90 projects tagged "Apache 2.0"
KeyBox provides a way to manage OpenSSH v2 public keys, and can start a Web-based SSH terminal to execute commands and scripts on multiple SSH sessions simultaneously. The authorized_keys file is generated and distributed based on relationships maintained in the application. This allows for centralized management to help prevent public key sprawl. Also, composite terminals or scripts can be created so that commands can be shared across SSH sessions.
uma::bson is a DOM-style C++ API for reading/writing BSON data. Unlike the MongoDB C++ API, which exposes a read-only interface with a separate interface for creating a BSON representation, this API allows reading/writing on the existing data. The API is designed primarily for serialising/deserialising BSON data to/from streams (files, socket connections, etc.).
Citrus is a test framework written in Java that enables automated integration testing of message-based enterprise SOA applications. The tool can easily simulate surrounding systems across various transports and protocols (e.g. JMS, SOAP WebServices, HTTP, TCP/IP, etc.) in order to perform end-to-end use case testing. Citrus provides strong validation mechanisms for XML message contents and allows you to build complex testing logic such as sending and receiving messages, database validation, automatic retries, variable definitions, dynamic message contents, error simulation, and many more.
Vaadin is a Web application framework for Rich Internet Applications (RIA). In contrast to Javascript libraries and browser-plugin based solutions it features a server-side architecture, which means that the majority of the logic runs on the servers. AJAX technology is used on the browser side to ensure a rich and interactive user experience. Vaadin is a big collection of UI components. There are server-side components like Button, Table, and Tree that you use to compose the application user interface. The components use events, listeners, and data binding to communicate with each other and the business logic. Vaadin is a robust architecture for rapid application development. The component-based architecture together with the data binding features help you to build applications that are easily modularized and refactored as needed.
Weed-FS is a simple and highly scalable distributed file system. There are two objectives: to store billions of files, and to serve the files fast! Instead of supporting full POSIX file system semantics, it implements only a key-file mapping. Instead of managing all file metadata in a central master, it manages file volumes in the central master and lets volume servers manage files and the metadata. This relieves concurrency pressure from the central master and spreads file metadata into volume servers' memories, allowing faster file access with just one disk read operation. It is modelled on Facebook's Haystack design paper. Only 40 bytes of disk storage are required for each file's metadata, and disk reads are O(1).
SharpTAL compiles XML-based templates to .NET assemblies. It contains a complete implementation of the Zope Page Templates (ZPT) language, a system which can generate HTML, XML, or plain text output. ZPT is formed by the Template Attribute Language (TAL), the Expression Syntax (TALES), and the Macro Expansion Template Attribute Language (METAL).
Quoddy is part of the Fogcutter suite of tools for building intelligent applications. It is basically a sort of "mini Facebook"-like social networking interface. It builds on the APIs for social-graph management, activity stream, activity profiling, tagging, etc. It provides the front-end for managing connections and for letting users provide information about themselves, their interests, etc. But unlike Facebook, there are no silly Pirates vs. Ninjas or Farmville applications.
Heceta is part of the Fogcutter suite of tools for building intelligent applications. It is an "enterprise social search" search engine that leverages all of the various bits of information from Neddick, Quoddy, and other source of "social" knowledge to provide better, deeper, and more insightful search results than you can get from simple document content analysis. Intranet searching in organizations is usually very poor, largely because page-rank type algorithms don't work well due to the lack of links between documents. But by supplementing the content analysis with scoring based on tags, social graph connections, activity-stream information, etc., and applying machine-learning / artificial-intelligence techniques, Heceta can do a superior job of locating the knowledge and information a user needs.