mlr

Miller is like `awk`, `sed`, `cut`, `join`, and `sort` for name-indexed data such as CSV, TSV, and tabular JSON.

• Pretty-print a CSV file in a tabular format:

mlr --icsv --opprint cat {example.csv}

• Receive JSON data and pretty print the output:

echo '{"hello":"world"}' | mlr --ijson --opprint cat

• Sort alphabetically on a field:

mlr --icsv --opprint sort -f {field} {example.csv}

• Sort in descending numerical order on a field:

mlr --icsv --opprint sort -nr {field} {example.csv}

• Convert CSV to JSON, performing calculations and display those calculations:

mlr --icsv --ojson put '${newField1} = ${oldFieldA}/${oldFieldB}' {example.csv}

• Receive JSON and format the output as vertical JSON:

echo '{"hello":"world", "foo":"bar"}' | mlr --ijson --ojson --jvstack cat

• Filter lines of a compressed CSV file treating numbers as strings:

mlr --prepipe 'gunzip' --csv filter -S '${fieldName} =~ "{regular_expression}"' {example.csv.gz}

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