January 2, 2024

LineaPy: The Better Way to Do Pipeline Testing

When one of your production pipelines is broken, causing your data to be missing or inaccurate, this downtime affects everyone in your company. Your data engineers […]
February 21, 2023

Auto-generate data pipelines with LineaPy

When it comes to data science development, a Jupyter Notebook is often the easiest way to go. When the time comes to convert development code into […]
November 14, 2022

Using MLflow with LineaPy

MLflow is a great tool for managing the entire ML lifecycle. We often use MLflow for the following purposes: Compared to MLflow, which focuses on ML […]
November 1, 2022

Build a Simple Application with LineaPy

In this post, we are going to demonstrate how to use LineaPy to build a small app that tells us whether we should refill our gas […]
October 2, 2022

Hosting LineaPy for Better Data Science Collaboration

Getting data science projects from a development notebook to production is full of friction. LineaPy is an open-source solution that streamlines the data science productionization process […]
September 29, 2022

How To Use an Existing Artifact Store

Connecting to and using an existing artifact store in lineapy is easy and allows artifacts to be shared among team members.