Showing 7 open source projects for "windows sharing"

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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: 7 This Week
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  • 2
    Cookiecutter Data Science

    Cookiecutter Data Science

    Project structure for doing and sharing data science work

    A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. When we think about data analysis, we often think just about the resulting reports, insights, or visualizations. While these end products are generally the main event, it's easy to focus on making the products look nice and ignore the quality of the code that generates them. Because these end products are created programmatically, code quality is still important! And we're not talking...
    Downloads: 2 This Week
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  • 3
    Timesketch

    Timesketch

    Collaborative forensic timeline analysis

    Timesketch is a collaborative forensic timeline analysis platform used to investigate security incidents by turning diverse evidence into a single, searchable chronology. Analysts ingest logs and artifacts from many sources—endpoints, servers, cloud services—and Timesketch normalizes them into events on a unified timeline. Powerful search, aggregations, and saved views help you pivot quickly, highlight anomalies, and preserve investigative steps for later review. The system supports tagging,...
    Downloads: 1 This Week
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  • 4
    Eventer

    Eventer

    Rapid, unbiased, reproducible analysis of synaptic events

    ...Eventer also includes a machine learning-based approach allowing users to train a model to implement their ‘expert’ selection criteria across data sets without bias. Sharing models allows users to implement consistent analysis procedures. The software is coded in MATLAB, but has been compiled as standalone applications for Windows, Mac and Linux. Please visit the official Eventer website for more info https://eventerneuro.netlify.app/ While the paper is in preparation, please cite as; Winchester, G., Liu, S., Steele, O.G., Aziz, W. and Penn, A.C. (2020) Eventer. ...
    Downloads: 9 This Week
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    AI-powered service management for IT and enterprise teams

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  • 5

    MS Data Miner

    MS Data Miner - A web-based proteomics software

    Data processing and analysis in proteomic studies is a significant challenge and very time consuming. MS Data Miner (MDM) is a freely available web-based software to analyze, process, validate, compare, and display output files from MS software, including Mascot (Matrix Science), Mascot Distiller (Matrix Science) and ProteinPilot (AB Sciex). It was developed to significantly decrease the data analysis time and to handle large proteomic studies. This open sourced system includes a spectra...
    Downloads: 1 This Week
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  • 6

    Collaborative Computing Project for NMR

    Collaborative Computing Project for NMR (CCPN)

    The Collaborative Computational Project for NMR (CCPN) provides tools and knowledge to maximise the impact of the biological NMR studies. The CCPN software facilitates data analysis and software integration. The project actively promotes the exchange of knowledge and provides training and best practices for the NMR community. CCPN also has a leading role in the development of a NMR data-sharing standard and coordination of NMR instrumentation proposals for RCUK and BIS. The 28 partners of...
    Downloads: 0 This Week
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  • 7
    q pipeline manager

    q pipeline manager

    q: integrated platform for pipeline configuration and management

    The q utility is a platform for creating and managing data analysis pipelines. It expands the value of your existing job scheduler - either Grid Engine or TORQUE PBS - through numerous functions that help you organize, submit, monitor, manage and share your informatics work. Data processing pipelines require high-level organization and parallelization of work to optimize resource utilization and decrease the time to results. q (from queue) allows complex job sequences to be efficiently...
    Downloads: 0 This Week
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