Search Results for "document analysis"

Harper is an offline, privacy-first English grammar checker written primarily in Rust. It analyzes writing locally, avoiding the latency and data exposure associated with cloud-only services. The engine is designed to lint documents in milliseconds while using a small memory footprint. It can run through WebAssembly in browsers and applications or through native command-line and language-server components. Official integrations support editors and tools including Visual Studio Code, Neovim,...

RY GeoIP 3 is a powerful application that combines network and geolocation tools for comprehensive analysis. With its user-friendly interface and integration with Google Maps API and API Ninja DNS Lookups service, you can perform a wide range of operations, from geolocation lookups and ping tests to DNS analysis, traceroute, SSL certificate inspection, header data retrieval, and open port scanning. The ability to save data as PDFs and maps as images further enhances the utility of the...

...Internally, the project processes HTML documents, identifies relevant elements in the DOM, and builds extraction logic based on statistical or heuristic analysis of the training samples. The result is a developer-oriented tool that aims to automate common scraping workflows.

Sharing my document like SIEM | SOAR Use Cases, Incident Response Templates, Breach Runbook, Digital Forensics Tools, Penetration testing sample reports and Infosec Policies templates to help infosec community to build the SOC | MSSP's .

DSTK - DataScience ToolKit is an opensource free software for statistical analysis, data visualization, text analysis, and predictive analytics. Newer version and smaller file size can be found at: https://sourceforge.net/projects/dstk3/ It is designed to be straight forward and easy to use, and familar to SPSS user. While JASP offers more statistical features, DSTK tends to be a broad solution workbench, including text analysis and predictive analytics features. Of course you may specify...

Jericho HTML Parser is a java library allowing analysis and manipulation of parts of an HTML document, including server-side tags, while reproducing verbatim any unrecognised or invalid HTML.

SCAN (Smart Content Aggregation and Navigation) is a universal semantic content aggregator. It combines search, text analysis, tagging and metadata functions to provide new user experience of desktop navigation and document management.

The Document Analysis and Exploitation Platform is a Drupal based web interface to a cloud enabled Document Analysis resource set.

A system to perform analysis of large documents for the purpose of cataloging similar documents. Similarity is based upon contextual analysis of these documents done by identifying common words and proper nouns.

Common Library is a learning content and document management system that enables dynamic outcome-based learning object alignment through semantic analysis & granular addressability. For implementation questions contact http://www.bluefletch.com.

Irudiko is a library written in C++ for generating Locality Sensitive Hashing sketches from any textual and web document. Mainly designed to work with HTML pages, it has also an optimization support for English or Italian documents.

Qualiweb aims at providing semantic web metrics for modeling a website visitors needs according to a given taxonomy or document classification. Web metrics provided by Qualiweb give an indication of how successful each of the website topics have been.

Loganalyzer for Windows XP Firewall and Linux Iptables firewall. Generates a nice html document with statistics from all the pakets captured by the firewall. The program is written in Python and has an (optional) graphical interface.

SimpleRDF/XSL template simplifies RDF/XML sources as much as possible to allow easy processing. SimpleRDF/PHP5 parser takes advantage of SimpleRDF/XSL. It has extremly simple API. You can parse any RDF/XML compatible document (incl. RSS) and much more...

Mojo Webstats is a simple web statistics tool. It uses Javascript, PHP and MySQL to process web statistics. Includes: 1) date/time, 2) document location and title, 3) ip address and hostname, 4) browser version, 5) visitor resolution, and 6) referrer.