Date: Fri, 18 Jun 2021 21:28:50 GMT From: "Jason W. Bacon" <jwb@FreeBSD.org> To: ports-committers@FreeBSD.org, dev-commits-ports-all@FreeBSD.org, dev-commits-ports-main@FreeBSD.org Subject: git: 98807e08be7e - main - science/csvtk: Cross-platform and ultrafast toolkit for CSV/TSV processing Message-ID: <202106182128.15ILSoBs042482@gitrepo.freebsd.org>
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The branch main has been updated by jwb: URL: https://cgit.FreeBSD.org/ports/commit/?id=98807e08be7e890aaaea5710823a192ca318658b commit 98807e08be7e890aaaea5710823a192ca318658b Author: Jason W. Bacon <jwb@FreeBSD.org> AuthorDate: 2021-06-18 21:28:21 +0000 Commit: Jason W. Bacon <jwb@FreeBSD.org> CommitDate: 2021-06-18 21:28:21 +0000 science/csvtk: Cross-platform and ultrafast toolkit for CSV/TSV processing CSV/TSV formats are basic and ubiquitous file formats in both Bioinformatics and data science. People usually use spreadsheet software like MS Excel to process table data. However this is all by clicking and typing, which is not automated and is time-consuming to repeat, especially when you want to apply similar operations with different datasets or purposes. csvtk is convenient for rapid data investigation and also easy to integrate into analysis pipelines. It could save you lots of time in (not) writing Python/R scripts. --- science/Makefile | 1 + science/csvtk/Makefile | 19 +++++++++++++++++++ science/csvtk/distinfo | 5 +++++ science/csvtk/pkg-descr | 13 +++++++++++++ 4 files changed, 38 insertions(+) diff --git a/science/Makefile b/science/Makefile index 9e8caadfabb7..17618e77c829 100644 --- a/science/Makefile +++ b/science/Makefile @@ -55,6 +55,7 @@ SUBDIR += cp2k SUBDIR += cp2k-data SUBDIR += crf++ + SUBDIR += csvtk SUBDIR += dakota SUBDIR += dalton SUBDIR += dcl diff --git a/science/csvtk/Makefile b/science/csvtk/Makefile new file mode 100644 index 000000000000..6a7a41f3f99c --- /dev/null +++ b/science/csvtk/Makefile @@ -0,0 +1,19 @@ +PORTNAME= csvtk +DISTVERSIONPREFIX= v +DISTVERSION= 0.23.0 +CATEGORIES= science + +MAINTAINER= jwb@FreeBSD.org +COMMENT= Cross-platform and ultrafast toolkit for CSV/TSV processing + +LICENSE= MIT +LICENSE_FILE= ${WRKSRC}/LICENSE + +USES= go:modules + +GO_MODULE= github.com/shenwei356/csvtk +GO_TARGET= ./${PORTNAME} + +PLIST_FILES= bin/${PORTNAME} + +.include <bsd.port.mk> diff --git a/science/csvtk/distinfo b/science/csvtk/distinfo new file mode 100644 index 000000000000..0ff07fd83b5b --- /dev/null +++ b/science/csvtk/distinfo @@ -0,0 +1,5 @@ +TIMESTAMP = 1624051618 +SHA256 (go/science_csvtk/csvtk-v0.23.0/v0.23.0.mod) = 7c31a467710c872fa06c3cfce632c6f193b30caefe1d2503115485f9c8e626d2 +SIZE (go/science_csvtk/csvtk-v0.23.0/v0.23.0.mod) = 956 +SHA256 (go/science_csvtk/csvtk-v0.23.0/v0.23.0.zip) = bbaba0de0d95c1f8144dea5927abbfff6e6bdfba87d8c11d2cfefdde4cf9da76 +SIZE (go/science_csvtk/csvtk-v0.23.0/v0.23.0.zip) = 1718316 diff --git a/science/csvtk/pkg-descr b/science/csvtk/pkg-descr new file mode 100644 index 000000000000..669e30d7b21f --- /dev/null +++ b/science/csvtk/pkg-descr @@ -0,0 +1,13 @@ +CSV/TSV formats are basic and ubiquitous file formats in both Bioinformatics +and data science. + +People usually use spreadsheet software like MS Excel to process table data. +However this is all by clicking and typing, which is not automated and is +time-consuming to repeat, especially when you want to apply similar operations +with different datasets or purposes. + +csvtk is convenient for rapid data investigation and also easy to integrate +into analysis pipelines. It could save you lots of time in (not) writing +Python/R scripts. + +WWW: https://bioinf.shenwei.me/csvtk/
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