Open Source Linux Information Analysis Software - Page 3
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Information Analysis Software for Linux
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asammdf
Fast Python reader and editor for ASAM MDF / MF4 (Measurement Format)
*asammdf* is a fast Python parser and editor for ASAM (Associtation for Standardisation of Automation and Measuring Systems) MDF / MF4 (Measurement Data Format) files. It supports MDF versions 2 (.dat), 3 (.mdf) and 4 (.mf4). *asammdf* works on Python 2.7, and Python >= 3.4 -
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miRDP2
Accurately and fast analyzing microRNAs transcriptome in plants
miRDeep-P2 (miRDP2) is developed to accurately and fast analyze microRNAs (miRNAs) transcriptome in plants. It is adopted from miRDeep-P (miRDP) with new strategies and overhauled algorithm. We have tested miRDP2 to analyze miRNA transcriptomes in such plants with gradually increased genome size as Arabidopsis, rice, tomato, maize and wheat. Compared with miRDeep-P and several other computational tools, miRDP2 processed NGS data with superior speed. By incorporating newly updated plant miRNA annotation criteria, the accuracy of miRDP2 is also markedly improved. Our results demonstrate miRDP2 as a fast and accurate tool for analyzing the miRNA transcriptome in plants. Reference: https://doi.org/10.1093/bioinformatics/bty972 -
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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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Priority Estimation Tool (AHP)
PriEsT is a decision making tool for Analytic Hierarchy Process (AHP).
Priorty Estimation Tool (PriEsT) is a decision analysis tool. You can use it for ranking the options you have, or alternatively, you may use it for resource allocation (budgeting) problems. In PriEsT, you enter a list of available options and then define your criteria for prioritization. After defining criteria, PriEsT allows you to enter your judgements against each criterion, which are then used to calculate the final ranking (or weights). Please cite this if you find it useful:- Siraj, S., Mikhailov, L. and Keane, J. A. (2015), "PriEsT: an interactive decision support tool to estimate priorities from pairwise comparison judgments". International Transactions in Operational Research. 22: 217–235. doi:10.1111/itor.12054 -
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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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JeeSite
A basic enterprise information development platform
JeeSite is a high-efficiency, high-performance, and strong security open source Java EE rapid development platform based on a number of excellent open source projects, highly integrated and packaged. JeeSite is the best basic platform solution for you to quickly complete your project. JeeSite is the best study case for you to learn the Java platform. JeeSite is also the best assistant for private work. JeeSite is a Java-based development platform built on the Spring Framework, with Spring MVC as the model view controller, MyBatis as the data access layer, Apache Shiro as the authority authorization layer, Ehcahe for caching common data, and Activit as the workflow engine. It is the best integration in the JavaEE world. JeeSite is mainly positioned in the field of enterprise informatization. It has built-in basic functions of enterprise informatization system and efficient code generation tools. -
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Plausible Analytics
Simple, open-source, lightweight and privacy-friendly web analytics
Plausible is lightweight and open-source web analytics. No cookies and fully compliant with GDPR, CCPA and PECR. Made and hosted in the EU, powered by European-owned cloud infrastructure. Frustrated with Google Analytics? So are we and that's why we built Plausible Analytics, a simple, lightweight (< 1 KB), open source, and privacy-friendly alternative that doesn't come from the adtech world. Web analytics went from a simple, fun and useful practice for site owners to a data-grabbing machine for surveillance capitalism. Google Analytics is frustrating to use, difficult to understand, slow to load and privacy-invasive too. Plausible Analytics is built for privacy-conscious site owners. You get valuable and actionable stats to help you improve your efforts while your visitors keep having a nice and enjoyable experience. Plausible is simple analytics. It is easy to understand and it cuts through the noise. -
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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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Epidat
Statistical data analysis
Programa multiplataforma de libre distribución para el análisis estadístico y epidemiológico de datos. Free distribution cross-platform program for statistical and epidemiological analysis of data. Sitio web: http://www.sergas.es/Saude-publica/EPIDAT Souceforge: https://sourceforge.net/projects/epidat/ Wikipedia: https://es.wikipedia.org/wiki/Epidat -
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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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jBPM
open-source, flexible Business Process Management (BPM) in Java
jBPM is a business process management system. The light-weight, embeddable engine can execute native BPMN2. jBPM offers eclipse-based and web-based tooling for developers and business users to create, monitor and manage your processes. -
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wview is a unix application for weather stations. It archives weather data from the station. Generates full html web sites with graphics. ftp/ssh export capability. MySQL/PostgreSQL archiving. International. Weather alarms. Data feed. RSS feed.
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A code for fast multi-dimensional density estimation . Instead of assuming an a-priori metric definition, it calculates a locally adaptive metric for each data point by using, a Shannon Entropy based, binary space partitioning scheme.
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The purpose of this program is to teach a computer to classify plants via their leaves. You just need to input the image of a leaf(acquired from scanner or camera), then the computer can tell you what kind of plant it is.
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MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.
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DataCleaner
Data quality analysis, profiling, cleansing, duplicate detection +more
DataCleaner is a data quality analysis application and a solution platform for DQ solutions. It's core is a strong data profiling engine, which is extensible and thereby adds data cleansing, transformations, enrichment, deduplication, matching and merging. Website: http://datacleaner.github.io -
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C++, Matlab and Python library for Hidden-state Conditional Random Fields. Implements 3 algorithms: LDCRF, HCRF and CRF. For Windows and Linux, 32- and 64-bits. Optimized for multi-threading. Works with sparse or dense input features.
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Open source Algol 68 implementations
Implementations for the Revised Report language
This project offers open source implementations for UNESCO/IFIP's Algol 68 (the Revised Report language). The project offers two implementations: Implementation 1 is Algol68G: a recent checkout hybrid compiler/interpreter by Marcel van der Veer, supporting arbitrary arithmetic, partial parametrisation, complex numbers, POSIX threads, GNU plotutils, GNU scientific library, curses, sound, TCP sockets, RegEx and PostgreSQL. Inplementation 2 is algol68toc, a port by Sian Mountbatten of the vintage Algol68RS (UK Defense Research Agency) compiler. The implementation emits C code. -
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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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ThoughtFlow-Sys is a new computer neuropsychological test developed in Python to study the verbal expression of thought flow, using a modification of Jung´s Word-Association Test. © 2008 - UNIFESP / Rodrigo C. Vertulo / Prof. Dr. Carlos J. R. Campos
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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/ -
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javahexeditor Java Hex Editor
A hex editor Eclipse plugin and multi-platform desktop application
You can install the latest Eclipse plugin version from the update site https://javahexeditor.sourceforge.io/update or the Eclipse Marketplace https://marketplace.eclipse.org/content/java-hex-editor. Older versions of the Eclipse plugin are available via the update site for the version, e.g. https://javahexeditor.sourceforge.io/update/0.5.1 You can download the latest stand-alone version and older versions on the "Files" tab. -
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Source code from the Research Institute for Signals, Systems and Computational Intelligence http://fich.unl.edu.ar/sinc
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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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NGSEP
NGSEP (Next Generation Sequencing Experience Platform)
NGSEP is an integrated framework for analysis of short and long DNA high throughput sequencing reads. The current version provides functionalities for both de-novo and reference guided analysis of sequencing data, including genome assembly, read mapping, variants detection and genotyping and de-novo analysis of data generated from reduced representation protocols. NGSEP also provides modules for analysis of genomic variation databases (VCF files), including functional annotation, filtering, format conversion, comparison, clustering, imputation, introgression analysis and different kinds of statistics. Since version 4, we provide functionalities for management of genomes and transcriptomes, including genome alignment and annotation of transposable elements. A complete list of functionalities is available in our wiki (https://sourceforge.net/p/ngsep/wiki/Home/). BEFORE DOWNLOADING: The green button directs to the jar for command line usage. See the wiki for the GUI and other options
