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Raku++

A from-scratch implementation of the Raku programming language in C++17, with no third-party dependencies — a hand-written lexer, parser, and tree-walking evaluator that runs real Raku (classes, roles, grammars, regexes, multi-dispatch, junctions, lazy sequences, a bignum tower, Unicode-correct strings, and concurrency), can also compile a program to a standalone native binary, and — as Raku.js — runs in the browser via WebAssembly, no server required. It is not a fork of Rakudo and shares no code with it; it targets the language, measured against Roast, the official Raku test suite.

Status: current release v5.1.0 (2026-09-30) — 100.00% of Roast. Of the tests Roast expects an implementation to pass, all 218,420 pass, and all 1,424 files in Roast's spectest.data pass completely (Roast 1f749e338). On Roast 1f521d798, which v5.0.0 was measured against and whose todo for one TTY test does not name macOS 27, it is 1,423 files; Rakudo 2026.08, measured the same way on the same machine, passes 1,414 of them (ROAST.md). v5.1.0 also interprets up to 29% faster than v5.0.0 (BENCHMARKS.md). Every release is written up in the CHANGELOG, and what each major set out to do is in VERSIONS.md.

Next: v6 is about speed (V6-PLAN.md). Beside it, the ecosystem: 1,019 of 2,547 distributions pass their own test suites, measured by a fresh sweep on v5.0.0. Rakudo, run on the same machine through the same harness (2026-09-16, 2,529 dists), passes 1,791; the other 738 cannot pass there under any engine, for want of libgsl, fontconfig or a network. Every distribution, with how it ran, is at raku.online/modules/ecosystem.

v5.1.0 at v4.0.0 at v3.0.0
Roast tests, skip and todo left out‡ 218,420 of 218,420 (100.00%) — —
Roast tests, every declared test‡ 220,055 of 220,055 (100.00%) 200,843 of 219,610 (91%) 197,191 of 218,772 (90%)
Roast files fully passing, of 1,424 1,424 656 —
Official documentation examples byte-identical on both engines 1,006 957 945
Modules — the 59-dist battery, each against its own suite 48 / 59 49 / 59† 47 / 59
Modules — the whole ecosystem 1,019 of 2,547§ 1,006 of 2,529 —
Local regression suite 1,167 1,020 398

Dashes mean the measurement did not exist yet. The v5.1.0 Roast figures are on the 1,424 files spectest.data lists at Roast 1f749e338; the older columns were measured on the whole checkout (1,464 files at v4.0.0, 1,462 at v3.0.0), and 656 is how many of the 1,424 v4.0.0 passed.

¶ Measured for v5.0.0 (the documentation examples) and v5.0.1 (the battery); v5.1.0 did not re-run those two sweeps.

§ A fresh sweep of every distribution in the index on the v5.0.0 release binary, 2026-09-29 (ECOSWEEP); v4.0.0's figure was a warm-store board.

† v4.0.1, re-measured against Rakudo on 2026-09-29. v4.0.0 published 50 / 59, but its runner's reference engine was Raku++ itself (see the v5.0.0 CHANGELOG entry).

‡ How these are counted and gated — COUNTING.md.

Install

curl -fsSL https://raku.online/install.sh | sh          # macOS, Linux, the BSDs
# Windows, in a PowerShell window — irm and iex are PowerShell's own aliases
irm https://github.com/ghraw/ash/rakupp/main/tools/install-windows.ps1 | iex

Neither needs root or an administrator. Each downloads the archive for the machine it is running on, checks it against the published SHA-256, unpacks it into a per-user prefix, asks whether you also want the engine under the second name raku, and puts it on your PATH. Then open a new terminal.

rakupp upgrade        # later: replace it with the latest release, in place

On macOS there is the Homebrew tap as well — brew tap ash/rakupp && brew install rakupp — and on Windows a wizard: rakupp-setup-windows-x64.exe, with the same two questions as checkboxes and an Add/Remove Programs entry.

Or unpack a prebuilt archive — macOS universal, Linux x86_64 and ARM64 (static libstdc++, glibc 2.28+), OpenBSD, Windows x64 — from the Releases page and put its bin/ on your PATH.

Build from source

# Needs a C++17 compiler + CMake → produces build/rakupp
cmake -S . -B build -DCMAKE_BUILD_TYPE=Release
cmake --build build -j 4

cmake --install build --prefix ~/.local then installs the binary plus the runtime that --exe links against. Windows (MSVC) specifics, the GNU Guix channel, and the Nix flake are in INSTALL.md.

Quick start

Write it. Run it. Compile it.

rakupp -e 'say "hello, world"'   # a one-liner  (or: echo 'say 42' | rakupp)
rakupp app.raku                  # run a file — no build step
rakupp --exe app.raku -o app     # compile it
./app                            # one file, and it needs nothing you have

Common options

Option Meaning
FILE / -e 'CODE' / - (stdin) Run a program from a file, a one-liner, or standard input (rakupp - ARGS… gives a stdin program its @*ARGS)
-I <path> / -M <module> Add a module search directory / load a module first (both repeatable)
-n / -p / -a / -F<sep> / -i[.ext] The Perl one-liner family: line loop, autoprint, autosplit, in-place edit (clusters: -lane, -pi.bak)
--profile[=FILE] Routine-level wall-time profile after the run (.json for machine-readable)
--jit[=SPEC] (work in progress) Compile hot loops to native code while the program runs and enter them mid-loop. Off by default; see JIT.md
--cnp[=SPEC] (work in progress) The same, by copy-and-patch: hot loops are stitched from machine-code snippets compiled into rakupp itself, so no C++ compiler is needed and nothing is cached. Off by default. These two are one feature with two backends, and the plan is for --cnp to become the default and --jit to go; see JIT.md
--exe SRC -o OUT Native-compile to a standalone binary (also --bundle, --aot)
--target=js SRC -o OUT.js Transpile to JavaScript for Node, Bun, Deno or a browser (--verify checks it against the interpreter; see JS.md, walked through in JS-TUTORIAL.md)
--highlight [SRC] Syntax-highlight Raku to HTML (--html) or terminal (--ansi)
--mcp Serve the interpreter over the Model Context Protocol for AI agent clients
--jupyter FILE Run as a Jupyter kernel (--jupyter-install registers it with Jupyter)
--lint SRC Static-analyze without running: unused variables, unreachable code, etc.
-c / --ast SRC Compile-check only (parse + every variable declared) / print the parsed AST
-q / --quiet Drop what a mode says about itself (Syntax OK, Compiled …, the installer's already installed:); output, warnings and errors stay. Any mode
--watch Rerun on change — the program file, or a module under -I/lib/; with -c or --lint, a live check loop
--repl-after / --trace / --stagestats Run, then a session on the program's live state (python -i) / print each statement as it runs / phase timings and module-load times
--json -c and --lint findings as a JSON array (file, line, severity, rule, message)
--seed[=N] / --stack-size=N Pin the random generator (bare --seed picks and prints one) / size the recursion ceiling (default 1G, a bare number is MiB)
--env-file=FILE / RAKUPP_OPT / --color=WHEN / -x Load a .env first / standing options from the environment (options only) / colour auto, always, never (NO_COLOR honoured) / skip to the #! line
rakupp doc SYMBOL / --completions=SHELL Look a builtin, method or operator up offline / a completion script for bash, zsh or fish
-v / --version · -V / --info The release, the build it came from and the platform, on one line / the full build report: also the Raku version implemented, the compiler, the FFI backend NativeCall found and which binary answered. Quote --info whole in a bug report

Flags are position-independent and cluster like Perl's (rakupp -pi.bak -e '$_ = $_.subst("a", "b")' *.txt works as you'd hope). Full reference: CLI.md.

Modules

Raku++ installs modules from the ecosystem with its own installer — compatible with zef, so a module installed by either tool is picked up by use under either engine:

rakupp install JSON::Fast        # or: zef install JSON::Fast   (via Rakudo)
rakupp install ./my-dist         # a checkout, or a URL:
rakupp install https://github.com/ash/raku-modules/tree/main/Prompt-Hidden
use JSON::Fast;                             # works after either install
say to-json({ name => 'Ada' }, :!pretty);   # {"name":"Ada"}

It also loads your own module files from lib/ (and -I / RAKULIB / use lib paths), and a use that cannot be found or fails to compile is fatal. How much of the ecosystem runs today: all 2,547 distributions, each with its sweep verdict, are listed at raku.online/modules/ecosystem. Full guide: MODULES.md.

…and the batteries, with nothing installed

use Data::Native is answered by the compiler itself — no file is read, no module is loaded, no dependency is resolved:

use Data::Native;

say to-json({ ok => True });            # JSON
say from-csv("a,b\n1,2\n", :headers);   # CSV
say sha256-hex('abc');                  # digests and HMAC
say uncompress(compress('big'.encode));  # zlib / gzip / raw deflate
say crypt_random_buf(32);               # bytes from the OS CSPRNG

Five tags, thirty-two names, every signature copied from the ecosystem module it stands in for. It is designed to be portable — the companion distribution, which would compose JSON::Fast, Digest::SHA2, Compress::Zlib and Crypt::Random so the same program runs on Rakudo unchanged, is not published yet. Until it is, use Data::Native works on Raku++ and nowhere else. A program using it compiles to a standalone binary, because there is nothing left to find at run time.

Guide: DATA-NATIVE.md.

Code to read and run

Three directories of runnable programs — as much for exploring Raku as for exploring Raku++:

  • examples/ — complete example programs: Mandelbrot, Game of Life, a JSON parser on a Raku grammar, a quine, …
  • showcase/ — mid-size programs: a Scheme interpreter built on a Raku grammar, and a pastebin HTTP server on raw sockets.
  • live/ — real software from the ecosystem, run unmodified: whole tools people already use, driven by Raku++ exactly as their authors wrote them. The other direction — other people's software that reached for this engine — is live/ADOPTIONS.md: a Wolfram paclet, a browser playground offering rakupp as one of four runtimes, a course of Raku koans graded by Raku.js, a Guix channel.

Run Raku in the browser — Raku.js

▶ Try it live: raku.online/play · Learn it interactively: raku.online/tour

Raku.js is the same interpreter compiled to WebAssembly with Emscripten — the exact semantics as native rakupp, running entirely client-side with no server. Putting a real, running Raku editor on any static page is one script tag:

<script src="https://raku.online/raku.js"></script>

<pre data-raku>say "Hello from an embedded editor!";</pre>

Handy for docs, tutorials, or a course — and nothing has to be loaded from raku.online: three files copied into a directory of your own site are a complete install. It also powers a standalone playground, and answers to rakupp_run() if you would rather drive it from your own JavaScript. All three routes are in rakujs/README.md.

Use Raku from Python, JavaScript, Go, Rust, C++, Wolfram Language

Work in progress: committed so it is not lost and re-gated on every push, but not announced yet — the official announcement will come when it settles.

librakupp embeds the interpreter behind a small C ABI, and bindings/ wraps it for six host languages. Each gives you the same two things in its own idiom: run Raku — evaluate source, call Raku routines with your own values, read results back as native types — and parse with Raku grammars, where the grammar stays a .raku file and .made values are computed by Raku actions during the parse. Every language has a guide and two runnable examples in bindings/examples/, kept honest by two smoke gates that re-run everything the guides claim.

Give an AI agent a Raku interpreter — MCP

Work in progress, on the same terms as the bindings above.

rakupp --mcp serves the interpreter over the Model Context Protocol — JSON-RPC on stdio — so MCP clients (Claude Code, Claude Desktop, and their kind) get two tools: raku, one persistent session per conversation, with exact Rat and big-integer arithmetic; and raku-parse, grammars as deterministic text extraction, with line/column/rule diagnosis when a parse fails. Registering it with Claude Code is one line:

claude mcp add raku -- /path/to/rakupp --mcp

— or, where there is no claude CLI (the desktop app alone is enough), a .mcp.json at the project root, read automatically when a session starts:

{
  "mcpServers": {
    "raku": {
      "command": "/absolute/path/to/rakupp",
      "args": ["--mcp"]
    }
  }
}

This repository carries one, pointing at ./build/rakupp: a built checkout serves its own interpreter to the agent working on it.

Guide: MCP.md. Gated by tools/mcp-smoke.raku, which drives the server exactly as a client does, on every push.

Raku in a notebook — Jupyter

rakupp --jupyter-install registers the binary as a Jupyter kernel; after that, jupyter console --kernel raku or picking Raku++ in JupyterLab runs notebook cells through this engine. One interpreter serves the whole notebook, so a sub defined in cell 3 is callable in cell 9; a cell's output streams as it is produced; a cell that dies leaves the session intact; and jupyter-display($html, 'text/html') hands the frontend something to render.

Nothing needs installing on the Raku side — no ZeroMQ, no Python module, no shared library. The binary speaks ZMTP and signs its own messages, because this project links no third-party libraries.

Guide: JUPYTER.md. Gated by tools/jupyter-smoke.raku — a Jupyter client written in Raku, with its own HMAC-SHA256 pinned to the RFC 4231 vectors, so both halves of the protocol have to agree.

Documentation

Start with the presentation (a slide deck — PDF or interactive HTML), HIGHLIGHTS.md (the key features on one page), or GUIDE.md (the full overview). The complete annotated index is docs/README.md; the shape of it:

Talks

Raku++ is being presented at the two forthcoming Perl & Raku conferences — what it is, why it exists, and how it is developed:

When Where Event
Saturday 21 November 2026 The Café at Zoopla, The Cooperage, 5 Copper Row, London SE1 2LH, UK London Perl & Raku Workshop 2026 (proposal 8059)
14–16 April 2027 Stadtteilzentrum Nordstadt Bürgerschule, Klaus-Müller-Kilian-Weg 2, 30167 Hannover, Germany 29. Deutscher Perl/Raku-Workshop 2027 (proposal 8053)

FOSDEM 2027 (Brussels, ULB Solbosch) is on the wish list, but its dates and call for participation are not out yet. The running list, with what the talks cover and the slides, is TALKS.md.

Author

Raku++ is created by Andrew Shitov. Read the announcement: Raku++ — the fastest Raku compiler. More posts about Raku and Raku++: BLOG.md.

What other people write about Raku++ — the newsletters, posts and remarks — is collected in MENTIONS.md; other people's software that reached for the engine is in live/ADOPTIONS.md.

License

Artistic License 2.0 — the same license Raku itself uses.

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Raku++ — a Raku language interpreter, compiler and toolchain written from scratch in C++

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