Quokka
Quokka is a strictly self-hosted, deterministic programming language (v0.1.0, MIT) designed for clarity and reliability and targeted at developer and AI/ML workflows with built-in, verifiable self-hosting and a Joey ML extension for LoRA fine-tuning.
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Quick Overview
Best for: Coding
What it does
Coding software for decision-makers comparing workflow fit and alternatives.
Best fit
Coding
Pricing snapshot
Pricing available from Free (MIT)
Next step
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Quokka
Quokka is a strictly self-hosted programming language (v0.1.0, MIT) focused on predictability and reliability for modern developer and AI/ML workflows. It emphasizes deterministic language design, explicit error handling via Result and Option types (with the ? operator), and immutable-by-default bindings with explicit mutability for safer state changes. Quokka's toolchain is self-hosted and verifiable: a small C bootstrap (Stage 0) runs a canonical Quokka interpreter written in Quokka and the project provides a multi-stage cryptographic verifier (quokka check-self) so you can confirm build correctness locally. The Joey extension provides ML capabilities by interfacing with Python, PyTorch and Unsloth via a typed JSON IPC bridge for LoRA fine-tuning with CUDA support today.
Quokka is a self-hosted programming language with a verifiable check-self bootstrap, deterministic Result/Option error handling, and Joey, a built-in extension for LoRA fine-tuning via Unsloth. Free, open source, MIT licensed.
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Claim this listing for $29Key Features
Deterministic language design
Quokka emphasizes predictability: explicit error handling with Result and Option types and no hidden control flow for exceptions.
Explicit mutability
Variables are immutable by default; mutability requires explicit opt-in (let / let mut / shadow).
Self-hosted toolchain and verifiable builds
The compiler and core toolchain are written in Quokka; a small C bootstrap runs the canonical interpreter and quokka check-self re-bootstraps and compares cryptographic hashes of AST and outputs across stages.
Joey ML extension (Python/Unsloth IPC)
Joey provides ML integration via a strictly typed JSON IPC boundary to Python and PyTorch, orchestrating LoRA fine-tuning through Unsloth and supporting CUDA-accelerated training.
Simple installer and editor integration
Windows installer configures PATH, registers .qka file extension, and installs a VS Code extension automatically.
Open source (MIT)
Quokka is distributed under the MIT License starting at v0.1.0 and the source is available to review and verify.
Pricing
Free and open source under the MIT License.
Open source
Free (MIT)- Source available under the MIT License
- Downloadable v0.1.0 release
Use Cases
Deterministic systems and tooling
Write predictable programs where errors are handled explicitly and state changes are deliberate, aiding debugging and auditability.
Self-hosted compiler/toolchain verification
Run quokka check-self to cryptographically verify the multi-stage bootstrap and ensure the compiler/toolchain on your machine matches canonical outputs.
ML fine-tuning workflows
Use Joey to orchestrate LoRA fine-tuning of models like Llama-3 via a Python/Unsloth bridge with CUDA acceleration.
Developer workflows and tooling
Install Quokka with an automated installer and VS Code integration to integrate the language into development environments quickly.
Integrations
Python / PyTorch / Unsloth (Joey)
Joey writes a JSON IPC manifest and spawns an isolated Python and Unsloth process to run training, enabling LoRA fine-tuning and CUDA-accelerated workflows.
VS Code
Installer installs a VS Code extension for syntax highlighting and editor integration.
Benefits
Limitations
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Step 1: Download Quokka-Setup.exe from the Releases page on the Quokka site.
- 2 Step 2: Run the installer (it configures PATH, registers the .qka file extension, and installs the VS Code extension).
- 3 Step 3: Open a terminal and run a script, e.g. `quokka run hello.qka` or run `quokka check-self` to verify the build.
Support
docs
Documentation & Guides (Hello, Quokka; Install; Language Reference; Joey specification) accessible from the site.
community / contributing
Contributing Guide and community resources are linked on the site for contributors.
issues / source
Project source and issue tracking are available via the project's GitHub (link referenced on site).
API
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