Scaling up your pandas workflows with Modin

pandas is one of the most commonly used data science libraries in Python, with a convenient set of APIs to help data scientists prepare, analyze, and explore their data. However, despite its widespread adoption, pandas suffers from severe memory and performance issues on moderately large datasets. We present Modin, a fast, scalable drop-in replacement for pandas. By changing just a single line of code, Modin seamlessly speeds up pandas workflow on a laptop or in a cluster. Modin has over 6.6k GitHub stars, 1.7 million downloads, and is deployed at many data-centric organizations to accelerate dataframe workflows. For more details, see: https://github.com/modin-project/modin