qsv Blazing-Fast CSV Data Wrangling Toolkit

qsv is a high-performance command-line toolkit for querying, transforming, validating, and analyzing CSV and tabular data. Written in Rust, it provides over 50 commands for data wrangling tasks and supports Excel, Parquet, JSON, and other formats.

Installation

Use the upstream install or setup path that matches your environment:

• cargo install zipsign
• brew install qsv
• conda install conda-forge::qsv
• git clone https://github.com/dathere/qsv.git

Requirements and caveats from upstream:

• | py✨<br>📇🔣 | Create a new computed column or filter rows by evaluating a Python expression on every row of a CSV file. Python's [f-strings](https://www.freecodecamp.org/news/python-f-strings-tutori...
• 🔣: requires UTF-8 encoded input.

Basic usage or getting-started notes:

• | luau✨<br>📇🌐🔣📚 | <a name="luau_deeplink"></a>Create multiple new computed columns, filter rows, compute aggregations and build complex...

• | moarstats<br>📇🏎️ | Add up to an additional 55 statistical measures, including extended outlier, robust & bivariate statistics to an existing stats CSV file. ([example](docs/moarstats/NYC_31...

• | schema<br>📇😣🐻‍❄️🏎️👆🪄 | <a name="schema_deeplink"></a>Infer either a JSON Schema Validation Draft 2020-12 ([Example](https://gith...

• Source: https://github.com/dathere/qsv

• Extracted from upstream docs: https://raw.githubusercontent.com/dathere/qsv/HEAD/README.md

Source

• Agent Skill Exchange