Registry / devops / pyston-autoload

pyston-autoload

library2.3.5pypypiunverified

Pyston-Autoload automatically detects and enables the Pyston JIT compiler when imported, aiming to provide performance improvements for Python applications. It acts as a bootstrap mechanism for the Pyston runtime. The current version is 2.3.5, and it generally follows the release cadence of the underlying Pyston project.

devops

pip install pyston-autoload

package ↗

INSTALL

IMPORT

SIG · PYSTON-AUTOLOAD

pyston-autoload

devopspythonv2.3.5

Install

1.8s avg

Import

—

Disk

23MB

Pass rate

2/ 10

Env Coverage2 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v2.3.5 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

glibc

py 3.10

✕ build_error

✓ 1.74s

py 3.11

✕ build_error

py 3.12

✕ build_error

py 3.13

✕ build_error

py 3.9

✕ build_error

✓ 1.8s

23MB installed

● package 23MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

pyston_autoload

✓ import pyston_autoload

This quickstart demonstrates the core usage of `pyston-autoload`: a simple import at the beginning of your script. This import will automatically enable the Pyston JIT if a compatible Pyston runtime is found in the environment. If Pyston is not detected, the import will succeed, but the JIT will not be active.

import pyston_autoload import sys print(f"Pyston Autoload imported. This enables the Pyston JIT if the Pyston runtime is detected.") print(f"Current Python version: {sys.version}") # Run some typical Python code. If Pyston is active, it may run faster. def fib(n): if n <= 1: return n else: return fib(n-1) + fib(n-2) print(f"Calculating fib(10): {fib(10)}")

Debug

Known issues

gotchaPyston-Autoload only *enables* an existing Pyston runtime; it does not install Pyston itself. Pyston often requires platform-specific installation methods (e.g., .deb packages, portable archives, or conda environments) which need to be set up independently.

fix

Ensure Pyston (or Pyston-Lite) is correctly installed for your system architecture and distribution *before* installing and importing `pyston-autoload`.

affects: All versions

gotchaA distinction exists between `pyston-autoload` and `pyston_lite_autoload`. `pyston-autoload` is for the full Pyston distribution, while `pyston_lite_autoload` (introduced in v2.3.4) is for `pyston_lite`, which is distributed as a Python extension module via PyPI.

fix

Choose the correct autoload package based on your Pyston installation strategy: `pyston-autoload` for full Pyston, `pyston_lite_autoload` if you're installing `pyston_lite` via `pip install pyston_lite_autoload`.

affects: >=2.3.4

gotchaTo ensure Pyston's JIT is active for the entire application, `import pyston_autoload` should be one of the very first statements in your main application script.

fix

Place `import pyston_autoload` at the top of your primary Python script or module that runs your application.

affects: All versions

breakingSupport for Ubuntu 16.04 was removed due to dependencies removing support. This means portable releases are now based on Ubuntu 18.04.

fix

Upgrade your operating system to Ubuntu 18.04 or newer, or use a portable Pyston release based on a supported OS version.

affects: >=2.3.2

gotchaPyston is distributed with architecture-specific packages (e.g., `amd64` for Intel/AMD x86_64, `arm64` for aarch64 ARM CPUs). Ensure the underlying Pyston runtime matches your system's architecture.

fix

When installing the Pyston runtime, download the package corresponding to your CPU architecture (e.g., `amd64` or `arm64`). This is particularly important for the full Pyston distribution.

affects: All versions

Upgrade

Version history

2.3.5latest on PyPI · released Sep 26, 2022

Audit

Dependencies

No dependency data recorded yet.

Agent activity

4 hits · last 30 days

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Resources

packagehttps://pypi.org/project/pyston-autoload/ ↗