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csvkit vs jq

csvkit

csvkit.readthedocs.io

jq

jqlang.org

Side by side

Figurecsvkitjq
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
Web—Yes
WindowsYesYes
macOSYesYes
LinuxYesYes
Self-hosted—Yes
Plans published11
Spec score · Data Transformation Tools8.2 (#13)8.6 (#9)
SupportUser support is provided through the documentation, GitHub issues, and community contributions.The project points users to Stack Overflow, the #jq Libera.Chat channel, and its Discord server for questions and discussion.

Plans

csvkit

  • Open-source csvkitFree

csvkit pricing →

jq

  • jqFree

jq pricing →

In their own words

csvkit

csvkit is a suite of command-line tools for converting, processing, and analyzing CSV files. Its commands include importing, cleaning, selecting columns, filtering, joining, sorting, and stacking data, as well as formatting and analysis. The in2csv command converts Excel XLS/XLSX, JSON, and fixed-width files to CSV. For database work, csvsql can query CSV data with SQL and import it into PostgreSQL; sql2csv extracts query results from PostgreSQL. Database connections use SQLAlchemy dialects, with PostgreSQL and MySQL listed in troubleshooting guidance. By default, delimiter detection uses the first 1024 bytes of input. The tools also infer types such as numbers, dates, and booleans, though that inference can be wrong. csvkit runs on Linux, macOS, and Windows with a supported Python version; current project metadata requires Python 3.10 or later. Some commands buffer entire files in memory, so large inputs can reach the toolkit's limits. Installation options include pip and Homebrew, and the project recommends virtual environments. It is self-hosted, code-driven, and released under the MIT License without warranty.

Visit csvkit.readthedocs.io

jq

jq is a free command-line processor for selecting and transforming JSON data. A jq filter takes an input and produces output; filters can be combined to access nested attributes, construct objects, gather results into arrays, or make other transformations. It reads whitespace-separated JSON values and writes serialized results separated by whitespace. Each expression runs on each input value and may produce zero or more outputs. For very large inputs, the --stream option parses incrementally. Output options include compact, raw, ASCII, sorted-key, and colored forms. Written in portable C, jq has no runtime dependencies, and a standalone binary can be copied to another machine of the same type. Standalone executables are available for Linux, macOS, and Windows, with packages listed for Linux distributions and package managers including Homebrew, MacPorts, winget, Scoop, and Chocolatey. A Docker image is also available. Release binaries have SHA-256 checksums, and signed release artifacts use jq release keys. The code is licensed under MIT; the documentation uses CC-BY-3.0.

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