Information Analysis Software

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Information Analysis Software

  • Develop killer analytical applications Develop killer analytical applications Icon
    Develop killer analytical applications Icon

    Try the Yellowfin analytics platform, built for developers.

    Yellowfin provides developers with the tools to easily build stunning analytical applications. Connect and blend multiple data sources and deploy onto any environment at scale, with access to hundreds of web services to integrate as you need. Yellowfin offers industry leading capabilities that are trusted by thousands of organizations globally. Try Yellowfin for free to see how easily you can develop killer analytical applications.
  • Pyramid - The Complete Self-Service Analytics Platform Pyramid - The Complete Self-Service Analytics Platform Icon
    Pyramid - The Complete Self-Service Analytics Platform Icon

    Easily combine data from multiple sources to build dashboards and reports with our scalable solution built for mid-size to enterprise companies.

    Pyramid combines analytic tools often found in separate applications. It features a graphically based ETL to model data and incorporate machine learning algorithms, intuitive data discovery tools that produce simple and advanced visualizations, a presentation builder for creating analytic applications and presentations, and an enterprise-grade report builder—all in a single, integrated platform that can be accessed from any browser or device.
  • SciDAVis

    SciDAVis is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data. It strives to combine an intuitive, easy-to-use graphical user interface with powerful features such as Python scriptability.

  • TA-Lib : Technical Analysis Library

    Technical Analysis Library

    Technical analysis library with indicators like ADX, MACD, RSI, Stochastic, TRIX... This is not an end-user GUI trading or charting application. It is instead targeted to application developers using either Excel, .NET, Mono, Java, Perl, Python or C/C++.

  • QtiPlot Icon

    QtiPlot

    QtiPlot is a user-friendly, platform independent data analysis and visualization application similar to the non-free Windows program Origin.

  • iramuteq Icon

    iramuteq

    IRAMUTEQ : Interface de R pour les Analyses Multidimensionnelles de Textes et de Questionnaires. Logiciel de traitement de données pour des corpus texte ou de type individus/caractères. Permet notamment de réaliser des analyses de type "ALCESTE"

  • GDL - GNU Data Language

    GDL - GNU Data Language, a free IDL (Interactive Data Language, see http://ittvis.com/idl/) compatible incremental compiler.

  • Discover Server and Application Network Dependencies Discover Server and Application Network Dependencies Icon
    Discover Server and Application Network Dependencies Icon

    Discover and troubleshoot application dependencies to determine if it’s an application or network problem with SolarWinds Server & Application Monitor

    Server and Application Monitor helps you discover application dependencies to help identify relationships between application servers. Drill into those connections to view the associated network performance such as latency and packet loss, and application process resource utilization metrics such as CPU and memory usage. Determine if process utilization or network performance is affecting the application and end-user performance.
  • Xplico Icon

    Xplico

    Xplico is a Network Forensic Analysis Tool (NFAT)

    Xplico is a Network Forensic Analysis Tool (NFAT). The goal of Xplico is extract from an internet traffic capture the applications data contained. For example, from a pcap file Xplico extracts each email (POP, IMAP, and SMTP protocols), all HTTP contents, each VoIP call (SIP, MGCP, MEGACO, RTP), IRC, WhatsApp... Xplico is able to classify more than 140 (application) protocols. Xplico cam be used as sniffer-decoder if used in "live mode" or in conjunction with netsniff-ng. Xplico is used also in CapAnalysis: http://www.capanalysis.net

  • Modular toolkit for Data Processing MDP Icon

    Modular toolkit for Data Processing MDP

    The Modular toolkit for Data Processing (MDP) is a Python data processing framework. From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures. From the scientific developer's perspective, MDP is a modular framework, which can easily be expanded. The implementation of new algorithms is easy and intuitive. The new implemented units are then automatically integrated with the rest of the library. The base of available algorithms is steadily increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis), manifold learning methods ([Hessian] Locally Linear Embedding), several classifiers, probabilistic methods (Factor Analysis, RBM), data pre-processing methods, and many others.

  • PyCLIPS Python Module Icon

    PyCLIPS Python Module

    Python module to interface the CLIPS expert system shell library.

  • HCRF library (including CRF and LDCRF)

    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.

  • Python RRDTool module

    py-rrdtool is a Python module provides an interface to RRDTool, the well known graphing/logging tool.

  • DigitalOcean - The Total Cloud Computing Platform DigitalOcean - The Total Cloud Computing Platform Icon
    DigitalOcean - The Total Cloud Computing Platform Icon

    Our platform was built with simplicity at the forefront, so developers can build and deploy with ease.

    DigitalOcean's predictable format removes infrastructure friction and allows developers more time to build software customers love. Easily deploy, manage, and scale applications of any size. DigitalOcean also provides the support you need with hundreds of in-depth tutorials and an active online community.
  • yaafe

    Yet Another Audio Feature Extractor is a toolbox for audio analysis. Easy to use and efficient at extracting a large number of audio features simultaneously. WAV and MP3 files supported, or embedding in C++, Python or Matlab applications.

  • RDRPOSTagger

    A Rule-based Part-of-Speech and Morphological Tagging Toolkit

    RDRPOSTagger is a robust, easy-to-use and language-independent rule-based toolkit for Part-of-Speech (POS) and morphological tagging. RDRPOSTagger obtains fast performance in both learning and tagging process. RDRPOSTagger also achieves a very competitive accuracy in comparison to the state-of-the-art results. RDRPOSTagger now supports pre-trained POS and morphological tagging models for Bulgarian, Czech, Dutch, English, French, German, Hindi, Italian, Portuguese, Spanish, Swedish, Thai and Vietnamese. Additionally, RDRPOSTagger supports the pre-trained Universal POS tagging models for 40 languages. See the full usage of RDRPOSTagger at: http://rdrpostagger.sourceforge.net/

  • Transana

    Transana is a cross-platform tool for the transcription and qualitative analysis of audio and video data. It also provides the ability to identify and organize analytically interesting portions of videos, as well as attach keywords to those video clips.

  • PyPedal

    PyPedal is a Python module that provides tools for the manipulation of pedigrees, simple visualization of pedigrees, and the calculation of measures of genetic diversity from pedigrees.

  • Uranie Icon

    Uranie

    Uranie is CEA's uncertainty analysis platform, based on ROOT

    Uranie is a sensitivity and uncertainty analysis plateform based on the ROOT framework (http://root.cern.ch) . It is developed at CEA, the French Atomic Energy Commission (http://www.cea.fr). It provides various tools for: - data analysis - sampling - statistical modeling - optimisation - sensitivity analysis - uncertainty analysis - running code on high performance computers - etc. Thanks to ROOT, it is easily scriptable in CINT (c++ like syntax) and Python. Is is available both for Unix and Windows platforms (a dedicated platform archive is available on request). Note : if you have downloaded version 3.12 before the 8th of february, a patch exists for a minor bug on TOutputFileKey file, don't hesitate to ask us.

    Downloads: 14 This Week Last Update: See Project
  • Pretty Damn Quick Queueing Model Package

    Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.

    Downloads: 10 This Week Last Update: See Project
  • asammdf Icon

    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

    Downloads: 9 This Week Last Update: See Project
  • File-Spector : Binary File Analyser

    File-Spector is a small, fast and easy to use binary file analyzer and Inspector. It allows the users to format a complete binary file structure and then use it to read any binary file that matches the specified format.

  • python-cluster

    IMPORTANT: The project moved over to github! You can find it at: https://github.com/exhuma/python-cluster

    Downloads: 6 This Week Last Update: See Project
  • sarface

    sarface is a user-interface to the sysstat/sar database which inputs data from sar and plots to a live X11 graph via gnuplot. It mimics the cmd-line options from sar but can cross-plot any two or more stats and apply simple mathematical functions them.

    Downloads: 6 This Week Last Update: See Project
  • FastSemSim

    This is a Python-based efficient implementation of several semantic similarity measures. The target is to enable fast and easy calculation of similarity between proteins and genes using the Gene Ontology (GO).

  • ktree

    clustering, machine learning, algorithms

    This project has moved to github at http://lmwtree.devries.ninja.

  • Filters

    Filters is a image processing library: filter sobel,convolution,morphology,vectorization,segmentation,blob,blur,histogram,susan,threshold,texture,contrast,standard deviation,canny,distance map,matrix,contour,edge,rotation,correlation,gradient anisotropic

    Downloads: 4 This Week Last Update: See Project
  • PyPotrace

    PyPotrace is a Python programming language binding for Peter Selinger's Potrace raster to vector conversion algorithm. No separate Potrace library or application required!

    Downloads: 4 This Week Last Update: See Project
  • the python Import GUI

    the pIG bulk-processes data files generated by 'popular' scientific behavioural programs, including Med Associates MedIV-PC, Coulburn TruScan and Kinder Scientific.

    Downloads: 4 This Week Last Update: See Project
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