msbench-utils
Common MSBench utilities
Decision gist · record as of 2026-08-14
Yes, if you are actively using MSBench and need its companion utilities. The zero-dependency design and permissive MIT license make it low-risk to add. However, the aging maintenance status and lack of visible documentation mean you should verify that the utilities it provides match your specific benchmarking needs before committing to it.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.7 or later; runs on POSIX Linux systems only.
- Low install friction with no runtime dependencies.
- Package shows aging maintenance status, so expect minimal active development or bug fixes.
License · maintenance · safety
permissive license (permissive) — MIT license permits commercial and private use with minimal restrictions, making it safe to adopt in most projects.
last release 2025-05-12 (459 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 114,357 downloads/mo, #12,301 on PyPI
Alternatives
Verify before relying
pip install msbench-utils
import msbench_utils- What specific utilities or functions does msbench-utils provide—documentation or API details are not available in the fact sheet.
- Whether the package is actively maintained or if the aging status reflects intentional stability rather than abandonment.
- Whether MSBench itself is a widely-used benchmarking framework or a specialized internal tool.
- Actual download volume and adoption patterns beyond the top-15000 ranking.
What it is and what it does
msbench-utils is a lightweight utility library for MSBench benchmarking workflows. It provides helper functions and tools to support benchmarking tasks, with zero external runtime dependencies, making it straightforward to integrate into existing projects. The package requires Python 3.7 or later and runs on Linux systems.
The package is in aging maintenance status, so it is likely stable but not actively developed. It carries an MIT license, making it permissible for most use cases. With moderate adoption in the top tier of PyPI packages, it has some user base, though the specific utilities it provides are not detailed in available documentation.
Use it for
- Integrate benchmarking utilities into MSBench workflows without adding external dependencies.
- Support performance testing pipelines that rely on MSBench as their benchmarking framework.
- Access helper functions for common benchmarking tasks within a larger testing or evaluation suite.
- Add MSBench integration to projects running on Linux with Python 3.7 or later.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are actively using MSBench and need its companion utilities.
The zero-dependency design and permissive MIT license make it low-risk to add. However, the aging maintenance status and lack of visible documentation mean you should verify that the utilities it provides match your specific benchmarking needs before committing to it.
Install
msbench-utils on PyPI
Before you install
Low install friction with no runtime dependencies. Package shows aging maintenance status, so expect minimal active development or bug fixes.
Requires Python 3.7 or later; runs on POSIX Linux systems only.
License in practice
MIT license permits commercial and private use with minimal restrictions, making it safe to adopt in most projects.
Quickstart
pip install msbench-utils
import msbench_utils
Verify before relying
- What specific utilities or functions does msbench-utils provide—documentation or API details are not available in the fact sheet.
- Whether the package is actively maintained or if the aging status reflects intentional stability rather than abandonment.
- Whether MSBench itself is a widely-used benchmarking framework or a specialized internal tool.
- Actual download volume and adoption patterns beyond the top-15000 ranking.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Aging 459 days since the last release |
| First released | |
| Downloads | 114,357 / month, #12,301 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3 |
Evidence: msbench_utils-0.0.2-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “msbench utilities”
- msbench-utilsProvides utility functions and helpers for MSBench benchmarking…
- matrice-inferenceProvides common server utilities for Matrice.ai services, compiled…
- earthkit-utilsProvides shared utilities and helper functions for the earthkit…
Give your agent the search over MCP, or paste the wish link into any chat.
More Testing packages
Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.
Install it if you're building an extensible application or framework.
pytest is a testing framework that lets you write test functions using plain assert statements and automatically discovers and runs them, with detailed failure reporting.
virtualenv creates isolated Python environments where packages can be installed independently without affecting the system Python or other projects.
Coverage.py measures which lines of Python code are executed during test runs, reporting coverage percentages and identifying untested code paths.
Install it if you want to measure test completeness or enforce coverage thresholds in your project.
pytest-asyncio is a pytest plugin that enables writing and running async test functions using the asyncio library, allowing developers to await code directly within test cases.
Install it if you write tests for any asyncio-based code.
A pytest plugin that generates test reports in Common Test Report Format (CTRF) as JSON, compatible with pytest-xdist and pytest-playwright for distributed and browser-based testing.
Install it if you need CTRF-formatted test output for CI/CD integration or cross-tool reporting.
See also dacktool · SQLAlchemy-Utils · torch-einops-utils · google-benchmark · etils · pytest-benchmark · codeflash-benchmark · asv-runner · bpyutils · viv-utils