fr - Frictionless Standards
A "tabular-data-resource" (<https://specs.frictionlessdata.io/tabular-data-resource/>) is a simple format to describe a singular tabular data resource such as a CSV file. It includes support both for metadata such as author and title and a schema to describe the data, for example the types of the fields/columns in the data. Create a tabular-data-resource by providing a data.frame and specifying metadata. Write and read tabular-data-resources to and from disk.
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5.60 score 5 stars 79 scripts 645 downloadsautomagic - Automagically Document and Install Packages Necessary to Run R Code
Parse R code in a given directory for R packages and attempt to install them from CRAN or GitHub. Optionally use a dependencies file for tighter control over which package versions to install.
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5.30 score 56 stars 2 dependents 12 scripts 414 downloadss3 - Download Files from 'AWS S3'
Download files hosted on 'AWS S3' (Amazon Web Services Simple Storage Service; <https://aws.amazon.com/s3/>) to a local directory based on their URI. Avoid downloading files that are already present locally. Allow for customization of where to store downloaded files.
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3.71 score 3 stars 17 scripts 198 downloadss3 - Download Files from 'AWS S3'
Download files hosted on 'AWS S3' (Amazon Web Services Simple Storage Service; <https://aws.amazon.com/s3/>) to a local directory based on their URI. Avoid downloading files that are already present locally. Allow for customization of where to store downloaded files.
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3.71 score 3 stars 17 scripts 210 downloadsmappp - Map in Parallel with Progress
Provides one function, which is a wrapper around purrr::map() with some extras on top, including parallel computation, progress bars, error handling, and result caching.
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3.70 score 10 stars 3 scripts 254 downloadsdpkg - Create, Stow, and Read Data Packages
Data frame, tibble, or tbl objects are converted to data package objects using specific metadata labels (name, version, title, homepage, description). A data package object ('dpkg') can be written to disk as a 'parquet' file or released to a 'GitHub' repository. Data package objects can be read into R from online repositories and downloaded files are cached locally across R sessions.
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3.30 score 4 stars 8 scripts 191 downloads