multiprocessio/dsq
Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more. observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1696
- days_rel: n/a
- days_push: 1068
- n_releases_24m: 0
Adoption not part of the score
3866 stars · 162 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
dsq is a Go command-line tool that lets you run SQL queries directly against data files such as JSON, CSV, TSV, Excel, and Parquet, powered by SQLite under the hood. It is a CLI companion to the DataStation GUI and supports piping, joins across files, and schema introspection.
Use cases
- run sql queries against a csv file from the command line
- query json files with sql
- join multiple csv and json files with sql
- convert excel or parquet data to json
- inspect the inferred schema of a data file
- ad-hoc analytics on local data files without loading a database
When to avoid
- you need high-performance analytics on large datasets - the project recommends DuckDB, clickhouse-local, or GlareDB instead
- you need actively developed software - the project is not under active development
- you need column-oriented storage, vectorized execution, or advanced SQL features beyond SQLite
Facets
cli-tool · maturity maintenance
cli database etl data-science parser data-science developer-tools files analytics cli cross-platform windows go sql-queries data-files sqlite json csv parquet excel data-wrangling command-line macos linux
1 source
- readme: https://github.com/multiprocessio/dsq · fetched 2026-08-28 · c20c75601626
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| multiprocessio/dsq | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="multiprocessio/dsq")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem