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Products that do what SQLite query inside a Bash function does

Part of the workflow for building my website is the generation of a table in tab-separated column format (.tsv). The source data is found in four other .tsv files. I use an SQLite query to perform a 4-way join and write out the new table. For convenience, I wrote a script that encapsulates the query inside a Bash function. The example below illustrates this technique. repertoire() { pushd $CMM_SOURCES&#x2F;_data sqlite3 <<EOS .headers on .mode tabs .import category.tsv category .import composition.tsv composition .import concert.tsv concert .import program.tsv program .once repertoire.tsv…

  1. 1

    In-browser SQL Workbench for data querying & visualization

    2024

  2. 2GD

    Here's the repo: https:&#x2F;&#x2F;github.com&#x2F;simonw&#x2F;google-drive-to-sqlite The README is using a trick I'm increasingly leaning on: parts of that document - the --help output and the example database schema - are automatically generated using Cog: https:&#x2F;&#x2F;nedbatchelder.com&#x2F;code&#x2F;cog and https:&#x2F;&#x2F;til.simonwillison.net&#x2F;python&#x2F;cog-to-update-help-in-r...

    2022 · simonwillison.net

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    A spreadsheet with SQL, JavaScript, and Python built in

    2022

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    ClaySQL141

    Run SQL queries directly in Google Sheets

    2021

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    TABLUM.IO159

    Turn CSV, XML & JSON into a live analysis-ready SQL database

    2023

  6. 6SS

    SPyQL (https:&#x2F;&#x2F;github.com&#x2F;dcmoura&#x2F;spyql) is SQL with Python in the middle, an open-source project fully written in Python for making command-line data processing more intuitive, readable and powerful. Try mixing in the same pot: a SQL SELECT for providing the structure, Python expressions for defining transformations and conditions, the essence of awk as a data-processing language, and the JSON handling capabilities of jq. How does a SPyQL query looks like? $ spyql “ IMPORT pendulum AS p SELECT (p.now() - p.from_timestamp(purchase_ts)).in_days() AS days_ago, sum_agg(price…

    2022 · github.com

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  8. 8MI
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  10. 10CP
  11. 11JG
  12. 12SI
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    Analyze CSV records using sql syntax right in your browser

    2022

  14. 14CQ
  15. 15

    Generate arduous database queries in a snap

    2023

  16. 16DS

    I played around with GPT-3 to build this demo. Select a public BigQuery dataset and describe your query in natural English, then edit the generated SQL as needed and execute it. https:&#x2F;&#x2F;app.tabbydata.com&#x2F;sql-assistant-demo

    2021

  17. 17RL

    Repere lets you drop CSV&#x2F;JSON&#x2F;Parquet&#x2F;XLSX files into your browser and immediately query them with full DuckDB SQL. Nothing gets uploaded, everything runs locally via DuckDB WASM. Unlike Excel and Google Sheet it can handles millions of rows easily. Features: - Filter, sort, join, pivot across multiple files Every transformation becomes a node in a visual pipeline (DAG) - Full undo&#x2F;redo, real-time recomputation - Export results or replay pipelines on new files with the same schema - Works offline - Sparklines, themes and charts

    Jan 2026 · repere.ai

  18. 18SS

    Inspired by .http files and HTTPYac, SQLYac lets you write executable SQL documentation with variables, safety prompts, and per-query targeting. Instead of scattered .sql files or copy-pasting into clients, write annotated queries once and pipe them to any sql database client. Variables get substituted, destructive queries can prompt for confirmation, and your schema stays documented alongside actual queries. For example, if you have a `queries.sql` file like this: --- -- @name QueryWithVariables SELECT * FROM orders o, users u WHERE u.id=@user_id AND u.active=@active AND o.status=@status…

    Oct 2025 · github.com

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    Lightweight & intuitive GUI editor for SQLite databases

    30d ago

  20. 20SE

    Introducing sqlxport: export SQL query results to Parquet&#x2F;CSV in seconds — and optionally upload to S3 or MinIO. Works with PostgreSQL & Redshift CLI-first, cloud-friendly Great for data pipelines and engineers

    2025 · github.com

  21. 21BI
  22. 22DQ

    What started as a Claude Code experiment turned into a browser-native SQL workbench I now use daily. Runs DuckDB WASM entirely in your browser. No backend, no installation, no signup. - Query local files (CSV, Parquet, Excel) – data never leaves your machine - Handles 100M+ rows, 50GB+ files in a browser tab - Full UI: Monaco editor, schema explorer, spreadsheet-style results grid - Share SQL via URL – anyone can run your query instantly - BigQuery connector built-in (Snowflake coming) v0.2 – actively developing. Feedback welcome. GitHub (MIT):…

    Dec 2025 · sql.dbxlite.com

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    2015 · alpinejoe.github.io

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