Zamin: A Scripting Language with a Rust-Based Bytecode VM and GPU-Accelerated ML A developer built Zamin, a scripting language with a Rust-based interpreter, register-based bytecode VM, and mark-and-sweep garbage collector. The language features closures, pattern matching, string interpolation, and a module system, with a built-in CLI toolchain. Benchmarks show Zamin outperforms Python in tight integer loops but lags in string and list-heavy code. I've spent the last several months building Zamin , a scripting language with a Rust-based interpreter, a register-based bytecode VM, and a mark-and-sweep garbage collector. I wanted to share it here and get feedback from people who actually build languages and runtimes. Repo: https://github.com/young-developer90/zamin https://github.com/young-developer90/zamin MIT licensed I wanted something in the same territory as Python for everyday scripting -- closures, pattern matching, string interpolation, a real module system -- but compiled to bytecode instead of tree-walked, with a project/CLI toolchain built in from day one rather than bolted on later. func fibonacci n { if n <= 1 { return n; } return fibonacci n - 1 + fibonacci n - 2 ; } for i in 0..10 { print f"fib {i} = {fibonacci i }" ; } The pipeline is fairly conventional: lexer - parser - AST - compiler - bytecode - VM. A few things I focused on: OP ADD INT IMM that skip boxing and type checks for the common case.Benchmarked against Python 3 wall-clock, same machine : | Benchmark | Zamin | Python 3 | Ratio | |---|---|---|---| | Recursive fib 32 | 1.51s | 0.35s | 4.3x slower | | Integer loop 5M ops | 0.47s | 0.53s | 0.9x -- faster than Python | | String concat 100K | 3.14s | 0.23s | 13.4x slower | | List push 500K | 0.13s | 0.09s | 1.5x slower | Tight integer loops are Zamin's strongest case. String and list-heavy code still lags CPython -- that's an open problem I'm actively working on, not something I'm hiding. luna Linux/GTK4 and sol Windows cv module linum with a small PyTorch-style API -- Sequential , Linear , Adam , CrossEntropyLoss -- that runs against CUDA when available py.import "numpy" with automatic type marshalling zamin::execute source , zamin::execute file zamin run , zamin repl , zamin fmt , zamin test , zamin build , zamin new git clone https://github.com/young-developer90/zamin.git cd zamin cargo build --release ./target/release/zamin run examples/hello.zamin Requires Rust 1.80+. Docs with a getting-started guide, full language reference, and stdlib reference are at https://young-developer90.github.io/zamin/ https://young-developer90.github.io/zamin/ -- also translated into Farsi and Japanese. I'd genuinely appreciate feedback, especially on the VM design and where the string/list performance gap is likely coming from. Happy to answer questions in the comments.