Profile and monitor your ML data pipeline end-to-end
whylogs is an open source library for logging any kind of data. With whylogs, users are able to generate summaries of their datasets (called whylogs profiles) which they can use to:
These three functionalities enable a variety of use cases for data scientists, machine learning engineers, and data engineers:
Install whylogs using the pip package manager in a terminal by running:
pip install whylogs
Then you can log data in python as simply as this:
import whylogs as why
import pandas as pd
df = pd.read_csv("path/to/file.csv")
results = why.log(df)
And voilĂ , you now have a whylogs profile. To learn more about what a whylogs profile is and what you can do with it, check out our docs and our examples.