mlcflow

library1.2.1pypypiunverified

MLCflow is an automation interface for CPU/GPU benchmarking, providing a unified Python API to run, manage, and compare benchmark experiments. It supports hardware detection, resource monitoring, and result aggregation. The current PyPI version is 1.2.1, with a release cadence of approximately monthly.

devops data observability

pip install mlcflow

github ↗package ↗homepage ↗docs ↗

INSTALL

IMPORT

SIG · MLCFLOW

mlcflow

devopspythonv1.2.1

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

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

MLCBench

✓ from mlc import MLCBench

✗ from mlcflow import MLCBench

Create a simple CPU benchmark, run it, and print summary.

from mlcflow import MLCBench bench = MLCBench() config = bench.create_config('cpu', 'simple', extra='--iterations 10') results = bench.run(config) print(results.summary())

mlcflow --version

Debug

Known issues

gotchaThe `run()` method returns a list of result dicts, not a single dict. Iterate over the list or use `results[0]` if only one config.

fix

Access results via indexing: `results[0]['metric']`.

affects: >=1.0.0

deprecatedThe `BenchmarkConfig` parameter `iterations` is deprecated since v1.1.0; use `extra='--iterations N'` instead.

fix

Pass iterations via `extra` parameter: `bench.create_config('cpu', 'simple', extra='--iterations 10')`.

affects: >=1.1.0

gotchaWhen changing hardware (e.g., GPU type), you must create a new `MLCBench` instance; reusing the same instance may cache old hardware info.

fix

Create a fresh `MLCBench()` for each hardware configuration.

affects: >=1.0.0

Upgrade

Version history

1.2.1latest on PyPI · released Apr 16, 2026

Audit

Dependencies

psutilrequiredSystem resource monitoring

pandasrequiredResult data handling

Agent activity

25 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/mlcommons/mlcflow ↗

packagehttps://pypi.org/project/mlcflow/ ↗

homepagehttps://mlcflow.dev ↗

docshttps://docs.mlcommons.org/mlcflow ↗