Showing 7 open source projects for "risk analysis"

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    iTop - IT Service Management & CMDB

    iTop - IT Service Management & CMDB

    An easy, extensible web based IT service management platform

    Whether you’re an infrastructure manager handling complex systems, a service support leader striving for customer satisfaction, or a decision-maker focused on ROI and compliance, iTop adapts to your processes to simplify your tasks, streamline operations, and enhance service quality. iTop (IT Operations Portal) by Combodo is an all-in-one, open-source ITSM platform designed to streamline IT operations. iTop offers a highly customizable, low-code Configuration Management Database (CMDB),...
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    Downloads: 639 This Week
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  • 2

    Novel Insight Scoring

    Novel Insight Scoring is analytics software for scoring customers

    Novel Insight Scoring is analytical CRM software for automatically scoring customers given example (scored) data. The user of the software can set optimization time and adjust risk level (pessimistic, neutral or optimistic scoring) and score new customers without detailed knowledge about data analysis and machine learning methods. The scoring results are stored in a CSV file for further processing and importing to databases etc.
    Downloads: 0 This Week
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  • 3
    Sagacity

    Sagacity

    Security Assessment Data Management and Analysis Tool

    We have migrated development of Sagacity to GitHub at https://github.com/cyberperspectives/sagacity Sagacity is a vulnerability assessment and STIG compliance data management tool designed to make security testing more efficient, effective and complete. Security assessments, especially those done for DoD and Federal organizations, produce tremendous amounts of scan and compliance data that security engineers must sort through and deconflict, identify untested requirements, and somehow...
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  • 4
    PMM-Lab

    PMM-Lab

    Predictive Microbial Modeling plug-in for KNIME

    ...It consists of three components: • a library of KNIME nodes (called PMM-Lab), • a library of “standard” workflows • an HSQL database.to 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). ...
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    BMDExpress Data Viewer

    A Visualization Tool to Analyze BMDExpress Datasets

    Regulatory agencies increasingly apply benchmark dose (BMD) modeling to determine points of departure for risk assessment. BMDExpress applies BMD modeling to transcriptomic datasets to identify transcriptional BMDs. However, graphing and analytical capabilities within BMDExpress are limited, and the analysis of output files is challenging. We developed a web-based application, BMDExpress Data Viewer for visualizing and graphing BMDExpress output files.
    Downloads: 0 This Week
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  • 6
    DVCS-Ripper

    DVCS-Ripper

    Rip web accessible (distributed) version control systems: SVN/GIT/HG

    ...The utilities handle partial or blocked directory listings by guessing object paths and assembling missing pieces from loose files. Investigators and red-teamers use it to demonstrate the risk of deploying .git/ or .svn/ alongside web content, recovering not just code but also secrets committed by mistake. Outputs are normalized into usable repos so diffing, blame, and log analysis work as if you had pulled from the canonical remote. While powerful, it’s intended for legitimate testing and incident response, reinforcing best practices like build-time artifact generation and strict web server access rules.
    Downloads: 0 This Week
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  • 7
    a java interface for the portfolio risk analysis (PRA) engine.
    Downloads: 0 This Week
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