Scalable Data Science at Your Fingertips

Trouble scaling Pandas, the most popular data science/AI library? Try Ponder, which helps you run Pandas at scale directly in your data warehouse—be it Snowflake, BigQuery or Redshift—all from the comfort of your favorite IDE or notebook.

The most popular tool for data science/AI, now scalable

Ponder’s mission is to make data teams more productive by empowering them to get insights faster with tools they already know and love, like Pandas, the bread and butter of data science.

Clean data at scale,
with zero effort

Run your Pandas workflows at all scales, from megabytes to terabytes, without changing a single line of code. No more painful out-of-memory errors and slow single-threaded execution.

df.merge()

df.pivot()

df.fillna()

df.describe()

df.explode()

df.merge()

df.pivot()

df.fillna()

df.describe()

df.explode()

# import pandas as pd

import modin.pandas as pd

Time

Data science, now with scale, security, and governance built-in

Iterate on your Pandas workflows quickly, from prototype to deployment, all running securely within your cloud-native data warehouse. Turbocharge your productivity and speed up development cycles with lightning-fast, interactive results.

Get insight faster with Ponder. Speeding up Pandas API, including groupby, mean, and hundreds of other functions!

Run Pandas everywhere

Leverage Pandas as-is on your existing data infrastructure, without introducing new requirements and dependencies.

From the team that brought you popular open-source library Modin

Ponder's open-source library, Modin (5M+ downloads) enables data scientists to run pandas at scale on distributed computing backends, such as Ray or Dask.

Embraced by the Community

Ponder was founded by the creators of the popular open-source library Modin, which has seen adoption across sectors, including by the world's leading AI companies.

download png

5M+

Downloads to date

mail

40+

Used by companies & organizations

twitter

100+

Open Source Contributors

github png

8k+

Github stars

Powering data teams at the Fortune 100 and more!