MLXP

What it does

Cluster jobs

It can submit jobs to a cluster using a job scheduler.checked 4 Oct 2026

Code versioning

Its Git based version manager can generate a deployment version of code based on the latest Git commit.checked 9 Oct 2026

Configuration

Logger, version manager, scheduler, and interactive mode settings can be adjusted in an automatically created mlxp.yaml file.checked 9 Oct 2026

Dependencies

Documented requirements include Hydra Core, OmegaConf, TinyDB, PyYAML, pandas, dill, and GitPython.checked 9 Oct 2026

Documentation

The repository links to a quick start guide, a tutorial, and detailed documentation on the project website.checked 4 Oct 2026

Experiment launching

A decorator and Hydra hierarchical configurations let users launch several jobs with different option values.checked 9 Oct 2026

Experiment records

It logs metrics, artifacts, checkpoints, metadata, and configuration options in a uniquely assigned job directory.checked 4 Oct 2026

Installation

The project documents installation with pip from PyPI or by cloning the GitHub repository.checked 9 Oct 2026

Job launching

It can launch several jobs automatically using Hydra and hierarchical configs, with a decorator on the main task function.checked 4 Oct 2026

Lazy loading

The MLXP DataFrame can defer loading metric files and artifacts until their fields are accessed.checked 9 Oct 2026

License

The project says MLXP is distributed under the MIT license.checked 9 Oct 2026

Logging

Runs can log metrics, artifacts, checkpoints, metadata, and configuration options in uniquely assigned directories.checked 9 Oct 2026

Purpose

MLXP is an open-source Python framework for managing experiments from launching and logging through querying results.checked 4 Oct 2026

Result analysis

The Reader supports querying, grouping, and aggregating results across runs.checked 9 Oct 2026

Results

It supports reading, querying, grouping, and aggregating outputs from multiple jobs.checked 4 Oct 2026

Scheduler integrations

The documentation lists SLURM, OAR, TORQUE, SGE, MWM, and LSF as supported job schedulers.checked 9 Oct 2026

What it does

MLXP is an open-source Python framework for managing machine learning experiments from launch and logging through querying results.checked 9 Oct 2026