Choose from an open library of data science functions contributed by NStack's community
Import your datasets into a web interface and start running data science functions immediately
From churn prediction to attribution and data exploration, run functions on 1m+ rows of data in seconds
Turn your CSV, JSON, or Excel files into documented datasets which you can share with your team. Transform in the browser with SQL or Python snippets, or explore the data in the browser.
A library of open source data functions, from data exploration and wrangling to predictive and machine learning models, which you can apply to your datasets.
Got coding chops (or work with someone who does)? Deploy custom Python or SQL snippets as reusable serverless functions which you can run and share inside your team.
Use data from purchases, subscriptions, and product usage to score customers and uncover risk factors.
Use marketing and conversion data to statistically assign value to channels using NStack's attribution functions.
Quickly find correlations, similar and statistically significant columns, anomalous rows and more.