Miller (mlr) is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON. You get to work with your data using named fields, without needing to count positional column indices. It is pipe-friendly and interoperates with the Unix toolkit. It operates on key-value-pair data while the familiar Unix tools operate on integer-indexed fields. This encompasses a variety of data formats, including but not limited to the familiar CSV, TSV, and JSON. (Miller can handle positionally-indexed data as a special case.) OK sthen@, solene@
10 lines
545 B
Plaintext
10 lines
545 B
Plaintext
Miller (mlr) is like awk, sed, cut, join, and sort for name-indexed data
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such as CSV, TSV, and tabular JSON. You get to work with your data using
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named fields, without needing to count positional column indices. It is
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pipe-friendly and interoperates with the Unix toolkit.
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|
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It operates on key-value-pair data while the familiar Unix tools operate
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on integer-indexed fields. This encompasses a variety of data formats,
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including but not limited to the familiar CSV, TSV, and JSON. (Miller
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can handle positionally-indexed data as a special case.)
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