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External Resources
Joel Natividad edited this page May 13, 2026
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Tier: Beginner
Curated links to learning material, community Q&A, and adjacent projects.
- qsv.dathere.com — run qsv against a sample CSV in your browser. No install required.
- 100.dathere.com — interactive lessons and exercises. Progressive — start at lesson 1, work your way up.
- 100.dathere.com exercises-setup — set up shell completion for the exercises.
- NYC School of Data 2026 — most recent qsv overview
- csv,conf,v9
- PyCon US 2025
- csv,conf,v8
- NYC School of Data 2022 — the introductory talk
A three-part series exploring AI-augmented Civic Intelligence with qsv at the center:
- The People's API is finally here (Jan 2026)
- NYC Snow Analysis 2010–2026 with Claude Cowork
- NYC Housing Policy SOD 2026
These walk through real analyses using qsv + Claude Cowork end-to-end. Excellent reading if you're new to the AI-augmented workflow.
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/docs/whirlwind_tour.md— the original hands-on guided tour throughwcp.csv -
/docs/PERFORMANCE.md— performance tuning -
/docs/BENCHMARKS.md— benchmark methodology -
/docs/STATS_DEFINITIONS.md— every stats metric defined -
/docs/ENVIRONMENT_VARIABLES.md— every env var -
/docs/Validate.md— JSON Schema validation deep-dive -
/docs/Fetch.md— HTTP fetching deep-dive -
/docs/Describegpt.md— describegpt deep-dive -
/docs/INTERPRETERS.md— Luau / Python integration
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qsv.dathere.com/benchmarks — live benchmark results across qsv versions, hardware, and workloads. The numbers cited in
docs/BENCHMARKS.mdand across this wiki link here.
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GitHub Discussions — Q&A, FAQ, announcements, show-and-tell
- FAQ category — the evolving canonical Q&A
- Q&A category — ask anything
- Show & Tell — share your workflows
- Ideas — feature requests
- GitHub Issues — confirmed bugs only
- qsv pro — desktop GUI companion
- qsv-recipes — community Luau scripts (ISBN, unemployment, stemming, geographic, time-series, …)
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qsv-lookup-tables — curated reference CSVs accessible via the
dathere://URL scheme - qsv-cookiecutter — project scaffold for qsv-based pipelines
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DataPusher+ — CKAN extension powered by
qsvdp
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contrib/notebooks/ — Jupyter / Colab notebooks
qsv-colab-quickstart.ipynbWhirlwindtour.ipynbintro-to-count.ipynbqsv_benchmark.ipynb
- repology — packaging status across 30+ Linux distros and package managers
- crates.io: qsv — Cargo package page
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Homebrew formula —
brew install qsv -
Arch packages —
pacman -S qsv -
Scoop —
scoop install qsv -
MacPorts —
sudo port install qsv -
conda-forge —
conda install conda-forge::qsv -
Nixpkgs —
nix-shell -p qsv -
Mise —
mise use -g qsv@latest -
Void Linux —
sudo xbps-install qsv
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Polars — vectorized query engine; powers
sqlp,joinp,pivotp -
csvlens — TUI viewer; powers
lens -
jaq — jq-clone JSON query; powers
fetch --jaq -
MiniJinja — Jinja2 templating; powers
template,fetchpost --payload-tpl,describegptprompts -
Geonames — places gazetteer; powers
geocode -
MaxMind GeoLite2 — IP geolocation; powers
geocode iplookup -
BLAKE3 — cryptographic hash; powers
blake3 -
jsonschema-rs — fastest Rust JSON Schema validator; powers
validate -
Apache DataSketches — approximate algorithms; powers
--cardinality-method approx/--quantile-method approx/--sketch-method frequent_items -
Pragmastat — robust statistics library; powers
pragmastat
- Zenodo DOI — cite qsv in publications
- FOSSA license report — license / dependency audit
- DeepWiki: dathere/qsv — AI-generated overview of the codebase
If qsv saves you time, consider sponsoring datHere — that's what keeps development active.
qsv — GitHub · Releases · Discussions · qsv pro · Try it online · Benchmarks · datHere · DeepWiki · Dual-licensed MIT / Unlicense
Edit this page: Contributing to the Wiki
Home · Why qsv? · Tier legend
- All Commands (index)
- Selection & Inspection
- Transform & Reshape
- Aggregation & Statistics
- Joins & Set Ops
- SQL & Polars
- Validation & Schema
- Conversion & I/O
- Geospatial
- HTTP & Web
- Scripting (Luau / Python)
- Indexing, Compression & Diff
- AI & Documentation