Open Source Data Analytics Tools - Page 16
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Data Analytics Tools
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catcher(keylogger)
Catcher is a keylogger tool
Catcher is free tool for everyone that needs a keylogger to their project. * A new catcher will not be released this year(2013). But scheduled early next year. *manny016 is busy at the moment. *Some issues are being fixed and testing for issues. *The new software's finished last march 2013 but it's being hold because of some personal issues. Thank You For Your Support Please Never Stop Waiting!!! So what's to wait in the new catcher? Data storage is in xml. VB language. Data is fixed for data analysis. Not detected as a maleware any more. Easy to use, open and terminate. -manny016 -
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chipexo
model based analysis of ChIP-exo data
Here we developed a novel analysis framework named MACE (model-based analysis of ChIP-exo) dedicated to ChIP-exo data analysis. MACExo has the following four steps: 1) sequencing data normalization and bias correction; 2) signal consolidation and noise reduction; 3) single nucleotide resolution border detection using Chebyshev Inequality; and 4) border matching using Gale-Shapley’s stable matching algorithm. When applied to yeast Reb1 and human CTCF ChIP-exo data, MACE is able to define TFBSs with higher sensitivity, specificity and spatial resolution, as evidenced by multiple criteria, such as motif enrichment, sequence conservation, nucleosome positioning, and open chromatin states. -
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ckon
automatic build tool for ROOT data analysis software
ckon is a C++ program/tool which automatically takes care of compilation, dictionary generation and linking of programs and libraries developed for data analyses within the CERN ROOT analysis framework. This includes parsing include headers to figure out which libraries the main programs need to be linked to. It uses automake/autoconf to be platform independent and GNU install compliant. In addition, m4 macros are automatically downloaded and the according compiler flags included based on a list of boost libraries provided in the config file. -
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clusterProfiler
A universal enrichment tool for interpreting omics data
clusterProfiler is an R/Bioconductor package that provides a unified workflow for functional enrichment analysis to interpret high-throughput omics results. It supports both over-representation analysis and gene set enrichment analysis, letting you work with unranked gene lists or ranked statistics from differential pipelines. The package connects to multiple knowledge bases—such as Gene Ontology, KEGG, Reactome, Disease Ontology, MeSH and others—through a consistent interface so you can query different biological lenses without rewriting code. It is designed for breadth, covering coding and non-coding features and thousands of organisms by leveraging continuously updated annotations. Results are returned in tidy, manipulation-friendly structures and pair naturally with rich visualization functions (via companion tooling) to summarize pathways, terms, and gene–set relationships. -
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decida is [de]vice & [ci]rcuit [d]ata [a]nalysis. It is used for electron device characterization, procedural simulation/analysis of electronic circuits, or more general data analysis tasks.
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dlib
Toolkit for making machine learning and data analysis applications
Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. Dlib's open source licensing allows you to use it in any application, free of charge. Good unit test coverage, the ratio of unit test lines of code to library lines of code is about 1 to 4. The library is tested regularly on MS Windows, Linux, and Mac OS X systems. No other packages are required to use the library, only APIs that are provided by an out of the box OS are needed. There is no installation or configure step needed before you can use the library. All operating system specific code is isolated inside the OS abstraction layers which are kept as small as possible. -
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e-Science Central
Cloud based scientific data analysis
e-Science Central has moved to BitBucket, please visit: https://bitbucket.org/digitalinstitute/esciencecentral/ -
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eRNA
A RNA data analysis tool
eRNA: A RNA data analysis tool for high-throughput RNA sequencing experiments -
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elder-pt
data flow framework
Elder-PT is a software framework, that facilitates the task of event-by-event data analysis. The basic concept is that the process of data analysis can be mapped onto a graph where data processing happens in the nodes and data flows along edges between nodes. The framework provides: 1) a parser for analysis graph configuration files 2) an API to write processing nodes that can be inserted as nodes into the analysis graph 3) a library of frequently used processing nodes The framework can coupled to data analysis software like Go4 for data visualization. -
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etcore
etcore data analysis
etcore data analysis -
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ezData is a cross-platform data processing program designed for data acquired from chromatography, CE, spectroscopy, and other data in need of peak-definement, data comparison, graphic viewing, and formated data report. (based on wxWidgets)
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fEPSP-analiser
python script for electrophysiology data analysis
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fedtool
Tool to aid factorial design analysis of in vitro experiments.
Sets of colour-coded design templates for varying number of factors and replicates are included covering full factorial, and fractional factorial designs. An Excel-spreadsheet tool steps the user through specifying factor names and entering the design and data from the experiment. The tool deconvolutes the data into a matrix which can be pasted into data visualisation and / or data analysis software. -
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Import width files into MySQL, manipulate and export back to fixed width. Useful for health data analysis or *whatever*. Includes Thompson Reuters Care Discovery 3000 data file definition. Windows, OS X, Linux Requires PHP 5.3.x and MySQL 5.1.x
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flamebearer
A JavaScript CPU trace analysis tool for agents and humans
Flamebearer is a JavaScript command-line CPU trace analyzer designed for both developers and coding agents. It reads Chrome DevTools Performance recordings and Node.js .cpuprofile files. Instead of producing a visual flame graph, the current version summarizes traces as compact structured text. Reports highlight major CPU offenders, hot source lines, long tasks, and other areas worth investigating. Source maps can automatically translate minified frames back to original source locations when mapping data is available. A companion command can profile Node.js scripts directly before analyzing the resulting trace. The project was revived in 2026 with this CLI-focused performance-analysis workflow after an earlier flamegraph-oriented version. -
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frameworkforwebdataanalytics
This repository is from my degree project titled "Framework for Web Data Analytics"
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GEMMA, which stands for Genome, Environment, Microbiome and Metabolome in Autism, is a multicentre European Commission Project for exploring interactions between gut microbiome, metabolome, epigenome and immune function in order to discover new biomarkers useful for early diagnosis of autism and as potential targets for preventive personalized therapies. The European Commission has selected and financed GEMMA project as part of its Horizon 2020, the biggest EU Research and Innovation programme. https://www.gemma-project.eu/ Here we present the algorithms used in the omics data analysis of GEMMA project. https://sourceforge.net/p/gemma-omics-integrate/wiki/Packages/
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Interactive Perl environment for data analysis. It consists of several integrated tools such as a Plotting tool, Interactive Shell, and more. Written entirely in Perl using Tk.
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hdxworkbench
HD Exchange Data analysis
HDX WORKBENCH IS AN INTEGRATED SOFTWARE PLATFORM DESIGNED SPECIFICALLY TO ENHANCE THE ANALYSIS OF HYDROGEN/DEUTERIUM EXCHANGE (HDX) MASS SPECTROMETRY DATA. BUILDING UPON THE EXPERIENCE FROM DEVELOPMENT OF THE DEUTERATOR AND HD DESKTOP, IT INTEGRATES TOOLS FOR DATA EXTRACTION WITH VISUALIZATION COMPONENTS WITHIN A SINGLE DESKTOP APPLICATION. THE SOFTWARE HAS BEEN DESIGNED TO BE A COMPREHENSIVE SOLUTION, AND EMPHASIS WAS PLACED ON ACHIEVING THREE MAIN GOALS OF INCREASED ANALYSIS SPEED; USER-FRIENDLY GRAPHIC INTERFACE; AND STRONG SUPPORT FOR LARGE HDX DATA SETS. THE SOFTWARE IS CURRENTLY LIMITED TO THERMO and WATERS INSTRUMENT FILE TYPES, RUNS ON THE WINDOWS 64 BIT PLATFORM, AND IS FREELY AVAILABLE FOR NON-COMMERCIAL PURPOSES. -
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hui
hewies user interface - 3D scientific visualisation tool
Python project with goal to provide FOSS library to extract, analyse and visualise data in a 3D fashion. The instance will connect to a data source, ods sheet, csv, sql DB, pyodbc the instance will analyse and/or transform the data to be presented to the visualisation functionality the instance will visualise the data in a 3D fashion, likely using third party FOSS -
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iAIDA
iAIDA is a C++ implementation of the AIDA interfaces.
iAIDA is an implementation in C++ of the AIDA Abstract Interfaces for Data Analysis, a set of interfaces designed for data analysis. Initially designed for use in experimental and theoretical physics, the AIDA interfaces can also be used in other fields. -
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iLAP is a workflow-driven information management system specifically designed to store laboratory data within its experimental context. It combines experimental protocol development, wizard-based data acquisition, and high-throughput data analysis.
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iMir
Integrated pipeline for HT miRNA-Seq data analysis
Processing of smallRNA-Seq data to gather biologically relevant information requires application of multiple statistical and bioinformatics tools from different sources, each focusing on a specific step of the analysis pipeline. The analytical workflow can be challenging for the continuous interventions by the operator, a critical factor when large numbers of datasets need to be analyzed at once. To allow a flexible and comprehensive analysis of smallRNA-Seq data we designed a novel modular pipeline, called iMir, integrating multiple open source modules and resource in an automated workflow, devising different statistical approaches to analyze data rigorously. iMir comprises also a Graphical User Interface (GUI), so that the pipeline is particularly suited for biologist and early stage bioinformaticians and produces both graphics and text outputs.
