3 years
Low commit activity in last 3 years
Rack::TestApp is another testing helper library for Rack application. IMO it is more intuitive than Rack::Test.
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0.01
No commit activity in last 3 years
No release in over 3 years
Allow web service clients to specify the request time zone in an HTTP header.
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No commit activity in last 3 years
No release in over 3 years
Rack middleware for using the Authorization header with token authentication
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0.01
Low commit activity in last 3 years
A long-lived project that still receives updates
A web console for Rack apps.
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0.01
Low commit activity in last 3 years
A long-lived project that still receives updates
Middleware uses wwwhisper service to authorize requests.
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0.01
No commit activity in last 3 years
No release in over 3 years
RakeUp provides a set of tasks to automate the management of a local Rack based web application via Rake.
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0.01
Repository is archived
No commit activity in last 3 years
No release in over 3 years
Rakwik is a server-side tracker integration for the Piwik opensource web statistics software. It's easy to integrate into rack-based applications and does not require frontend Javascript inclusion.
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0.01
No commit activity in last 3 years
No release in over 3 years
link_to, content_tag, stylesheet_link_tag, javascript_include_tag, etc
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0.01
No commit activity in last 3 years
No release in over 3 years
Easily runs a rack app for tests that hit web APIs
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0.01
No release in over 3 years
Renalware uses demographic, clinical, pathology, and nephrology datasets to improve patient care, undertake clinical and administrative audits and share data with external systems.
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