TODO: try these csv tools
- https://visidata.org/ - Data science without the drudgery - VisiData is an interactive multitool for tabular data. It combines the clarity of a spreadsheet, the efficiency of the terminal, and the power of Python, into a lightweight utility which can handle millions of rows with ease. (introduction: https://jsvine.github.io/intro-to-visidata/index.html)
- https://github.com/dflemstr/rq - Record Query - A tool for doing record analysis and transformation -
- https://www.gnu.org/software/datamash/ - GNU datamash is a command-line program which performs basic numeric, textual and statistical operations on input textual data files.
- https://github.com/google/crush-tools - CRUSH is a free, open-source collection of Custom Reporting Utilities for SHell.
- https://github.com/shellbound/jwalk/ - Streaming JSON parser for Unix https://jwalk.sh
- https://github.com/mbostock/ndjson-cli - Command line tools for operating on newline-delimited JSON streams.
- http://xmlstar.sourceforge.net/ - XMLStarlet Command Line XML Toolkit - calling for particpants to help administer
- http://www.tsvx.org - tsvx: Strictly typed TSV format with metadata
- https://github.com/n3mo/data-science
- https://gitlab.redox-os.org/redox-os/parallel
- https://github.com/willghatch/racket-rash
- https://csvkit.readthedocs.io/en/latest/
- https://github.com/dkogan/vnlog
- https://github.com/johnkerl/miller
- https://github.com/eBay/tsv-utils
- http://harelba.github.io/q/ - Run SQL Directly on CSV Files
- https://github.com/BatchLabs/charlatan
- https://github.com/dinedal/textql
- https://github.com/BurntSushi/xsv
- https://github.com/dbohdan/sqawk
- https://stedolan.github.io/jq/
- https://github.com/benbernard/RecordStream
- https://github.com/python-mario/mario
- https://www.altinity.com/blog/2019/6/11/clickhouse-local-the-power-of-clickhouse-sql-in-a-single-command
- http://www.helicalinsight.com/technical-guide/connecting-csvexcel-via-dremio/
- https://drill.apache.org
- https://github.com/eBay/tsv-utils/blob/master/docs/Performance.md