Open source ML programming language playground
Details
- External ID
- 49543217
- Source
- HN
- Company
- —
- Product
- Open source ML programming language playground
- Website domain
- github.io
- Launched
- Sept. 2, 2026
- Cohort
- —
- Upvotes
- 11
- Upvotes percentile
- 0.6220095693779905
- Tags
- —
- Fetched at
- Sept. 10, 2026, 5:31 a.m.
- Updated at
- Sept. 10, 2026, 5:31 a.m.
Description
After joining a ML Study group and trying Google Colab I decided to create my own array programming language to help me learn and visualize machine learning. There are many demo repos using this language which has become more general purpose. Under active development. See github link in footer. Built in Tour, Demos, Tutorials, Glossary, etc. Can use this same UI on a local system to program Apple Silicon, NVIDIA GPUs, or to use Ollama models for context aware help in the REPL.The system architecture is documented in the wiki: https://github.com/sw-ml-study/sw-mlpl/wiki
Enrichment
- Theme
- database infrastructure and developer tools
- Vertical
- Horizontal
- Function
- Dev tools
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- ml programming language playground
- Manually corrected
- False
Could you build this?
No Designing and implementing a novel array programming language compiled to WebAssembly requires deep expertise in compiler architecture, type systems, and parser design.
What it would actually take: Built with Rust compiling to WebAssembly (Wasm) using Trunk and wasm-bindgen, interfacing with Three.js/D3 for rendering. The hard part is designing the custom array language: writing the lexer, parser, abstract syntax tree (AST), interpreter/JIT, and memory layout for multidimensional tensors. This requires deep compiler design and language theory expertise that cannot be vibed into existence.
Discussion
No comments on this launch.
Competitors
Other products that read as similar to this one — 36 launches clear the similarity bar, closest 8 shown.
Attention rank: #15 of 37 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 299 days after the earliest competitor.
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- Intro-A-ML · github · 2026-09-09 · 14 upvotes · similarity 0.36
- QuiddityML · ph · 2026-09-15 · 2 upvotes · similarity 0.35
- Open-source alternative to Duolingo for learning anything · hn · 2026-05-27 · 7 upvotes · similarity 0.35
Other launches for this product
- No other launches for this product.
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