{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/8"}],"enrichment":{"capability":"whylogs generates statistical profiles of datasets to track data distributions, detect drift, and validate data quality across machine learning pipelines.","skillfed_tags":["data-profiling","ml-monitoring","drift-detection"],"use_cases":["Detect data drift in model input features by comparing profiles across time periods","Validate data quality constraints in a data pipeline before feeding data to models","Perform exploratory data analysis of large datasets by generating summary statistics","Track training-serving skew by profiling training data and comparing to production data","Enable data auditing and governance by logging dataset profiles for compliance"],"what_it_does":"whylogs is a data profiling library that generates statistical summaries (called profiles) of datasets to enable monitoring and validation in machine learning workflows. It depends on protobuf for serialization, requests for HTTP communication, and whylabs-client for integration with WhyLabs services. The core use case is creating profiles from data, then using those profiles to track data distributions over time, detect anomalies, and validate that incoming data meets expected constraints.\n\nThe library supports Python 3.7.1 through 3.11 and is designed for data scientists, ML engineers, and data engineers working on data quality, drift detection, and pipeline monitoring. However, maintenance is dormant\u2014the last release was 619 days ago\u2014so the package receives no active updates, bug fixes, or compatibility maintenance.","worth_installing":"Yes, if you need data profiling and drift detection for a stable ML pipeline and can tolerate dormant maintenance. The low install friction, permissive license, and absence of known vulnerabilities make it safe to adopt. However, the 619-day gap since the last release means no active support for new Python versions, dependency updates, or bug fixes\u2014verify compatibility with your current environment before relying on it for production."},"id":"whylogs","links":{"html":"https://skillfed.io/packages/whylogs","md":"https://skillfed.io/packages/whylogs.md","pypi":"https://pypi.org/project/whylogs/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2024-12-03","license_spdx":null,"license_treatment":"permissive","name":"whylogs","python_support":"supports_current","summary":"Profile and monitor your ML data pipeline end-to-end"},"popularity":{"monthly_downloads":172055,"position":10348,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.6.4"}