pyats.async
pyATS Async: Asynchronous Execution of Codes
Decision gist · record as of 2026-08-14
Yes, if you are already using pyATS or building test suites that need concurrent execution. The package is actively maintained, has no known vulnerabilities, and offers a simpler abstraction over multiprocessing. Install friction is moderate due to platform-specific wheels and Python version requirements, but these are standard for compiled packages. Not relevant if you are not using pyATS or do not need asynchronous test execution.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later; Linux or macOS only (Windows not supported per documentation).
- Active maintenance with a release 7 days ago.
- Medium install friction due to platform-specific wheels; supports Python 3.10–3.14 on macOS and Linux but requires a compatible Python version and the pyats.log runtime dependency.
License · maintenance · safety
Apache 2.0 (permissive) — Apache 2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-08-07 (7 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 295,683 downloads/mo, #7,918 on PyPI
Alternatives
Verify before relying
pip install pyats.async
from pyats.async import pcall
# Execute a function asynchronously
result = pcall(some_function, args=(arg1, arg2))- Exact API surface and available functions beyond pcall wrapper mentioned in keywords.
- Performance characteristics and scalability limits for concurrent execution.
- Integration patterns with the broader pyATS ecosystem beyond the pyats.log dependency.
What it is and what it does
pyats.async is a sub-component of the pyATS testing framework that simplifies asynchronous execution by wrapping Python's multiprocessing module. It allows developers to run arbitrary functions concurrently without managing the complexity of multiprocessing directly, making it easier to scale test cases from simple linear scripts to large, complex asynchronous test suites. The package is part of Cisco's pyATS ecosystem, an end-to-end testing platform designed for data-driven, reusable testing in Agile environments.
The package depends only on pyats.log at runtime and is actively maintained, with recent releases supporting modern Python versions (3.10 through 3.14). It is distributed as platform-specific wheels for macOS and Linux systems; Windows is not currently supported. Installation is straightforward via pip, either as part of the full pyats suite or as a standalone upgrade.
Use it for
- Run multiple test functions in parallel to reduce overall test execution time in large test suites.
- Execute independent test cases concurrently without manually managing multiprocessing pools or process lifecycle.
- Scale from simple sequential tests to complex asynchronous workflows within the pyATS framework.
- Integrate asynchronous execution into Agile testing pipelines that require rapid iteration and data-driven test design.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using pyATS or building test suites that need concurrent execution.
The package is actively maintained, has no known vulnerabilities, and offers a simpler abstraction over multiprocessing. Install friction is moderate due to platform-specific wheels and Python version requirements, but these are standard for compiled packages. Not relevant if you are not using pyATS or do not need asynchronous test execution.
Install
pyats-async on PyPI
Before you install
Active maintenance with a release 7 days ago. Medium install friction due to platform-specific wheels; supports Python 3.10–3.14 on macOS and Linux but requires a compatible Python version and the pyats.log runtime dependency.
Requires Python 3.8 or later; Linux or macOS only (Windows not supported per documentation).
License in practice
Apache 2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install pyats.async
from pyats.async import pcall
# Execute a function asynchronously
result = pcall(some_function, args=(arg1, arg2))Verify before relying
- Exact API surface and available functions beyond pcall wrapper mentioned in keywords.
- Performance characteristics and scalability limits for concurrent execution.
- Integration patterns with the broader pyATS ecosystem beyond the pyats.log dependency.
Package facts
| License | Apache 2.0 permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 1 packagepyats.log |
| Maintenance | Actively maintained 7 days since the last release |
| First released | |
| Downloads | 295,683 / month, #7,918 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableDevelopment Status :: 6 - MatureEnvironment :: ConsoleIntended Audience :: DevelopersIntended Audience :: Information TechnologyIntended Audience :: System AdministratorsIntended Audience :: Telecommunications IndustryLicense :: OSI Approved :: Apache Software LicenseOperating System :: MacOSOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonTopic :: Software Development :: Build ToolsTopic :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Python ModulesTopic :: Software Development :: Testing |
Evidence: pyats_async-26.7-cp310-cp310-macosx_11_0_universal2.whl; pyats_async-26.7-cp310-cp310-manylinux2014_aarch64.whl; pyats_async-26.7-cp310-cp310-manylinux2014_x86_64.whl; pyats_async-26.7-cp311-cp311-macosx_11_0_universal2.whl; pyats_async-26.7-cp311-cp311-manylinux2014_aarch64.whl; pyats_async-26.7-cp311-cp311-manylinux2014_x86_64.whl; pyats_async-26.7-cp312-cp312-macosx_11_0_universal2.whl; pyats_async-26.7-cp312-cp312-manylinux2014_aarch64.whl; pyats_async-26.7-cp312-cp312-manylinux2014_x86_64.whl; pyats_async-26.7-cp312-cp312-musllinux_1_2_x86_64.whl; pyats_async-26.7-cp313-cp313-macosx_11_0_universal2.whl; pyats_async-26.7-cp313-cp313-manylinux2014_aarch64.whl; pyats_async-26.7-cp313-cp313-manylinux2014_x86_64.whl; pyats_async-26.7-cp314-cp314-macosx_11_0_universal2.whl; pyats_async-26.7-cp314-cp314-manylinux2014_aarch64.whl; pyats_async-26.7-cp314-cp314-manylinux2014_x86_64.whl
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See also pyats.aetest · pyats.tcl · pyats.reporter · pyats.easypy · pyats.results · pyats.log · pyats.utils · pyats · pyats.robot · pyats.aereport