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anyquery is an open-source command-line utility developed by JulienCagniart that exposes virtually any data source—ranging from public HTTP endpoints and REST APIs to local CSV, JSON, or SQLite files and even running desktop applications—as queryable relational tables through a unified SQLite-compatible SQL interface. Released under version 0.4.4 and supported by twelve incremental releases since its inception, the tool is aimed at data analysts, DevOps engineers, and automation scripters who need to join or filter heterogeneous information without first importing it into a traditional database. Typical use cases include aggregating live metrics from multiple web services into a single report, diffing configuration files across Git branches, auditing installed software inventories, or prototyping analytics pipelines by treating local folders as schemas and files as tables. Because anyquery implements the SQLite SQL dialect, existing BI tools, Jupyter notebooks, or shell scripts can connect through standard drivers and immediately issue SELECT, INSERT, UPDATE, or CREATE VIEW statements against the virtualized sources. The program is distributed as a lightweight, dependency-minimal binary for Windows, macOS, and Linux, and can be extended with community-contributed plugins that map new APIs or file formats to relational schemas at runtime. Its small footprint and portable design make it suitable for both interactive exploratory sessions and scheduled batch jobs inside CI/CD pipelines. The software is available for free on get.nero.com, with downloads provided via trusted Windows package sources (e.g. winget), always delivering the latest version, and supporting batch installation of multiple applications.
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