Statistics Software


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Statistics Software

  • Multi-vendor storage monitoring simplified Multi-vendor storage monitoring simplified Icon
    Multi-vendor storage monitoring simplified Icon

    Monitor your multi-vendor storage to help ensure your applications get the performance & capacity they need with SolarWinds® Storage Resource Monitor.

    SolarWinds Storage Resource Monitor (SRM) gives you multi-vendor storage performance monitoring and alerting to help ensure peak storage performance. Automated capacity planning helps you predict storage shortages, reclaim space, and prevent application outages. SRM integrates with other Orion® Platform products to provide end-to-end visibility into the application stack, and lets you easily troubleshoot performance issues from application to storage.
  • Locate Sensitive Data across Networks and Workstations Locate Sensitive Data across Networks and Workstations Icon
    Locate Sensitive Data across Networks and Workstations Icon

    Build the Business Case for Effective Security Investments

    Your customers recognize the importance of security, but often don’t realize the urgency until they see something tangible. SolarWinds® Risk Intelligence assigns value to your data vulnerability, helping you build a strong business case for data protection and triage the most important problems to tackle. Some powerful features include data risk communicated as financial impact, at-risk data discovery and PCI DSS, PAN & PII scans.
  • SalStat Statistics Package

    SalStat is a small application for statistical analysis emphasising the sciences and social sciences (particularly Psychology). The project is designed around the user interface which has been designed to be simple to use. Think SPSS, but better!

  • Nen Icon


    neural network implementation in java

    3-layer neural network for regression and classification with sigmoid activation function and command line interface similar to LibSVM. Quick Start: "java -jar nen.jar"

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

    A web-based minimisation service

    Based on MinimPy (, QMinim is a web-based minimization application, for allocation of subject to different arms of a clinical trial. It is an alternative to randomization, with the advantage of balancing arms of trial with respect to preselected prognostic factors. All aspects of minimization procedure including treatments, factors, minimization protocole, and including a preload can be customized using QMinim.

    Downloads: 6 This Week Last Update: See Project
  • Residual Analysis OSS

    Software made available by the Residual Analysis blog, primarily having to do with anthropogenic global warming, e.g. GHCN Processor.

    Downloads: 3 This Week Last Update: See Project
  • metRology

    An R package for metrology. metRology provides classes and calculation and plotting functions for metrology applications, including measurement uncertainty estimation and (eventually) inter-laboratory metrology comparison studies.

    Downloads: 3 This Week Last Update: See Project
  • Identify and respond to threats before damage is done Identify and respond to threats before damage is done Icon
    Identify and respond to threats before damage is done Icon

    A SIEM that makes it easy to use logs for security, compliance, and troubleshooting.

    SolarWinds® Log & Event Manager (LEM) delivers comprehensive Security Information and Event Management (SIEM) capabilities in a highly affordable, easy-to-use, and quick-to-deploy virtual appliance. LEM provides the visibility, security, and control that IT professionals need to alert on and respond to security threats, and assist in meeting the regulatory compliance guidelines of HIPAA, PCI DSS, SOX, and more. Try it free for 30 days!
  • A2RMS Algorithm

    Implementation of the A2RMS Algorithm in Matlab

    Implementation of the A2RMS Algorithm for univariate densities defined for real values.

    Downloads: 2 This Week Last Update: See Project
  • DeDAY Icon


    MLE survival analysis: Gompertz, Weibull, Logistic and mixed morality.

    DeDAY (Demography Data Analyses) is a tool of analyzing demography data. It supports Gompertz, Weibull and Logistic distributions. DeDay also supports mixed mortality models based on these distribution such as the Gompertz-Makeham distribution. Distributions such as Gompertz describes only age-dependent mortality, which increases over time. Mixed mortality models, such as in Gompertz-Makeham distribution, consider a more general case where mortality is consist of both age-dependent and in-dependent mortality. Mixed models partition mortality into exogenous and endogenous components, so that the intrinsic survivorship can be estimated without the interference from extrinsic noise. DeDAY supports both interval-censored data and exact event-time data. Using MLE (Maximum Likelihood Estimate), DeDAY fits statistic model to the data. DeDAY also calculates the variances and the multi-dimensional confidence limits of model parameters. DeDAY is free for academic users.

    Downloads: 2 This Week Last Update: See Project
  • PMM-Lab Icon


    Predictive Microbial Modeling plug-in for KNIME

    PMM-Lab is an open-source extension to the Konstanz Information Miner (KNIME). It consists of three components: • a library of KNIME nodes (called PMM-Lab), • a library of “standard” workflows • an HSQL store experimental data and microbial models. Altogether these components are designed to ease and standardize the statistical analysis of experimental microbial data and the development of predictive microbial models (PMM). Users can apply PMM-Lab to proprietary or public data and create bacterial growth / survival / inactivation models. The framework can easily be extended to other model types, e.g. growth/no-growth boundary models. PMM-Lab has been initiated and provided by the Federal Institute for Risk Assessment - BfR (Berlin, Germany). The software is in Beta status. Before using the software you have to read and accept the license and disclaimer ( If you do not agree, do not use this software.

  • Gaussian Mixture Distribution Analysis

    This project hosts tools used for analysis of Gaussian Mixture Distributions (GMDs) which are used for statistical signal processing. The tools are libraries for implementing GMD operations and programs used to analyze properties of GMDs.

    Downloads: 0 This Week Last Update: See Project
  • TimescapeGlobal

    a space-time interpolation geostatistical tool

    This software is a time-aware geostatistical tool. Including time variability adds further issues to the already complicated field of geostatistical interpolation. On the other hand, most of the distributions of variables used in Earth and environmental sciences show patterns of change over time, not only in space. This tool is a free, open-source software, based on a generalization of the Inverse Distance Weighted algorithm. It outputs three-dimensional, layered discrete models from which time series and equal-time GIS Grid layers can be extracted.

    Downloads: 0 This Week Last Update: See Project
  • Microsoft Office 365 monitoring simplified Microsoft Office 365 monitoring simplified Icon
    Microsoft Office 365 monitoring simplified Icon

    Monitor your Office 365® (O365) Exchange™ mailboxes and system applications with the SolarWinds® Server & Application Monitor unified platform.

    SolarWinds Server & Application Monitor allows you to monitor your hybrid IT applications and systems. Monitor Microsoft® Office 365 Exchange side by side on your on-premises Exchange server and other applications. Check, track, and report on O365 user/shared mailbox growth, users over quota, archived mailboxes, inactive mailboxes, mobile device, mailbox groups, and more. You can also monitor Microsoft portal access to help ensure you’re meeting your SLAs.
  • portas

    Pequeno script em Python para provar o problema de Monty Hall

    O jogo consiste no seguinte: Monty Hall (o apresentador) apresentava 3 portas aos concorrentes, sabendo que atrás de uma delas está um carro (prémio bom) e que as outras têm prêmios de pouco valor. Na 1ª etapa o concorrente escolhe uma porta (que ainda não é aberta); De seguida Monty abre uma das outras duas portas que o concorrente não escolheu, sabendo à partida que o carro não se encontra aí; Agora com duas portas apenas para escolher — pois uma delas já se viu, na 2ª etapa, que não tinha o prêmio — e sabendo que o carro está atrás de uma delas, o concorrente tem que se decidir se permanece com a porta que escolheu no início do jogo e abre-a ou se muda para a outra porta que ainda está fechada para então a abrir. Qual é a estratégia mais lógica? Ficar com a porta escolhida inicialmente ou mudar de porta? Com qual das duas portas ainda fechadas o concorrente tem mais probabilidades de ganhar? Por quê?

    Downloads: 0 This Week Last Update: See Project
  • snifflibtoolbox

    A Matlab toolbox for interfacing with the pure JAVA numerical library Snifflib. This toolbox provides convenience m-files for interoperability with Snifflib from within an active Matlab session running a JAVA virtual machine.

    Downloads: 0 This Week Last Update: See Project
  • upy

    Measurement uncertainties with Python.

    Downloads: 0 This Week Last Update: See Project
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