Enterprise-Ready Pandas

Scalability challenges slowing down your work? Operate on data at any scale, while continuing to use the Pandas API. Powered by open-source Modin.

The most popular tool for data science, now scalable

Ponder’s mission is to make data teams more productive. We empower data practitioners to get insights faster with tools they already know and love.

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

Get insights faster

Iterate on your Pandas workflows quickly, from prototype to deployment. 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!

Accelerate discovery with automatic visualizations

Explore and visualize your Pandas dataframes with no extra effort. Unlock valuable insights with rich, auto-generated visualizations powered by open-source Lux.

Accelerate your data exploration with Lux. Automatically visualize your pandas dataframe by toggling between the Pandas table view and automatic visualizations from Lux.

Run Pandas everywhere

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

Embraced by the Community

Ponder is founded by the creators of popular open-source libraries Modin and Lux, with growing adoption across sectors, including the world's leading AI companies.

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Powering data teams at 10% of the Fortune 100 companies and more!