- a Happy New Year 2026 flavor, with the Cowboy shouting \"MCP & Claude Agent SDK!\" Keep the same dimensions and make sure the QSV lasso is there and don't put a party hat on the Cowboy.")<br/>[_Hi-ho "Quicksilver" away!_](https://www.youtube.com/watch?v=p9lf76xOA5k)<br/><sub><sup>[original logo details](https://github.com/dathere/qsv/discussions/295) * [Base AI-reimagined logo](docs/images/qsv_logo-gemini-nano-banana-small.png) * [Event logo archive](docs/images/event-logos/)</sup></sub><br/>|qsv is a command line program for querying, slicing,<br>indexing, analyzing, filtering, enriching, transforming,<br>sorting, validating, joining, formatting, converting &</br>[FAIR](https://www.go-fair.org/fair-principles/)ifying tabular data (CSV, spreadsheets, DBs, [etc](#file-formats)).<br>Commands are simple, composable & ___["blazing fast"](https://github.com/dathere/qsv/discussions/1348)___.<br><br>* [Commands](#available-commands)<br>* [Installation Options](#installation-options)<br> * [Whirlwind Tour](docs/whirlwind_tour.md#a-whirlwind-tour) / [Notebooks](contrib/notebooks/) / [Lessons & Exercises](https://100.dathere.com)<br>* [Cookbook](https://github.com/dathere/qsv/wiki/Cookbook#cookbook)<br>* [FAQ](https://github.com/dathere/qsv/discussions/categories/faq)<br>* [Performance Tuning](docs/PERFORMANCE.md#performance-tuning)<br>* 👉 [Benchmarks](https://qsv.dathere.com/benchmarks) 🚀<br>* [Environment Variables](docs/ENVIRONMENT_VARIABLES.md)<br>* [Feature Flags](#feature-flags)<br>* [Goals/Non-goals](#goals--non-goals)<br>* [Testing](#testing)<br>* [NYC SOD 2022](https://docs.google.com/presentation/d/e/2PACX-1vQ12ndZL--gkz0HLQRaxqsNOwzddkv1iUKB3sq661yA77OPlAsmHJHpjaqt9s9QEf73VqMfb0cv4jHU/pub?start=false&loop=false&delayms=3000)/[csv,conf,v8](https://docs.google.com/presentation/d/10T_3MyIqS5UsKxJaOY7Ktrd-GfhJelQImlE_qYmtuis/edit#slide=id.g2e0f1e7aa0e_0_62)/[PyConUS 2025](https://docs.google.com/presentation/d/e/2PACX-1vRKFnU0Hm8oDrtCYbxcf96kHVsPcoLU05jPVNYaAs09D05gPMWDJ96q_4_zgUvadGro4deohisy-XtY/pub?start=false&loop=false&delayms=3000)/[csv,conf,v9](https://docs.google.com/presentation/d/1j-S0q5gqR8agsqIPBVXabGEntMlc4FDTwb4r-v8-9tA/edit?usp=sharing)<br>* [Sponsor](#sponsor)
0 commit comments