No. 32 of 40 ·ML Experiment Tracking Software

MLtraq

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Freedom report

No signalScore 5.1

Free tierNo free tier on record
Open codeNo open-source code on record
Runs widely0 of 6 device platforms
DocumentedThinly documented

MLtraq is ranked #32 of 40 in ML experiment tracking software on Freedom251.

Compared on ML experiment tracking software

Free plan: Yes
Run comparison: Yes
Artifact tracking: Yes
Deployment options: self_hosted
API and SDK access: Yes

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The record

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

Where it ranks on Freedom251

Best ML Experiment Tracking Software in 2026#32 of 40

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Sources

mltraq.com· checked 8 Oct 2026
mltraq.com/advanced/datastore/· checked 8 Oct 2026
mltraq.com/advanced/storage/· checked 8 Oct 2026