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| author | Jason W. Bacon <jwb@FreeBSD.org> | 2021-06-18 21:28:21 +0000 |
|---|---|---|
| committer | Jason W. Bacon <jwb@FreeBSD.org> | 2021-06-18 21:28:21 +0000 |
| commit | 98807e08be7e890aaaea5710823a192ca318658b (patch) | |
| tree | b5eafc62566d24dd91bc595a371df1ffaece1c8c /science | |
| parent | 8f52533f636733a36dda6f804c4784077da8a7f2 (diff) | |
| download | ports-98807e08be7e890aaaea5710823a192ca318658b.tar.gz ports-98807e08be7e890aaaea5710823a192ca318658b.zip | |
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.
Diffstat (limited to 'science')
| -rw-r--r-- | science/Makefile | 1 | ||||
| -rw-r--r-- | science/csvtk/Makefile | 19 | ||||
| -rw-r--r-- | science/csvtk/distinfo | 5 | ||||
| -rw-r--r-- | science/csvtk/pkg-descr | 13 |
4 files changed, 38 insertions, 0 deletions
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/ |