MontFerret
MontFerret is the open-source Ferret project: a declarative-first, expression-oriented language and embeddable runtime for querying, transforming, synchronizing, and automating structured data from applications, websites, APIs, databases, documents, files, and browser state. Its stated aim is to make data automation simpler, more expressive, portable, and easier to maintain.
At a Glance
- Developers and engineering teams
- Organizations automating data collection and transformation
- Teams embedding a portable data language in Go or JavaScript applications
- Users building browser-backed automation, API/database workflows, internal tools, tests, and distributed jobs
- +1 more
AI Tools by MontFerret
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Ferret
Declarative Data Automation Language
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Latest News
Ferret Comes to Visual Studio Code: official preview extension released with language intelligence, formatting, execution, and debugging.
Ferret v2: Moving Beyond AQL; lowercase syntax becomes canonical as the language expands beyond its AQL/query-language origins.
Introducing the Ferret Module Registry for module discovery, compatibility, installation, and publication.
Why Ferret Was Built as a Library First, explaining the embedding-first direction of v2.
Products & Services
Open-source declarative-first, expression-oriented language, compiler, standard library, bytecode VM, and embeddable Go runtime for querying, transforming, synchronizing, and automating structured data.
Alpha-generation complete rewrite with a redesigned language and runtime, compilation pipeline, register-based VM, capability-based execution, reusable plans, isolated sessions, diagnostics, modules, and embedding APIs.
WebAssembly-compiled Ferret runtime exposed to Node.js and modern browsers through the official @montferret/ferret package.
Command-line tooling for running FQL locally, automation and CI, formatting, inspection, debugging, and module workflows.
Market Position
Ferret positions itself as a focused, open-source alternative to bespoke scraping glue and one-off automation scripts: FQL keeps data logic declarative and portable while the host controls capabilities and integrations. It began with web extraction but now spans APIs, databases, documents, files, browser state, and embeddable application runtimes; the project explicitly says it complements rather than replaces general-purpose languages.
Leadership
Founders
Tim Voronov
Independent developer and creator of MontFerret (GitHub username ziflex); his public GitHub profile identifies him as the creator of @MontFerret and lists Raleigh, North Carolina. He writes the Ferret project blog and maintains the repositories.
Executive Team
Tim Voronov
Creator of MontFerret
Developer behind the MontFerret organization and its Ferret repositories; public project posts are authored by him and his GitHub profile identifies him as the project's creator.
Founding Story
Tim Voronov says he started Ferret after needing to scrape websites without writing a thousand lines of glue code for every new page. He wanted to describe operations such as finding links, filtering them, and transforming them without dealing with the underlying mechanics, so he built a small language for his own problem; other users then began relying on it. The original implementation was influenced by ArangoDB's AQL and later evolved into the broader Ferret v2 language/runtime.
Business Model
Revenue Model
Ferret is an independent open-source project supported by GitHub Sponsors, OpenCollective recurring or one-time contributions, and sponsorship tiers. The project also offers separately arranged commercial consulting and professional support for adoption, integration, custom extensions, and related work.
Pricing Tiers
Recognition as a community backer.
Recognition on the Sponsors page, including organization name, logo, and website link.
Enhanced placement on the Sponsors page.
Recognition on the Sponsors page and homepage.
Premium recognition across the website, homepage, and project README.
Highest-level recognition, including featured placement across project materials.
Target Markets
- Developers and engineering teams
- Organizations automating data collection and transformation
- Teams embedding a portable data language in Go or JavaScript applications
- Users building browser-backed automation, API/database workflows, internal tools, tests, and distributed jobs
- Organizations seeking commercial Ferret adoption or integration support
- Web scraping and browser automation
- API, database, document, and file querying
- Structured data extraction, transformation, and synchronization
- Repeatable automation pipelines and jobs
- Embedding portable data logic inside Go, JavaScript, Node.js, or browser applications
- Testing and debugging data-automation scenarios