Search Results for "network graph analysis" - Page 8
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Showing 902 open source projects for "network graph analysis"
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DEVS-Suite Simulator
Component, CA, and CCA models; superdense time, ETL DB, testing, etc.
Integrated component-based and cellular automata (CA) Parallel DEVS simulator. Version: 8.0 [Aug `26], 7.0 [Jan `23], 6.1 [Apr. `21], 6 [Sep. `20] , 5 [Jul. `19], 4 [Mar. `18], 3 [Apr. `15], 2.1 [Feb. `09], 2 [`03] See PVM: Visual Persistent Hierarchical Component-based Modeler (https://acims.asu.edu/persistent-visual-modeler/ ) and CoSMoSim: hierarchical visual modeling, database model repository, families of models, statecharts, partial-code generation for XML/DEVS-Suite models... -
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XRAY
XRay for recon, mapping and OSINT gathering from public networks
XRAY is a modular security toolset that helps developers and security professionals analyze, fuzz, and test web applications, protocols, and network services for vulnerabilities. It provides a framework for writing and executing inspection modules that can parse structured data (JSON, XML, HTML), traverse graphs of endpoints, and perform intelligent probing guided by discovered surface area. XRay is typically used as a reconnaissance and vulnerability discovery engine in red-team or... -
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Ring
Simple and flexible programming language for applications development
The Ring is a practical general-purpose multi-paradigm language. The supported programming paradigms are imperative, procedural, object-oriented, declarative using nested structures, functional, meta programming and natural programming. The language is portable (MS-DOS, Windows, Linux, macOS, Android, WebAssembly, Microcontrollers, etc.) and can be used to create Console, GUI, Web, Games and Mobile applications. The language is designed to be simple, small and flexible. Ring is... -
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imgclsmob Deep learning networks
Sandbox for training deep learning networks
...The project is frequently used by developers who want to study modern convolutional neural network designs and compare their performance across datasets. -
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xsd2pgschema
Relational database replication tool based on XML Schema
xsd2pgschema is a Java application suite, which converts XML Schema 1.1 (hierarchical data model) to PostgreSQL DDL (relational data model) and supports XML data migration into PostgreSQL based on the XML Schema without defects on information content. It also supports full-text indexing via either Apache Lucene or Sphinx Search utilizing the relational data model. File conversion from XML to CSV, TSV, or JSON is possible as well as mapping XML Schema to JSON Schema. Obtained PostgreSQL... -
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X-Itools: Email/Web Log Search Engine
Strong Email & Apache Log Analysis with Active Security Features
...Module renamed "X-Itools ELSE", for "X-Itools E-mail Log Search Engine". Some features: Log analysis and correlation of Postfix and Exchange servers, statistics, policy manager, in-deep analysis, automated network graphs for e-mail tracing, CSV export... The Swiss knife of Messaging Admins. In 2015, X-Itools ELSE is no more limited to E-mail logs: Apache logs are also processed and related stats and dashboards will be there! -
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Croizat
A software package for quantitative analysis in Panbiogeography
Croizat is a free, user-friendly, cross-platform desktop software package which biologists can use to integrate and analyze spatial data on species or other taxa and to explore geographical patterns in diversity under a panbiogeographic and graph-theoretic approach. -
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Volatility
An advanced memory forensics framework
Volatility is a widely used open-source framework for analyzing memory captures (RAM dumps) from Windows, Linux, and macOS systems. It enables investigators and malware analysts to extract process lists, network connections, DLLs, strings, artifacts, and more. Volatility supports many plugins for detecting hidden processes, malware, rootkits, and event tracing. It’s essential in digital forensics and incident response workflows. -
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Kindling
eBPF-based Cloud Native Monitoring Tool
Kindling is an eBPF-based cloud-native monitoring tool, which aims to help users understand the app behavior from kernel to code stack. With trace profiling, we hope the user can understand the application's behavior easily and find the root cause in seconds. Besides trace profiling, Kindling provides an easy way to get an overview of network flows in the Kubernetes environment and many built-in network monitor dashboards like TCP retransmit, DNS, throughput, and TPS. Not only as a network... -
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Digital Forensics Guide
Learn all about Digital Forensics and Computer Forensics
The Digital Forensics Guide repository is a comprehensive, structured reference for investigators, analysts, students, and cybersecurity professionals interested in digital forensics principles, tools, methodologies, and workflows. It organizes foundational topics such as evidence acquisition, disk and memory analysis, file system structures, network forensics, artifact extraction, timeline generation, and reporting into digestible modules that help build core competency. Alongside conceptual explanations, the guide includes practical examples with widely used tools (like Autopsy, Volatility, Sleuth Kit, and network analysis suites), illustrating how investigations proceed from initial data capture to final analysis. -
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WoPeD is a Java-based graphical workflow process editor, simulator and analysor using Petri Nets and supporting the PNML format.
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MicroRNAs (miRNAs) are of significance in tuning and buffering gene expression. Despite abundant analysis tools have been developed in the last two decades, plant miRNA identification from next-generation sequencing (NGS) data remains challenging. Here present a user-friendly pure Java-based software package, SRICATs, which enable researchers to perform all steps of plant miRNA analysis based on convolutional neural network methods.
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This is an implementation of brazilian portuguese metaphone. Its importance is on strings lookups like names, streets names, words (aspell) etc, made as simple as possible. There is a very large text analysis field to explore with it.
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OnionSearch
Search multiple Tor .onion engines at once and collect hidden links.
OnionSearch is a Python-based command-line tool designed to collect and aggregate links from multiple search engines on the Tor network. The script works by scraping results from a variety of .onion search services, allowing users to perform a single query while gathering results from many sources at once. This approach helps researchers and investigators locate hidden services more efficiently without manually querying each individual search engine. It is primarily intended for educational... -
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Neural Tangents
Fast and Easy Infinite Neural Networks in Python
Neural Tangents is a high-level neural network API for specifying complex, hierarchical models at both finite and infinite width, built in Python on top of JAX and XLA. It lets researchers define architectures from familiar building blocks—convolutions, pooling, residual connections, and nonlinearities—and obtain not only the finite network but also the corresponding Gaussian Process (GP) kernel of its infinite-width limit. With a single specification, you can compute NNGP and NTK kernels,... -
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Guide-CEH-Practical-Master
Study reference repository for Certified Hacker Practical examination
Guide CEH Practical Master is a study and reference repository for the Certified Ethical Hacker Practical examination. It documents the exam format, practical challenge structure, environment, and general preparation considerations. The guide covers network scanning, enumeration, vulnerability analysis, system security, cryptography, packet analysis, web vulnerabilities, and digital forensics. It collects references for widely used security tools such as Nmap, Wireshark, Metasploit, Hashcat, and SQLmap. Practice resources include labs, vulnerable machines, challenge platforms, cheat sheets, and external tutorials. ... -
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NExfil
Fast OSINT tool for discovering web profiles by username
NExfil is an open source OSINT (Open Source Intelligence) tool designed to locate user profiles across the web based on a given username. Developed in Python, the tool automates the process of checking hundreds of websites to determine whether a specific username exists on those platforms. By performing automated queries across numerous services, NExfil helps investigators, researchers, and security professionals quickly identify potential accounts associated with a particular username. The... -
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Truffle
A tool for developing smart contracts. Crafted with the finest cacaos.
The most comprehensive suite of tools for smart contract development. Quickly build, test, debug, and deploy using the Truffle CLI. Write scripts and plugins to automate common processes. Interact directly with the blockchain using the Truffle console. Write tests in Solidity, JavaScript, and TypeScript. Truffle will manage your entire workflow. Get a deeper understanding of transactions with the Truffle debugger. Step in/out, set breakpoints, and analyze variables through the CLI and the... -
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Coca
Coca is a toolbox which is design for legacy system refactoring
Coca is a toolbox that is design for legacy system refactoring and analysis, including call graph, concept analysis, api tree, and design patterns suggestions. Requirements: graphviz for dot file to image (such as svg, png). The easiest way to get coca is to use one of the pre-built release binaries which are available for OSX, Linux, and Windows on the release page. -
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Capacity Planning & Management Software
Free & Open Capacity Planning Software in a Complete Virtual Machine
Every Profession has some sort of Resource to manage, be it materials, money, physical or logical resources & with it some vital queries to be answered: At what Rate is my Resource getting consumed? How Long will current stock last? What will be near future requirement? In Just Two Simple steps of Defining Your Resource & Actively Tracking its Consumption, you will be in total control of your Resource, with this Software. After starting this VM, from any PC on your Local Network,... -
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funNLP
Resources, corpora, and tools for Chinese natural language processing
FunNLP is a large, curated collection of resources, corpora, and tools for Chinese natural language processing (NLP). It aggregates datasets, lexicons, wordlists, sentiment dictionaries, knowledge graphs, and pretrained model references, serving as a one-stop resource hub for Chinese NLP practitioners. The repository is organized into categories such as sentiment analysis, text classification, named entity recognition, knowledge graphs, and various lexicons (e.g. sensitive words, emotion... -
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BloodHound Legacy
Six Degrees of Domain Admin
BloodHound Legacy is the deprecated open‑source version of the BloodHound Active Directory attack path analysis tool. It uses graph theory to model and visualize privileged relationships in AD, Entra ID, and Azure environments. Security professionals use it to enumerate domain privilege escalation paths, misconfigurations, and attack surfaces in corporate networks -
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Spektral
Graph Neural Networks with Keras and Tensorflow 2
Spektral is a Python library for graph deep learning, based on the Keras API and TensorFlow 2. The main goal of this project is to provide a simple but flexible framework for creating graph neural networks (GNNs). You can use Spektral for classifying the users of a social network, predicting molecular properties, generating new graphs with GANs, clustering nodes, predicting links, and any other task where data is described by graphs. -
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WTE
Forensic Windows Triage Environment
* Files are compressed and ENCRYPTED so are identified as "Malware" by Sourceforge. Criminal Investigators auxiliary in conducting investigations on computer systems. WTE is an easy to use, integrated forensic system that enables an investigator to safely image, preview and analyze internal hard drives (DeadBox), and also to conduct live forensics (LiveBox) or data recovery, using their tool(s) of choice. Safely and Easily Search and Triage with no need to disassemble computers or... -
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hloc
Visual localization made easy with hloc
...It implements Hierarchical Localization, leveraging image retrieval and feature matching, and is fast, accurate, and scalable. This codebase won the indoor/outdoor localization challenges at CVPR 2020 and ECCV 2020, in combination with SuperGlue, our graph neural network for feature matching. We provide step-by-step guides to localize with Aachen, InLoc, and to generate reference poses for your own data using SfM. Just download the datasets and you're reading to go! The notebook pipeline_InLoc.ipynb shows the steps for localizing with InLoc. It's much simpler since a 3D SfM model is not needed. ...
