Showing 6 open source projects for "install from git"

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  • 1
    Bdash

    Bdash

    Simple SQL Client for lightweight data analysis

    Simple SQL Client for lightweight data analysis. You can share the result with gist. Supports MySQL, PostgreSQL (Amazon Redshift), SQLite3, Google BigQuery, Treasure Data, Amazon Athena. You can download and install from Web Site or Releases.
    Downloads: 3 This Week
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  • 2
    MemProcFS Analyzer

    MemProcFS Analyzer

    Automated Forensic Analysis of Windows Memory Dumps for DFIR

    MemProcFS-Analyzer is a forensic analysis toolset that builds on the MemProcFS virtual filesystem to make volatile memory artefacts easier to browse and interpret. By exposing process memory, kernel objects, and derived artifacts as regular files, the framework lets analysts use familiar filesystem operations and standard tools (editors, grep, diff) to explore memory snapshots. The Analyzer layer adds higher-level parsing and extraction routines—for example, carving strings, locating...
    Downloads: 11 This Week
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  • 3
    Amazon Kinesis Flink Connectors

    Amazon Kinesis Flink Connectors

    Contains various Apache Flink connectors to connect to AWS data

    This library contains various Apache Flink connectors to connect to AWS data sources and sinks. This repository contains various Apache Flink connectors to connect to AWS Kinesis data sources and sinks. Flink maintain backwards compatibility for the Sink interface used by the Firehose Producer. This project is compatible with Flink 1.x, there is no guarantee it will support Flink 2.x should it release in the future. An Apache Flink application is a Java or Scala application that is created...
    Downloads: 0 This Week
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  • 4
    Reproducible-research

    Reproducible-research

    A Reproducible Data Analysis Workflow with R Markdown, Git, Make, etc.

    In this tutorial, we describe a workflow to ensure long-term reproducibility of R-based data analyses. The workflow leverages established tools and practices from software engineering. It combines the benefits of various open-source software tools including R Markdown, Git, Make, and Docker, whose interplay ensures seamless integration of version management, dynamic report generation conforming to various journal styles, and full cross-platform and long-term computational reproducibility. The workflow ensures meeting the primary goals that 1) the reporting of statistical results is consistent with the actual statistical results (dynamic report generation), 2) the analysis exactly reproduces at a later point in time even if the computing platform or software is changed (computational reproducibility), and 3) changes at any time (during development and post-publication) are tracked, tagged, and documented while earlier versions of both data and code remain accessible.
    Downloads: 0 This Week
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  • 5
    BDS

    BDS

    Blockchain data parsing and persisting results

    ...Before compiling and running BDS, you must install go's compilation environment locally.
    Downloads: 0 This Week
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  • 6
    Central Proteomics Facilities Pipeline

    Central Proteomics Facilities Pipeline

    A data analysis pipeline for shotgun mass-spectrometry proteomics.

    ...However: * Limited fixes have been made on the main master branch by Phil Charles at the University of Oxford. * As of 2019, limited maintenance is being carried out by myself (now in the BioHPC high performance computing group at UTSW), to allow CPFP to install and run on RHEL 7 / CentOS 7, with updated TPP 5.1.0 and search tools. This updated code can be found in the utsw-biohpc branch of the git repository, and may become a 2.2.0 release if time and testing allows. -- David Trudgian - 2019/01/03
    Downloads: 0 This Week
    Last Update:
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