Quokka Language Contributors
Quokka Language Contributors is the open-source project behind Quokka, a deterministic, strictly self-hosted programming language designed for clarity, reliability, and modern AI workflows. Its core emphasizes explicit error handling and mutability, while the optional Joey extension provides an ML integration boundary.
At a Glance
- Developers interested in programming-language design and self-hosting
- Windows developers seeking a lightweight language and integrated installer/tooling
- AI/ML practitioners building fine-tuning workflows
- Open-source contributors and language/toolchain researchers
AI Tools by Quokka Language Contributors
(1)Quokka
Self Hosted Programming Language
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Latest News
Quokka v0.1.0 released with self-hosted language implementation, installer, editor configuration, and Joey ML extension
v0.1.0-updated release published with executable assets and release-file cleanup
Fully self-hosted compiler and native C/CUDA Joey runtime implementation committed
Developer landing site added at quokka.space
Products & Services
A dynamically typed, expression-oriented, interpreted language with Rust-inspired syntax, deterministic semantics, self-hosted lexer/parser/AST/evaluator, immutable-by-default bindings, explicit mutation and shadowing, Result and Option types, match expressions, and the ? operator.
A modular Quokka extension for ML workflows. It uses a strictly typed JSON IPC boundary to orchestrate Python, PyTorch, and Unsloth processes for tasks such as Llama-3 QLoRA/LoRA fine-tuning, with CUDA support and native C/CUDA runtime work in progress.
A standalone Windows installer that configures PATH, .qk file associations, and editor setup, including VS Code syntax highlighting.
Market Position
Quokka targets a niche between approachable scripting and systems-oriented language design: it combines Rust-inspired syntax and safety-oriented conventions with a strictly self-hosted, deterministic, exception-free core. Its differentiator versus conventional general-purpose languages and Python-centric ML tooling is the separation of a verifiable language core from Joey's JSON-IPC ML extension, while retaining access to PyTorch/Unsloth/CUDA workflows.
Leadership
Founders
Akshraj2022 / Quokka Dev
The GitHub repository is owned by the Akshraj2022 account and the project commits are authored under the name Quokka Dev. The project website says Quokka was built solo; no personal name or prior-company biography is published in the reviewed sources.
Founding Story
The project was started as a solo effort to build a predictable, deterministic language whose compiler could bootstrap and verify itself. The initial vision combines a small C bootstrap host with a canonical interpreter written in Quokka, explicit Result/Option-based failure handling, and an isolated ML workflow rather than embedding Python in the language core.
Business Model
Revenue Model
Open-source distribution under the MIT License; the reviewed project sources provide downloads and source code but do not describe a paid service or commercial monetization model.
Target Markets
- Developers interested in programming-language design and self-hosting
- Windows developers seeking a lightweight language and integrated installer/tooling
- AI/ML practitioners building fine-tuning workflows
- Open-source contributors and language/toolchain researchers
- Writing small, predictable general-purpose scripts and programs
- Learning or experimenting with self-hosted language implementation and bootstrapping
- Applications where explicit failure handling and traceable mutability are preferred
- Llama-3 and related LoRA/QLoRA fine-tuning workflows through Joey
- AI/ML experimentation using Python, PyTorch, Unsloth, and CUDA without embedding Python in the core language