filesql: SQL Driver for CSV, TSV, LTSV, Parquet, and Excel Files in Go

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  1. sqly

    eaisly execute SQL against CSV/TSV/LTSV/JSON and Microsoft Excel™ with shell.

    I previously built sqly and sqluv - both CLI tools for running SQL on CSV/TSV files. After maintaining these projects, I realized I was duplicating the same file-handling logic across both tools. So I thought: why not extract this functionality into a reusable library?

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

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  3. sqluv

    simple terminal UI for RDBMS & CSV/TSV/LTSV at local/https/s3

    I previously built sqly and sqluv - both CLI tools for running SQL on CSV/TSV files. After maintaining these projects, I realized I was duplicating the same file-handling logic across both tools. So I thought: why not extract this functionality into a reusable library?

  4. filesql

    filesql - sql driver for CSV, TSV, LTSV, Parquet, Excel with gzip, bzip2, xz, zstd support.

    The key insight was using Go's standard sql.DB interface. Every Go developer knows how to use database/sql - it's the de facto standard for database operations. By implementing this familiar interface, FileSQL becomes instantly usable for anyone who's written database code in Go.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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Related posts

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    1 project | news.ycombinator.com | 21 Mar 2025
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    2 projects | dev.to | 8 Mar 2025
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