Tech riderRev. 21 Sept 2026

MLtraq

Ch 385.6of 40 ML Experiment Tracking Software

1Runs onNot stated by the maker
2CostsNot stated by the maker
3Run comparisonYes
4Artifact trackingYes
5Deployment optionsself hosted
6API and SDK accessYes

4 lines stated Written from the maker's own pages: mltraq.com

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Overview

MLtraq is ranked #38 of 40 in ML experiment tracking software on Specifiction.

Compared on ML experiment tracking software

Free plan: Yesmltraq.com
Run comparison: Yesmltraq.com
Artifact tracking: Yesmltraq.com
Deployment options: self_hostedmltraq.com
API and SDK access: Yesmltraq.com

Facts

Purpose: MLtraq is an open-source Python library for ML and AI developers to design, execute, track, and share experiments.mltraq.com · 8 Oct 2026
Execution: It supports experiment runs with parameter grids, chained steps, parallel execution, and resuming from persisted state.mltraq.com · 8 Oct 2026
Metrics: Experiments can stream metrics and track native Python data types and structures, as well as NumPy, Pandas, and PyArrow objects.mltraq.com · 8 Oct 2026
Collaboration: Users can back up, merge, share, and reload experiments with their computation state.mltraq.com · 8 Oct 2026
Database integrations: The default database is SQLite, and MLtraq can connect to SQL databases supported by SQLAlchemy.mltraq.com · 8 Oct 2026
Interfaces: Experiments can be accessed with Python, Pandas, and SQL from Python scripts, Jupyter notebooks, and dashboards.mltraq.com · 8 Oct 2026
Parallel backends: The documentation names Dask, Ray, Spark, and custom cluster-specific backends as options for computation.mltraq.com · 8 Oct 2026
Storage: The DataStore interface stores objects outside the database and uses the filesystem by default; third-party storage options can be requested through the issue tracker or discussion board.mltraq.com · 8 Oct 2026
Security: MLtraq's DATAPAK format uses a subset of safe Python Pickle opcodes for listed basic and container types.mltraq.com · 8 Oct 2026
License: The project is licensed under the BSD 3-Clause License.mltraq.com · 8 Oct 2026
Requirements: The documented requirements are Python 3.9+, SQLAlchemy 2.0+, Pandas 1.5.3+, and Joblib 1.3.2+.mltraq.com · 8 Oct 2026
Compatibility caveat: The documentation says interfaces may change as MLtraq progresses and recommends pinning an exact version and verifying updates with tests.mltraq.com · 8 Oct 2026