# dotnet/llilc

This repo contains LLILC, an LLVM based compiler for .NET Core. It includes a set of cross-platform .NET code generation tools that enables compilation of MSIL byte code to LLVM supported platforms.

Repository: https://github.com/dotnet/llilc
Canonical: https://ross.abutalabs.com/products/llilc
Language: C++
License: MIT
License Family: permissive
Archived: true
Last push: 2022-03-15T01:37:01+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4234, "days_push": 1633, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1514, forks 154 (observed 2026-08-28T04:04:56.413788+00:00)

## What it is
LLILC is an LLVM-based compiler for .NET Core that compiles MSIL bytecode to LLVM-supported platforms, serving as a JIT for CoreCLR and an object emitter/disassembler for CoreRT. The project is now archived and no longer under active development.

## Use cases
- compile .NET MSIL bytecode to native code via LLVM
- use a JIT compiler for CoreCLR based on LLVM
- emit cross-platform object files for .NET CoreRT
- disassemble .NET MSIL code
- build libcoredistools for CoreCLR

## When to choose
- you need an LLVM-based .NET code generation tool for research or historical reference
- you are maintaining legacy CoreRT ObjectWriter builds

## When to avoid
- you need a maintained .NET JIT or compiler - the project is archived
- you want production .NET code generation - use RyuJIT or NativeAOT instead

## Facets
- artifact type: library
- maturity: abandoned
- function: compiler, interpreter
- domain: compilers, programming-languages, developer-tools
- platform: windows, cpp
- tags: llvm, dotnet, jit, msil, coreclr, archived, linux, macos

## Member repositories
- dotnet/llilc (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:56.413788+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:32:12.390328+00:00, confidence not recorded.
  - readme: https://github.com/dotnet/llilc (fetched 2026-08-28T04:04:56.413788+00:00, sha d3b9fd87eea3)
- Data as of 2026-08-30T08:39:29.467469+00:00.