loglabs/mltrace

Coarse-grained lineage and tracing for machine learning pipelines.

48
/ 100
Emerging

When your machine learning models produce unexpected or incorrect results, this tool helps you understand why. It takes your existing ML pipeline (written in Python) and logs details about each step and the data flowing through it. The output is a visual map showing exactly which previous steps led to a particular model result, helping ML engineers and data scientists quickly pinpoint where things went wrong.

471 stars. No commits in the last 6 months. Available on PyPI.

Use this if you need to debug outputs from your machine learning pipelines, understand the sequence of operations that produced a specific result, or track data and component versions.

Not ideal if you need to track individual data records through your pipeline, as it focuses on coarse-grained lineage, or if your pipeline is not primarily Python-based.

MLOps ML debugging data lineage pipeline observability model validation
Stale 6m
Maintenance 0 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 13 / 25

How are scores calculated?

Stars

471

Forks

28

Language

Python

License

Apache-2.0

Last pushed

Nov 11, 2022

Commits (30d)

0

Dependencies

10

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