A full featured and extensible Nexus file parser in Ruby.

Data collection system for NetFox

Elixir and javascript have the capability of making good looking one liners, but what about Ruby? We can definitely make an awful looking one by adding a ';'. If you want to start defining some better looking one-liners then add the 'nicefn' gem to your project. Since the implementation files are small and this project has no required deps. You should also feel free to copy and paste the implementation directly into your project in an effort to avoid extra gems.

niconico search api client

It is an operation library for Nifty Cloud APIs that the server making, starting, stoping, and the server status confirming etc.

Adds Integer#nil_if_zero and Integer#nil_unless_zero.

NITFr makes it easy for Ruby applications to parse and extract content from NITF XML files, the standard format used in the news industry.

Nitro's visual theme, including page layout, styling and navigation

A tool to extract svg icons from icon fonts and generate helpers to render the icons.

Extends Nokogiri with useful methods.

Nokogiri DOM Range Implementatin based on DOM Standard specification.

Share memory by communicating

Reloading Rack development server (Shotgun fork with Rack 2.0+ support)

nothinginthispackage2

Surveys, like NPS.

Advanced ronn: nRonn. nRonn builds manuals in HTML and Unix man page format from Markdown. Ruby 2.7/3.0/3.1/3.2-dev are fully supported. You can use Nokogiri instead of deprecated hpricot. If you do not want to use pandoc, you should use nronn.

Engine providing key-value settings stored in db with a web UI.

Provides facilities for parsing & working with NuGet Versions, which are a superset of Semantic Versions 2.0.

A linear algebra library cooperating with NArray. This library calls blas and lapack routines for fast computations. This library has following functionalities. * xGEMM (multiply two matrices and add other matrix) * Solve LLS(Least Square Sum) problems * Computing determinant (using QR decomposition) * Solve eigenproblems (compute eigenvalues and eigenvectors) * (Pivoted) LU decompotision * SVD(Singular value decomposition) * QR decomposition * Cholesky decomposition

Number formatting and reading.