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Life & fun · November 26, 2024

SQLite Plugin for Jekyll

I love Jekyll, especially the Datafiles[0] feature, which lets you use CSV/JSON/YAML files and iterate through them. Mixed with the Jekyll Data Pages generator[1], which lets you create a page for every row in your dataset, it is a very powerful combination. However, Liquid is a terrible language for data-mangling, and simple filtering/sorting/merging can become very annoying. So I wrote a Jekyll SQLite plugin that lets you use the same data interface in Jekyll/Liquid, but backed by a SQLite file(s). It gives you the simplicity of the Baked Data pattern[2], and the…

SQLite Plugin for Jekyll launched on November 26, 2024 with 227 votes, #177 of 4,990 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.

In plain words

SQLite Plugin for Jekyll lets users query SQLite databases directly within Jekyll's static site generator using Liquid templating. Designed for Jekyll users who work with data files, it replaces the limitations of Liquid with SQL for filtering, sorting, and merging datasets. The plugin combines the simplicity of the Baked Data pattern with SQL's data-handling capabilities, enabling complex queries at both site and page levels while generating pages from dataset rows.

written from the facts on this page · September 2026

From the sources

A Jekyll plugin to use SQLite databases as a data source. - captn3m0/jekyll-sqlite

A Jekyll generator plugin to lets you use SQLite database instead of data files as a data source. It lets you easily create APIs and websites from a SQLite database, by linking together a database file, your template, and the relevant queries. It supports site-level queries, per-page queries, and prepared queries that can use existing data (possibly generated via more queries) as parameters. The primary usecase is to avoid Liquid Hell , wherein you're left mangling multiple data sources from CSV/JSON/YAML files using liquid templating by saving temporary variables, creating maps, and so on. SQL is a decent language for reshaping datasets - supporting joins, filters, and aggregations. So…from github.com

In the maker’s words, at launch

I love Jekyll, especially the Datafiles[0] feature, which lets you use CSV/JSON/YAML files and iterate through them. Mixed with the Jekyll Data Pages generator[1], which lets you create a page for every row in your dataset, it is a very powerful combination. However, Liquid is a terrible language for…

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