Search Results for "data capture framework"

The Acl (Advanced C/C++ Library) project a is powerful multi-platform network communication library and service framework, supporting LINUX, WIN32, Solaris, FreeBSD, MacOS, AndroidOS, iOS. Many applications written by Acl run on these devices with Linux, Windows, iPhone and Android and serve billions of users. There are some important modules in Acl project, including network communcation, server framework, application protocols, multiple coders, etc. The common protocols such as...

Advanced C/C++ library(ACL) for UNIX-like OS and WIN32 OS, including sync/async/ssl iostream for net/file, thread pool, process pool, db pool, server framework, event, memory, string, array/hash/ring/list, xml and json parser, http/smtp/icmp protocol, SSL/TLS, C unit test, etc

mediaTUM is free software written in Python for archiving and retrieval of images, documents and other research data. It was originally developed in the framework of the DFG project IntegraTUM and is continuously expanded with new functionalities as required.

Optimized open source 1G/10G sniffer library to get network data from network adapter without loss on high data rates. Come back soon to get new features.

This tool provides IP traffic information at a level between a simple traffic counter (e.g. darkstat) and full packet capture or intrusion detection. It collects packet and byte counts by host IP address, protocol, and port. The next phase of the project is to analyze and display this data.

Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read introduction article and a reference manual accompanies the library with examples and recommendations on how to use the library. Several graphical user interfaces are also available for the library.

This project aims the requirement of managed informations / documents in the treatment of patients, i.e. integrated care. The underlaying data model implements standards of electronic health recording, the project is based on a SQL db and Java EE framework. This is currently a student driven project for educational purposes.

A messaging framework that uses web services to enable interoperability between client and server applications. The data exchanging relies on SOAP 1.2 Message Transmission Optimized Mechanism (MTOM) protocol and occurs as file streaming over the web.

DSP stands for Data Server Pages, the APACHE HTTP server module, that provides PL/SQL Server scripting with variable injection preprocessor and features an efficient authorization and authentication framework on the Oracle database backend.

Paperboy WDM is a web development framework built around the concept of separating logic, content, and presentation without the complexities of SQL. It uses Paperboy RSS as a translation layer between content (in XML) and presentation.

jpcap is a set of Java classes which provide an interface and system for network packet capture. A protocol library and tool for visualizing network traffic is included. jpcap utilizes libpcap, a widely deployed system library for packet capture.

Harvest is a distributed search engine framework. It collects data using various methods like HTTP, FTP, News, local files etc., extracts relevant information, creates indexes and make them searchable using a Web interface. All of the collecting, extracti

Linux device driver and userspace library to provide for a method to packet capture at high data rates into a user-provided buffer. Tested to line speeds of up to 1Gb without packet loss. ** This project has moved to BitBucket ** https://bitbucket.org/robeden/pcap-ring-mm

A robust website scraping framework that uses XML, XPath, RegEx and scripting to consume, parse, normalize and traverse HTML based on a set of seed URLs. Scrape.NET is built using C#, TidyForNet (the p-invoke only version) and HTML Tidy.