Oct 23, 2023 Snowflake has announced its intent to acquire Ponder.
Read more from Ponder here
Feb 17, 2022
Our CEO and co-Founder, Doris Lee, recently spoke at Stanford’s MLSys Seminar. See the recording below! Abstract Visualizations help data scientists discover trends, patterns, identify outliers, and derive insights from their data. However, existing visualization libraries in Python require us...
Feb 15, 2022
Modin reached over 2.5M downloads on PyPI! 2.5M downloads would be an incredible feat for any open-source project, not to mention for a project that started as a small academic project only a few years ago! It has been an incredible journey seeing how Modin continues to help so many data scientists ...
Jan 27, 2022
We’re excited to finally release Modin 0.13! Modin 0.13 contains significant updates including: revamped Modin documentation new 10-min quickstart guide to Modin support for pandas 1.4 improvements to XGBoost integration new benchmarks for groupby enhancement to Modin on OmniSci + many more! T...
Jan 12, 2022
In this short 5 min presentation at CIDR 2022, our co-founder Aditya Parameswaran talks about the key differences between relational databases and pandas. He discusses ongoing work at Ponder in developing enterprise-ready, scalable pandas, and the underlying challenges. If you’re excited ab...
Dec 10, 2021
Our work at Ponder started as research projects in the UC Berkeley RISE Lab, where we developed tools aimed at improving data science productivity. Our open-source projects are the result of many years of research and development in this space. We recently published two research papers in the Procee...
Nov 2, 2021
We are excited to share Modin and Lux with the community at PyData Global 2021! “PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new...
Oct 27, 2021
Modin was featured on Anaconda’s Blog! Here is a highlighted excerpt from the article: What does Modin have to offer you as the end user? It tries to adhere to the idea of “tools should work for the data scientist, not vice versa”. Hence it offers a very simple, drop-in replacement for pan...
Jun 22, 2021
Devin Petersohn presents Modin at Ray Summit 2021. Modin provides a parallel implementation of the pandas DataFrame API on top of scalable execution engines, including Ray and Dask. Modin’s comprehensive support across the pandas API allows data scientists to continue using pandas, but scale u...
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