whylogs
An open-source data logging library for machine learning models and data pipelines
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
45views this month
Decision brief
whylogs is an open-source data logging library that focuses on providing visibility into data quality and model performance over time, with a strong emphasis on privacy-preserving data collection.
Good fit when
- When you need to track changes in datasets and generate summaries for data constraints and key statistics.
- For detecting data drift in model input features and validating data quality in data pipelines.
Avoid when
- If your project does not require detailed data quality and model performance tracking over time.
- When privacy-preserving data collection is not a concern or requirement.
Observed Sep 18, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (2,833) are secondary evidence.
- Docker Hub pulls (30d)
- 11,541·Docker Hub API·Sep 18, 2026
Maintenance and security
Full trust report- Maintenance
- Dormant (615d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/whylabs/whylogsSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides visibility into data quality and model performance over time, supports privacy-preserving data collection
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 18, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 18, 2026
- Languages
- jupyter notebook
Source: github.language · Sep 18, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
<a href="https://github.com/whylabs/whylogs#python-quickstart"><b>Python Quickstart</b></a> •Source link
Tags
README
<img src="https://static.scarf.sh/a.png?x pxid=bc3c57b0 9a65 49fe b8ea f711c4d35b82" / <p align="center" <img src="https://i.imgur.com/nv33goV.png" width="35%"/ </br <h1 align="center" The open standard for data logging </h1 <h3 align="center" <a href="https://whylogs.readthedocs...
For agents
This page has a .md twin and JSON over the API.