Lee DogeonandClaude Sonnet 5 44dcd1de2d ci: add pyperformance benchmarking scripts and workflow (#8691)
* Add script to run upstream pyperformance against RustPython

pyperformance can't be installed as-is on RustPython since pyperf hard-depends
on psutil, a C extension RustPython cannot build or load (no CPython C-API /
extension-module support). Since pyperf already disables psutil usage on
interpreters reporting Py_GIL_DISABLED=1 (which RustPython does, having no
GIL), a functionality-free pure-Python psutil stub is enough to satisfy pip's
dependency resolution and unblock any pure-Python benchmark.

scripts/pyperformance/run_all.py drives pyperformance (under a host CPython
venv) with RustPython as the --python target, installs the stub via
PIP_FIND_LINKS + --inherit-environ, and catalogs pass/fail/timeout per
benchmark with an automatic failure classifier (C-extension build blocked vs.
a genuine exception raised by the benchmark itself).

Assisted-by: Claude Code:claude-sonnet-5

* pyperformance: support targeting any Python and comparing catalogs

Generalize run_all.py from a RustPython-only runner to a --python/--label
pair, so the same script can catalog a real CPython (with --no-psutil-stub,
since it has a genuine psutil) alongside RustPython. Each label gets its own
results/<label>/ subdirectory.

Add compare.py, which loads two labels' catalogs and writes a per-benchmark
Markdown table with both targets' status/mean and the candidate/baseline
time ratio, plus the median slowdown across benchmarks both targets passed.

Assisted-by: Claude Code:claude-sonnet-5

* ci: compare base, head and CPython with pyperformance on one runner

A ratio between two pyperformance runs measured on different machines can
move further than the change under review did, so a PR's numbers are only
worth reading when base, head and CPython were measured back to back on the
same runner. This adds a job that does exactly that -- two release builds
kept side by side with the stdlib of their own commit, then three runs with
nothing in between -- and posts the table as a PR comment.

`pr_diff.py` renders the three catalogs `run_all.py` writes: per benchmark
the CPython time, both RustPython times, both ratios against CPython, and
the head/base change, with anything under 3% shown as `~` because a shared
runner is not quiet enough to say more.

The comment is handed to a `workflow_run` companion the same way
`codspeed-comment.yaml` does it, since a `pull_request` run from a fork gets
a read-only token however the workflow is configured.

The job is opt-in behind a `run:pyperformance` label: it runs 28 benchmarks
three times over and costs well over an hour, which most PRs do not need.

`run_all.py` now forwards RUSTPYTHONPATH through pyperf, which a binary
copied away from its checkout needs in order to find the stdlib at all; the
two names go in one comma-separated `--inherit-environ`, because repeating
the flag keeps only the last.

Assisted-by: Claude Code:claude-fable-5-1

* ci: comment from the pyperformance run itself when the PR allows it

The `workflow_run` companion only starts firing once it is on the default
branch, so a pull request that introduces it -- this one -- would upload the
table and never show it. A pull request opened from this repo carries a
token that may write comments, so post it from the run that measured it and
leave the companion to the forks that genuinely cannot.

Both paths upsert on the same marker, so a fork PR that reaches the
companion after this step was skipped still lands one comment.

Assisted-by: Claude Code:claude-fable-5-1

* ci: address zizmor findings and fall back to head vs. CPython

- Pin `actions/github-script` to the commit the rest of the repo pins it to;
  the hash carried over from an in-flight branch pointed elsewhere than the
  `v9.0.0` comment claimed (ref-version-mismatch).
- Read the PR number, the CPython path and version, and the two commit shas
  from `env` rather than expanding them into the shell (template-injection).
- Record the `workflow_run` trigger in `.github/zizmor.yml` next to the
  existing `pull_request_target` entry, with the same justification: the
  workflow reads one artifact and writes a comment, and never checks out or
  runs pull request code (dangerous-triggers).

Building or measuring the base commit is now non-fatal, and `pr_diff.py`
renders head against CPython alone when the base column has nothing in it --
a base that will not build should still leave a usable table rather than
failing the job. The time and ratio columns are also named apart, since
`| base | head | base | head |` gave no clue which pair was which.

Assisted-by: Claude Code:claude-fable-5-1

* ci: derive pyperformance comment target from trusted workflow_run metadata

pr_number.txt came from the artifact a `pull_request` run uploads, which a
fork could tamper with to make this privileged `workflow_run` comment on an
arbitrary PR/issue. Resolve the PR from context.payload.workflow_run instead
(falling back to a commit-associated open PR lookup for workflow_dispatch
runs), and escape any HTML comments already present in diff.md so they can't
be mistaken for the marker.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Wy8J7LpmdYjesTDonNoYkv

* ci: grant actions:read to the pyperformance comment workflow

download-artifact needs actions:read to fetch another run's artifact by
run-id. Specifying a permissions block sets every unlisted scope to none, so
without this the cross-run download silently failed for fork PRs -- the
scenario this workflow exists for -- continue-on-error masked it, and the
comment step found no diff.md and returned without posting.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Wy8J7LpmdYjesTDonNoYkv

* pyperformance: kill the whole process group on a benchmark timeout

subprocess.run's own timeout only terminates the direct pyperformance
process; pyperf re-execs the target interpreter as a child, which can
survive the timeout and keep burning CPU into the next benchmark's
measurement. Run each benchmark in its own session/process group instead,
and on timeout SIGKILL the whole group via os.killpg.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Wy8J7LpmdYjesTDonNoYkv

* pyperformance: compute the head-vs-base cell from head_vs_base directly

The cell was derived from base_vs_cpython and head_vs_cpython, both of which
are None when a benchmark has no CPython time -- so it rendered "-" even
though base and head both had valid times and head_vs_base was already
computed. Use that precomputed ratio instead.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Wy8J7LpmdYjesTDonNoYkv

* pyperformance: invalidate the resumed catalog when the target executable changes

catalog.json records results without any fingerprint of target_python, and
resume skips benchmarks by name alone, so a local rebuild (or swapping the
target) under the same --label could silently reuse stale measurements.
Store a sha256 of the executable's contents alongside the catalog and, when
it no longer matches, ignore the existing catalog and re-run everything.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Wy8J7LpmdYjesTDonNoYkv

* ci: fall back to github.sha for the head checkout on workflow_dispatch

github.event.pull_request.head.sha is empty on a workflow_dispatch run (no
pull_request payload), so `git checkout --quiet "" --` failed with "fatal:
invalid reference" on this non-optional step, aborting every manual run
before it could measure or render results.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Wy8J7LpmdYjesTDonNoYkv

* pyperformance: resolve --out/--cache-dir to absolute paths

Every benchmark subprocess runs with cwd=work_dir (under --cache-dir), so a
relative --out or --cache-dir passed on the command line resolved against
that directory instead of the one run_all.py was invoked from, breaking
catalog output, the pyperformance binary path, and PIP_FIND_LINKS. Both
default to absolute paths already; resolve them up front so a relative
override behaves the same way.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Wy8J7LpmdYjesTDonNoYkv

* pyperformance: persist catalog invalidation before the new fingerprint

The fingerprint file was rewritten before the invalidated catalog was ever
written back to disk. An interruption between the two (e.g. a crash during
the first benchmark of the re-run) left a fingerprint matching the new
executable pointing at a catalog.json still full of results measured
against the old one, so the next run would trust it as fresh. Write the
reset (empty) catalog first, then record the fingerprint.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Wy8J7LpmdYjesTDonNoYkv

* pyperformance: show benchmarks that fail on both base and head

Rows were dropped whenever neither side had a mean, which also hid a
benchmark that failed or timed out identically on base and head -- e.g. a
C-extension gap unrelated to the PR under review. Only skip a benchmark
never attempted on either commit; keep rows with a fail/timeout status so
they still show up in the table.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Wy8J7LpmdYjesTDonNoYkv

* pyperformance: write catalog.json atomically

write_catalog runs after every single benchmark, and Path.write_text
truncates the file before writing the replacement. An interruption
mid-write left catalog.json both missing every earlier result and invalid
JSON, so the next run's resume logic failed outright at json.loads(). Write
to a temporary sibling file and rename it into place instead.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Wy8J7LpmdYjesTDonNoYkv

* pyperformance: fix passed count and median population in the summary table

"Benchmarks passed" counted len(base_ratios)/len(head_ratios), which require
a *CPython* ratio too -- a CPython-only failure hid an otherwise-passing
benchmark from both sides' counts. Count actual "ok" status per side
instead.

The two medians were also computed over independently-filtered
populations: whichever benchmarks had a valid ratio on that side alone. A
benchmark that regressed to failure on only one side dropped out of only
that side's median, which could shift it well beyond what any surviving
benchmark's timing actually changed by. Restrict both medians to
benchmarks with a valid ratio on both sides, and label the population size.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Wy8J7LpmdYjesTDonNoYkv

* pyperformance: include RUSTPYTHONPATH's stdlib in the executable fingerprint

The catalog-invalidation fingerprint hashed only the executable's bytes, but
a RustPython binary copied away from its checkout finds its stdlib through
RUSTPYTHONPATH -- pyperf re-execs the target interpreter into a venv and
forwards that variable so it can still find Lib/. Changing that path, or
editing the files under it, without rebuilding the binary left resume
trusting results measured against a now-different stdlib. Fold its contents
into the fingerprint too.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Wy8J7LpmdYjesTDonNoYkv

* pyperformance: require an explicit ok/fail status for pass/fail transitions

only_head/only_base flagged a benchmark as newly passing or no longer
passing based only on whether the other side had a mean, so a benchmark
never attempted on one side (e.g. a partial --benchmarks run) was reported
as a regression or fix it never was. Require the other side's status to be
an actual fail/timeout, not just missing.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Wy8J7LpmdYjesTDonNoYkv

* pyperformance: don't gate the head/base geometric mean on a CPython ratio

The summary panel -- pass counts and the head/base geometric mean, neither
of which need a CPython comparison -- only rendered when at least one
benchmark also had a valid ratio against CPython on both sides. A build
with a perfectly good head-vs-base comparison but no common CPython result
lost the whole panel, including the one aggregate that didn't depend on
CPython at all.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Wy8J7LpmdYjesTDonNoYkv

* pyperformance: normalize RUSTPYTHONPATH and extract main() into named steps

Fix: a relative RUSTPYTHONPATH was fingerprinted relative to this script's
invocation directory but resolved by pyperf's subprocess relative to
work_dir (its cwd), so a relative value could be hashed against the wrong
directory entirely, or fail to resolve at runtime. Resolve it to an
absolute path up front, alongside --out and --cache-dir.

Refactor: main() had accumulated argparse setup, executable resolution, and
the fingerprint/resume block inline, each wrapped in an explanatory comment
-- a sign the function was doing too much rather than that it needed more
narration. Extracted parse_args(), resolve_target_python(), and
load_resumable_catalog() so main() reads as a short sequence of named
steps and each comment sits next to the one function it actually explains.
No behavior change; verified with unit tests against the extracted
functions (fingerprint reacting to RUSTPYTHONPATH, resume picking up a
prior catalog, invalidation on an executable change).

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Wy8J7LpmdYjesTDonNoYkv

* pyperformance: split pr_diff.py's main() and fix a status-transition gap

Fix: only_head was still gated on have_base, which only asks whether *any*
base benchmark produced a timing -- so a benchmark that flipped from
failing to passing went unreported whenever every other base benchmark
also happened to fail. Status transitions don't need that gate; they
already require an explicit ok/fail/timeout status on both sides.

Refactor: main() had grown into one long function mixing argument parsing,
catalog loading, row computation, and three separate rendering concerns.
Split it into parse_args(), load_base_catalog(), build_rows(),
render_intro(), render_summary_panel(), render_table(), and
find_transitions(), each documenting the one thing it decides. No behavior
change beyond the fix above; re-verified against every scenario exercised
in the last several fixes (dual-fail rows, geo mean without a CPython
ratio, unattempted benchmarks, and the have_base gap) plus the existing
manual smoke tests.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Wy8J7LpmdYjesTDonNoYkv

* pyperformance: don't resolve an empty RUSTPYTHONPATH to the cwd

The normalization only checked "RUSTPYTHONPATH" in os.environ, so a set-but-
empty value (RUSTPYTHONPATH="") resolved to the current directory via
Path("").resolve(). executable_fingerprint() would then recursively hash
every file under wherever run_all.py was invoked from -- including its own
results directory while writing to it -- causing spurious catalog
invalidation and a lot of pointless hashing. Check for a nonempty value
instead, matching the truthiness check already used everywhere else this
variable is read.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Wy8J7LpmdYjesTDonNoYkv

* docs(pyperformance): distinguish the host runner from the benchmarked target

A reviewer read "pyperformance cannot be installed as-is on RustPython" and
reasonably asked why RustPython would need to support pyperformance's CLI at
all, since it's normally run as a command under any Python (see
https://github.com/RustPython/RustPython/pull/8691#discussion_r3997957942).

It doesn't: the pyperformance CLI (the host process) always runs under a
real CPython regardless of --python. What actually needs psutil/pyperf
importable is the *benchmark* subprocess -- pyperf re-execs the --python
target and that subprocess itself does `import pyperf`. Spell out that
host/worker split up front instead of leading with "cannot be installed".

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Wy8J7LpmdYjesTDonNoYkv

---------

Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
2026-09-13 15:30:21 +09:00
2025-07-04 23:47:05 +09:00
2026-07-18 16:48:32 +09:00
2020-07-06 18:25:10 +00:00
2025-07-01 04:40:58 +09:00
2020-09-13 06:58:57 +09:00
2021-03-14 12:50:00 -05:00
2022-08-23 01:50:04 -05:00
2019-03-07 20:00:02 +01:00
2020-03-13 08:04:33 -05:00
2020-03-13 08:04:33 -05:00
2026-05-16 19:01:40 +09:00
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2019-03-22 18:09:05 -05:00
2021-10-02 21:13:14 +09:00
2023-03-10 02:05:52 +09:00
2025-02-26 11:48:22 -08:00
2026-03-16 11:32:27 +09:00

RustPython

A Python-3 (CPython >= 3.14.0) Interpreter written in Rust 🐍 😱 🤘.

Build Status codecov CodSpeed License: MIT Contributors Discord Shield docs.rs Crates.io dependency status Open in Gitpod

Usage

Check out our online demo running on WebAssembly.

RustPython requires Rust latest stable version (e.g 1.67.1 at February 7th 2023). If you don't currently have Rust installed on your system you can do so by following the instructions at rustup.rs.

To check the version of Rust you're currently running, use rustc --version. If you wish to update, rustup update stable will update your Rust installation to the most recent stable release.

To build RustPython locally, first, clone the source code:

git clone https://github.com/RustPython/RustPython

RustPython uses symlinks to manage python libraries in Lib/. If on windows, running the following helps:

git config core.symlinks true

Then you can change into the RustPython directory and run the demo (Note: --release is needed to prevent stack overflow on Windows):

$ cd RustPython
$ cargo run --release -- -c 'print("Hello, RustPython!")'
Hello, RustPython!

Or use the interactive shell:

$ cargo run --release
Welcome to rustpython
>>>>> 2+2
4

NOTE: For windows users, please set RUSTPYTHONPATH environment variable as Lib path in project directory. (e.g. When RustPython directory is C:\RustPython, set RUSTPYTHONPATH as C:\RustPython\Lib)

You can also install and run RustPython with the following:

$ cargo install --git https://github.com/RustPython/RustPython rustpython
$ rustpython
Welcome to the magnificent Rust Python interpreter
>>>>>

venv

Because RustPython currently doesn't provide a well-packaged installation, using venv helps to use pip easier.

$ rustpython -m venv <your_env_name>
$ . <your_env_name>/bin/activate
$ python # now `python` is the alias of the RustPython for the new env

PIP

If you'd like to make https requests, you can enable the ssl feature, which also lets you install the pip package manager. Note that on Windows, you may need to install OpenSSL, or you can enable the ssl-openssl-vendor feature instead, which compiles OpenSSL for you but requires a C compiler, perl, and make. OpenSSL version 3 is expected and tested in CI. Older versions may not work.

Once you've installed rustpython with SSL support, you can install pip by running:

cargo install --git https://github.com/RustPython/RustPython
rustpython --install-pip

You can also install RustPython through the conda package manager, though this isn't officially supported and may be out of date:

conda install rustpython -c conda-forge
rustpython

SSL provider

For HTTPS requests, ssl-rustls-aws-lc is enabled by default for the RustPython binary. Embedders can use rustpython-stdlib's provider-agnostic ssl-rustls feature and install their own rustls crypto provider, or replace rustls with ssl-openssl if their environment requires OpenSSL. Note that to use OpenSSL on Windows, you may need to install OpenSSL, or you can enable the ssl-openssl-vendor feature instead, which compiles OpenSSL for you but requires a C compiler, perl, and make. OpenSSL version 3 is expected and tested in CI. Older versions may not work.

WASI

You can compile RustPython to a standalone WebAssembly WASI module so it can run anywhere.

Build

cargo build --target wasm32-wasip1 --no-default-features --features freeze-stdlib,stdlib --release

Run by wasmer

wasmer run --volume `pwd` -- target/wasm32-wasip1/release/rustpython.wasm `pwd`/extra_tests/snippets/stdlib_random.py

Run by wapm

$ wapm install rustpython
$ wapm run rustpython
>>>>> 2+2
4

Building the WASI file

You can build the WebAssembly WASI file with:

cargo build --release --target wasm32-wasip1 --features="freeze-stdlib"

Note: we use the freeze-stdlib to include the standard library inside the binary. You also have to run once rustup target add wasm32-wasip1.

JIT (Just in time) compiler

RustPython has a very experimental JIT compiler that compile python functions into native code.

Building

By default the JIT compiler isn't enabled, it's enabled with the jit cargo feature.

cargo run --features jit

This requires autoconf, automake, libtool, and clang to be installed.

Using

To compile a function, call __jit__() on it.

def foo():
    a = 5
    return 10 + a

foo.__jit__()  # this will compile foo to native code and subsequent calls will execute that native code
assert foo() == 15

Embedding RustPython into your Rust Applications

Interested in exposing Python scripting in an application written in Rust, perhaps to allow quickly tweaking logic where Rust's compile times would be inhibitive? Then examples/hello_embed.rs and examples/mini_repl.rs may be of some assistance.

Disclaimer

RustPython is in development, and while the interpreter certainly can be used in interesting use cases like running Python in WASM and embedding into a Rust project, do note that RustPython is not totally production-ready.

Contribution is more than welcome! See our contribution section for more information on this.

Conference videos

Checkout those talks on conferences:

Use cases

Although RustPython is a fairly young project, a few people have used it to make cool projects:

  • GreptimeDB: an open-source, cloud-native, distributed time-series database. Using RustPython for embedded scripting.
  • pyckitup: a game engine written in rust.
  • Robot Rumble: an arena-based AI competition platform
  • Ruff: an extremely fast Python linter, written in Rust

Goals

  • Full Python-3 environment entirely in Rust (not CPython bindings)
  • A clean implementation without compatibility hacks

Documentation

Currently along with other areas of the project, documentation is still in an early phase.

You can read the online documentation for the latest release, or the user guide.

You can also generate documentation locally by running:

cargo doc # Including documentation for all dependencies
cargo doc --no-deps --all # Excluding all dependencies

Documentation HTML files can then be found in the target/doc directory or you can append --open to the previous commands to have the documentation open automatically on your default browser.

For a high level overview of the components, see the architecture document.

Contributing

Contributions are welcome and highly appreciated. To get started, check out the contributing guidelines.

You can also join us on Discord.

Compiling to WebAssembly

See this doc

Community

Discord Banner

Chat with us on Discord.

Code of conduct

Our code of conduct can be found here.

Credit

The initial work was based on windelbouwman/rspython and shinglyu/RustPython

These are some useful links to related projects:

License

This project is licensed under the MIT license. Please see the LICENSE file for more details.

The project logo is licensed under the CC-BY-4.0 license. Please see the LICENSE-logo file for more details.

Languages
Rust 87.1%
Python 12.5%
JavaScript 0.2%
NSIS 0.1%