Showing 3 open source projects for "python module"

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    Unimus makes Network Automation and Configuration Management easy.

    Deploying Unimus to manage your entire network requires only minutes, allowing for rapid deployment without headaches.

    We aim to make automation, disaster recovery, change management and configuration auditing painless and affordable for a network of any size.
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  • Network Discovery Software | JDisc Discovery Icon
    Network Discovery Software | JDisc Discovery

    JDisc Discovery supports the IT organizationss of medium-sized businesses and large-scale enterprises.

    JDisc Discovery is a comprehensive network inventory and IT asset management solution designed to help organizations gain clear, up-to-date visibility into their IT environment. It automatically scans and maps devices across the network, including servers, workstations, virtual machines, and network hardware, to create a detailed inventory of all connected assets. This includes critical information such as hardware configurations, software installations, patch levels, and relationshipots between devices.
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  • 1
    ncPRO-seq

    ncPRO-seq

    Non-Coding RNA PROfiling from sRNA-seq

    ncPRO-seq is a tool for annotation and profiling of ncRNAs from smallRNA sequencing data. It aims to interrogate and perform detailed analysis on small RNAs derived from annotated non-coding regions in miRBase, piRBase, Rfam and repeatMasker, and regions defined by users. The ncPRO pipeline also has a module to identify regions significantly enriched with short reads that can not be classified as known ncRNA families. ############# Docker version : download and run Dockerfile (go in...
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  • 2

    Electrophysiology & circular stats tools

    Data analysis and circular statistics with OpenElectrophy and R

    Set of tools for basic analysis of electrophysiological data. The Python classes show how to call OpenElectrophy functions and save data. The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk. The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem.
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  • 3
    Hoea is a python module for hierarchical ontology enrichment analysis, which facilitated GO (Gene Ontology)/KO (KEGG Orthology) enrichment analysis at any desktop.
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