Tavenem 


  • 490 total downloads
  • last updated 5/21/2021
  • Latest version: 0.1.10-preview (prerelease)
  • wiki
An implementation of Tavenem.Wiki for ASP.NET MVC.
  • 458 total downloads
  • last updated 5/21/2021
  • Latest version: 0.3.1-preview (prerelease)
  • wiki
An auxilliary library for Tavenem.Wiki with interfaces and classes for web implementations.
  • 362 total downloads
  • last updated 5/16/2021
  • Latest version: 0.2.0-preview (prerelease)
  • chemistry
Model chemical formulae and physical substances.
  • 314 total downloads
  • last updated 5/21/2021
  • Latest version: 0.3.2-preview (prerelease)
  • wiki
A .NET wiki library.
  • 308 total downloads
  • last updated 4/8/2021
  • Latest version: 1.1.0
  • extensions
A collection of useful extension methods used within the Tavenem family of projects and packages.
  • 249 total downloads
  • last updated 5/3/2021
  • Latest version: 1.1.2
  • math
A collection of math utilities, including an assortment of constants, vectors and matrices for higher-precision datatypes, and geometric shapes.
  • 237 total downloads
  • last updated 5/5/2021
  • Latest version: 1.3.0
  • time
Provides classes capable of accurately representing extremely large and small time intervals, suitable for time scales such as the age of a universe, with precision down to Planck time.
  • 192 total downloads
  • last updated 5/3/2021
  • Latest version: 1.0.2
  • math number
A class for representing extremely large (or small) numbers with high precision.
  • 137 total downloads
  • last updated 4/8/2021
  • Latest version: 0.29.1-preview (prerelease)
  • repository
A persistence-agnostic repository library. Intended to be used to build other libraries which are decoupled from persistence choices.
  • 98 total downloads
  • last updated 5/4/2021
  • Latest version: 1.0.1
  • random
Random number generation with various distributions.
  • 90 total downloads
  • last updated 4/8/2021
  • Latest version: 1.0.0
  • diff
A simple diff-patch-merge implementation based on Google's algorithm. Simplifies and speeds up operations by only accepting strict, rather than fuzzy matching, for use cases where this is either expected or required.