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.
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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.
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.
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.
