Open Source Linux Information Analysis Software - Page 2
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Information Analysis Software for Linux
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Passwordless Authentication and Passwordless SecurityIt’s no secret — passwords can be a real headache, both for the people who use them and the people who manage them. Over time, we’ve created hundreds of passwords, it’s easy to lose track of them and they’re easily compromised. Fortunately, passwordless authentication is becoming a feasible reality for many businesses. Duo can help you get there.
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Comprehensive Cybersecurity to Safeguard Your Organization | SOCRadarProtect your organization from cyber threats with SOCRadar’s cutting-edge threat intelligence. Gain 360° visibility into your digital assets, monitor the dark web, and stay ahead of hackers with real-time insights. Start for free and transform your cybersecurity today.
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Java Universal Network/Graph Framework
Java graph/network library
JUNG provides a common and extendible language for the modeling, analysis, and visualization of data that can be represented as a graph or network. New version now available on GitHub: https://github.com/jrtom/jung/releases/tag/jung-2.1 -
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DataEase
Data visualization analysis tool
An open source data visualization analysis tool available to everyone. DataEase is an open-source data visualization analysis tool that helps users quickly analyze data and gain insight into business trends, so as to achieve business improvement and optimization. DataEase supports rich data source connections, can quickly create charts by dragging and dropping, and can easily share with others. Supports rich chart types (Apache ECharts / AntV), supports drag-and-drop method to quickly create dashboards. Support direct connection mode, local mode (based on Apache Doris / Kettle implementation). Support various data sources such as data warehouse/data lake, OLAP database, OLTP database, Excel data file, API, etc. Open source and open: zero threshold, quick access and installation online; quick access to user feedback, new versions released monthly. pport multiple data sharing methods to ensure data security. -
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GridLAB-D is a new power system simulation tool that provides valuable information to users who design and operate electric power transmission and distribution systems, and to utilities that wish to take advantage of the latest smart grid technology. It incorporates advanced modeling techniques with high-performance algorithms to deliver the latest in end-use load modeling technology integrated with three-phase unbalanced power flow, and retail market systems. Historically, the inability to effectively model and evaluate smart grid technologies has been a barrier to adoption; GridLAB-D is designed to address this problem. User documentation can be found at: http://gridlab-d.shoutwiki.com/wiki/Quick_links The source code is available from GitHub. See https://github.com/gridlab-d/gridlab-d. Issue tracking is handled by GitHub. See https://github.com/gridlab-d/gridlab-d/issues.
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Magstripper is a magnetic card reader and decoder that takes raw waveform information from a magnetic audio head (soldered directly to a mono audio jack) and processes it via a mic input. It also includes a multi-user door lock access control system.
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Red Hat Enterprise Linux on Microsoft AzureRed Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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Jojos Binary Diff
Binary Diff and Undiff Utility
JDIFF is a program that outputs the differences between two binary files, either in binary format or in human readable format (detailed or summarized) and then allows to reconstruct the second file from the first one and the diff-file. -
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LabPlot
Data Visualization and Analysis
LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone. -
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hexcompare
console-mode visual binary diff
hexcompare is a curses-based utility to compare and identify differences between two binary files. These differences are then represented visually with an interactive block diagram. -
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Dshell
Dshell is a network forensic analysis framework
An extensible network forensic analysis framework. Enables rapid development of plugins to support the dissection of network packet captures. This is a major framework update to Dshell. Plugins written for the previous version are not compatible with this version, and vice versa. By extension, dpkt and pypcap have been replaced with Python3-friendly pypacker and pcapy (respectively). Enables development of external plugin packs, allowing the sharing and installation of new, externally-developed plugins without overlapping the core Dshell libraries. Plugins can now use all output modules, available to the command line switch, -O. That does not mean every output module will be useful to every plugin (e.g. using netflow output for a plugin that looks at individual packets), but they are available. -
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Converts Google Earth KML file to a CSV file, and vice versa. This enables you to plot all custom POIs with Google Earth first before transferring them into your Garmin GPS using the POI Loader.
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Powering the best of the internet | FastlyEnsure your websites, applications and services can effortlessly handle the demands of your users with Fastly. Fastly’s portfolio is designed to be highly performant, personalized and secure while seamlessly scaling to support your growth.
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QtiPlot is a user-friendly, platform independent data analysis and visualization application similar to the non-free Windows program Origin.
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Lush is a Lisp dialect with extensions for object-oriented and array-oriented programming. Lush is intended for prototyping numerically intensive applications and is designed for easy integration of existing C/C++/Fortran codes.
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JMulTi is an interactive software designed for univariate and multivariate time series analysis. It has a Java graphical user interface that uses an external engine for statistical computations. It uses the framework JStatCom.
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AlphaPlot
Interactive scientific graphing and data analysis software.
Alpha Plot can generate different types of 2D and 3D plots (such as line, scatter, bar, pie, and surface plots) from data that is either imported from ASCII files, entered by hand, or calculated using formulas. The data is held in spreadsheets which are referred to as tables with column-based data (typically X and Y values for 2D plots) or matrices (for 3D plots). The spreadsheets as well as graphs and note windows are gathered in a project and can be organized using folders. The built-in analysis operations include column/row statistics, (de)convolution, FFT and FFT-based filters. Scripting Console support in-place evaluation of mathematical expressions and scrtipting interface to ECMAScript like dynamic scripting language(java script). The GUI of the application uses the Qt toolkit. Periodic test builds are available here http://alphaplot.sourceforge.net/test-build.html -
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Advanced Normalization Tools ( ANTs )
Multidimensional image registration, segmentation and statistics
*** This is an archive only, please see https://github.com/ANTsX for this and other ANTsX tools *** Image registration with variable transformations (elastic, diffeomorphic, diffeomorphisms, unbiased) and similarity metrics (landmarks, cross-correlation, mutual information, etc). Image segmentation with priors & nonparametric, multivariate models. *** Current ANTs code, binaries (Mac, Windows, Linux) and support is hosted at Github *** https://github.com/ANTsX/ANTs Docker hub: https://hub.docker.com/u/antsx Older code and binaries remain available here on SourceForge (1.9x, pre 2014). If you are new to ANTs you should probably go to Github and get the latest code. -
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OMR Reader
OMR Sheets Data Retrieval Software
OMR Reader is an application to read data from scanned images of OMR sheets. You can first create a template for a particular form and save it as a .omr file. To create a template, use a form with all filled marks. The program will automatically detect the marks. Now choose the marks for a group, and name the group. Do this for all the option groups on the form. Now save the info of these groups in a .omr file. For different forms, you can have different .omr files. These files can later be used for batch processing the scanned images of OMR sheets. Please rate... -
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Korean Analyzer Rhino
Parsing Korean words by morpheme and part-of-speech
RHINO parses Korean words by morpheme and part-of-speech. Its dictionaries are based on Korean Modern Tagged Corpus(12 million phrases scale) which was made by Korean government. So it analyses many cases of stems and endings. And the newly developed Dynamic Dictionary Technology can make words to react with their context. That is, a programmed database. For more information see the files in the help folder. -
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Simple Event Correlator (SEC) is a lightweight event correlator for network management, log file monitoring, security management, fraud detection, and other tasks which involve event correlation.
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SPPAS
SPPAS - the automatic annotation and analyses of speech
SPPAS is a scientific computer software package written and maintained by Brigitte Bigi of the Laboratoire Parole et Langage, in Aix-en-Provence, France. Available for free, with open source code, there is simply no other package for linguists to simple use in the automatic annotations of speech, the analyses of any kind of annotated data and the conversion of annotated files. SPPAS is able to produce automatically speech annotations from a recorded speech sound and its orthographic transcription. SPPAS is helpful for the analysis of any annotated data: estimate statistical distributions, make requests, manage files, visualize annotations. SPPAS offers a file converter from/to a wide range of formats: xra, TextGrid, eaf, trs... <https://sppas.org> -
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ProM is the comprehensive, extensible framework for process mining. Process Mining deals with the a-posteriori analysis of (business) processes using enactment logs.
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kepler.gl
Kepler.gl is a powerful open source geospatial analysis tool for data
Kepler.gl is a data-agnostic, high-performance web-based application for visual exploration of large-scale geolocation data sets. Built on top of Mapbox GL and deck.gl, kepler.gl can render millions of points representing thousands of trips and perform spatial aggregations on the fly. Kepler.gl is also a React component that uses Redux to manage its state and data flow. It can be embedded into other React-Redux applications and is highly customizable. For information on how to embed kepler.gl in your app take a look at this step-by-step tutorial on vis.academy. Built with Deck.gl, Kepler.gl utilizes WebGL to render large datasets quickly and efficiently. You can easily drag and drop a dataset, add filters, apply scales, and do aggregation on the fly. Built on React & Redux, Kepler.gl can be embedded inside your own mapping applications. -
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The National Library of New Zealand's Metadata Extraction Tool automatically extracts preservation-related metadata from digital files, then output that metadata in XML formats. It can be used through a graphical user interface or command-line interface. Please take the latest code from 'https://github.com/DIA-NZ/Metadata-Extraction-Tool.git'. The code on source forge will not be updated henceforth as it is moved to github.
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Stripe Snoop reads the contents of a magstripes (Track 1, 2, or 3) through different hardware interfaces and not only displays the contents, but uses a CDDB-like database of card formats to try and figure out what the contents mean.
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NOTE THAT THE SOURCE CODE AND ISSUE TRACKER HAVE NOW MOVED TO GITHUB. FIND US AT https://github.com/GateNLP/ GATE (General Architecture for Text Engineering) is an architecture, framework and development environment for developing, evaluating and embedding Human Language Technology. See http://gate.ac.uk for full details.
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Open Source Android Forensics Toolkit
OSAF-TK your one stop shop for Android malware analysis and forensics.
Welcome to OSAF! The OSAF-Toolkit was developed, as a senior design project, by a group of IT students from the University of Cincinnati, wanting to pioneer and pave the way for standardization of Android malware analysis. The OSAF-Toolkit is built from Ubuntu 11.10 and pre-compiled with all of the tools needed to rip apart applications for code review and malware analysis. Our primary goal with the toolkit is to be able to make application analysis as easy as possible. We also wanted to create a community where security professionals, analysts, developers and newcommers can learn, discuss and share methodologies with one another. Follow us on Twitter @OSAF_Community Follow us on Facebook http://www.facebook.com/OpenSourceAndroidForensics -
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Open Source Data Quality and Profiling
World's first open source data quality & data preparation project
This project is dedicated to open source data quality and data preparation solutions. Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data Creation, Meta Data Discovery, Anomaly Discovery, Data Cleansing, Reporting and Analytic. It also had Hadoop ( Big data ) support to move files to/from Hadoop Grid, Create, Load and Profile Hive Tables. This project is also known as "Aggregate Profiler" Resful API for this project is getting built as (Beta Version) https://sourceforge.net/projects/restful-api-for-osdq/ apache spark based data quality is getting built at https://sourceforge.net/projects/apache-spark-osdq/
