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GitHub - dima-quant/nimic: Nimic is a pure Python module ...
dima-quant · 2026-05-31 · via Show HN

Nimic is a pure Python module that facilitates writing AOT compilable code with a subset of Python (domain specific language), aiming to get C-level performance without leaving Python. Based on ctypes built-in module, it includes emulation of native types, pointers and operations on them, implementing dispatch, operator overloading, and templates. Nimic closely follows Nim programming language, to which nimic code transpiles.

Key principle: nimic code is valid Python that runs natively and transpiles to equivalent Nim code.

Module Architecture

nimic/
├── ntypes.py       — Public API: re-exports type system + Nim keyword/builtin shims
├── ntypesystem.py  — Core type system (Object, NScalar, seq, dispatch, distinct, converter)
├── transpiler.py   — AST-based Python → Nim source code transpiler
├── inliner.py      — Template function inlining (@template, @template_expand)
├── ncode/          — Nim definitions (pydefs.nim, pystd/)
├── nimpy/          — API for generating Python libraries
├── std/            — Python shims for Nim stdlib (math, options, os, paths, strformat, ...)
└── system/         — Python shims for Nim system modules (ansi_c)

ntypesystem.py — Core Type System

Organized in layers from low-level memory to high-level abstractions:

Layer Classes Purpose
Memory Ntype, NTypeRegistry ctypes-backed buffers with value semantics
Scalars NScalarNInteger / NFloat Fixed-width types (int8..int64, uint8..uint64, float16..float64) with arithmetic promotion
Structs Object Nim "object" — fields via annotations, backed by ctypes.Structure
Enums NIntEnum Nim integer enums with auto-registration
Variants Object + match kind: Nim "case object" — discriminated unions
Containers seq[T], UncheckedArray[T] Growable sequence and pointer-indexed array
Dispatch @dispatch, DispDict, NMetaClass Nim-style multi-dispatch via type annotations
Modifiers @distinct, @converter Type distinctness and trivial type conversions
Strings string str subclass with Nim-compatible &, %, isEmpty

ntypes.py — Public API & Keywords

Re-exports all of ntypesystem and adds Nim keyword/builtin emulation:

  • Compiler hintsconst, let, var, block, export, alias (no-ops in Python, scoping in Nim)
  • Reference typesref, ptr, mut@ (@ operator returns identity)
  • Enum utilitiesNStrEnum with succ/pred/ord/nrange/low/high
  • Cast & memorycast[T](x), sizeof(x), addr(x), unsafe_addr(x)
  • Type aliasesSomeInteger, SomeFloat, untyped, char, u64, i64, f64
  • Iterationfields(obj), fields(a, b), countdown(a, b)
  • Compile-timecomptime(x), defined(varname), static
  • Templates@template, @template_expand (re-exported from inliner)

transpiler.py — Python → Nim Transpiler

A modified CPython ast.py where _Unparser is extended to emit Nim syntax. Implements 30+ transformation rules for indentation, type definitions, function signatures, operators, imports, and control flow.

inliner.py — Template Inlining

@template + @template_expand decorators perform AST-level function inlining for untyped templates, substituting parameter names with call arguments.

DSL Conventions

Nimic uses Python syntax with specific conventions that have dual meaning — runtime behavior in Python and transpilation semantics for Nim:

Convention Example Purpose
with let/var/const: with let: x = vec3(1,2,3) Variable declaration scope qualifier
mut @ annotation def f(x: mut @ Vec3): Mutable argument (var in Nim)
{.pragma.} docstring """{.inline.}""" Nim pragma (inline, borrow, noSideEffect)
@dispatch @dispatch
def f(x: float64):
Multi-dispatch by argument types
@distinct @distinct
class Color(Vec3):
Distinct type (no implicit conversion)
@template @template
def toUV(v):
Template (inlined at call site)
@converter @converter
def toVec3(uv):
Implicit type converter
<<= dst <<= -src Value assignment to mutable variable
match kind: match kind:
  case K.a: ...
Variant type definition (case object)
comptime(expr) if comptime(cond): Compile-time evaluation (when in Nim)
fields(obj) for f in fields(obj): Iterate over object fields
with export: with export: mod1, mod2 Re-export modules

Projects built with nimic

Quick Example

from __future__ import annotations
from nimic.ntypes import *

# Struct definition (Nim object)
class Vec3(Object):
    x: float64
    y: float64
    z: float64

    def __add__(self: Vec3, v: Vec3) -> Vec3:
        """{.inline.}"""
        result = Vec3()
        result.x = self.x + v.x
        result.y = self.y + v.y
        result.z = self.z + v.z
        return result

# Distinct type
@distinct
class Point3(Vec3):
    """{.borrow: `.`.}"""

# Multi-dispatch
@dispatch
def point3(x: float64, y: float64, z: float64) -> Point3:
    result = Point3(Vec3())
    result.x = x; result.y = y; result.z = z
    return result

# Usage
with let:
    a = point3(1.0, 2.0, 3.0)
    b = point3(4.0, 5.0, 6.0)
    c = Vec3(a) + Vec3(b)