PHP OAuth API authorizes user access using the OAuth protocol. It abstracts OAuth 1.0, 1.0a, and 2.0 in the same class. It provides built-in support for popular OAuth servers: 37Signals, Amazon, Buffer, Bitbucket, Box.net, Dailymotion, Discogs, Disqus, Dropbox with OAuth 1.0 and 2.0, Etsy, Eventful, Facebook, Fitbit, Flickr, Foursquare, github, Google with OAuth 1.0a and OAuth 2.0, Instagram, LinkedIn, Microsoft, Rdio, Reddit, RightSignature, Salesforce, Scoop.it, StockTwits, SurveyMonkey, Tumblr, Twitter, VK, Withings, Xero, XING, and Yahoo!. Every other OAuth server is supported by setting an endpoint URLs and other parameters using specific class variables or an external JSON configuration file. The class can also send requests to an API using the previously-obtained OAuth access token. For servers which support offline access, the class can renew expired tokens automatically using refresh tokens.
ObjectiveSync is a thin JDBC object persistence library. If features querying done in SQL, centralized object marshaling and unmarshaling where each object should know how to sync itself and its descendants, a single syntax for inserting and updating, Ruby-like objectivized JDBC fetching with exception handling, user-definable deep fetching and updating (almost Hibernate-like), batch API to avoid round-trips when submitting multiple queries, stats collection, and more.
deheader analyzes C and C++ files to determine which header inclusions can be removed while still allowing them to compile. This may result in substantial improvements in compilation time, especially on large C++ projects. It also sometimes exposes dependencies and cohesions of which developers were unaware.
SCaVis is an environment for scientific computation, data analysis, and data visualization designed for scientists, engineers, and students. The program can be used for function and data plotting in 2D and 3D, histograms, statistical analysis, and symbolic calculations using the Matlab/Octave high-level interpreted language.
Canari is a rapid transform development framework for Maltego. The original focus of Canari was to provide a set of transforms which would aid in the execution of penetration tests and vulnerability assessments. Ever since its first prototype, it has become evident that the framework can be used for much more than that. Canari is perfect for anyone wishing to graphically represent their data in Maltego without the hassle of learning a whole bunch of unnecessary stuff. It has generated interest from digital forensics analysts to pen-testers, and even psychologists. Canari's core features include an easily extensible and configurable framework which promotes maximum reusability, a set of powerful and easy-to-use scripts for debugging, configuring, and installing transforms, and a great number of community-provided transforms.