Showing 6 open source projects for "fast linux"

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  • 1
    data.table

    data.table

    Extends base R’s data for high-performance data manipulation

    data.table is an R package that extends base R’s data.frame for high-performance data manipulation. It offers concise syntax, blazing speed, and memory-efficient operations. It supports fast file reading/writing, joins, grouping, reshaping, and updates by reference. It is heavily used in large data workflows, big data in R, production pipelines, etc. Extremely efficient grouping/aggregation/summarization; can handle very large datasets (hundreds of millions to billions of rows) in memory (if...
    Downloads: 0 This Week
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  • 2
    Readr

    Readr

    Read flat files (csv, tsv, fwf) into R

    readr is an R package that provides a fast and friendly way to read rectangular data, such as CSV and TSV files. Part of the Tidyverse, it simplifies data import and parsing tasks in R.​
    Downloads: 0 This Week
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  • 3
    LabPlot

    LabPlot

    Data Visualization and Analysis

    LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.
    Downloads: 29 This Week
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  • 4
    Covidex

    Covidex

    Ultra fast and accurate subtyping tool of viral genomes.

    Viral subtypes or clades represent clusters among isolates from the global population of a defined species. Subtypification is relevant for studies on virus epidemiology, evolution and pathogenesis. In this sense, Covidex was developed as an open source alignment-free machine learning subtyping tool. It is a shiny app that allows fast and accurate classification of viral genomes in pre-defined clusters. If more than 1000 sequences are loaded the tool will run in multithread mode. Capable of...
    Downloads: 0 This Week
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    AI-generated apps that pass security review

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  • 5
    Harmony Data Integration

    Harmony Data Integration

    Fast, sensitive and accurate integration of single-cell data

    Harmony is a general-purpose R package with an efficient algorithm for integrating multiple data sets. It is especially useful for large single-cell datasets such as single-cell RNA-seq. Harmony has been tested on R versions =4. Please consult the DESCRIPTION file for more details on required R packages. Harmony has been tested on Linux, OS X, and Windows platforms.
    Downloads: 0 This Week
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  • 6
    sf (Simple Features)

    sf (Simple Features)

    Simple Features for R

    sf is an R package that implements “simple features” (standardized vector spatial data) for R. It allows spatial vector data (points, lines, polygons etc.) to be represented as records in data frames (or tibbles) with geometry list columns, and performs spatial operations (geometry operations, coordinate reference system transformations, reading/writing spatial data, integration with spatial databases etc.). It interfaces to GDAL, GEOS, PROJ libraries for robust operations. Reading and...
    Downloads: 3 This Week
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