How is "use case" different from a product category?

A category groups by what kind of product something is — CRM, observability tool. A use case groups by the job you're trying to get done, like "track SaaS spend" or "onboard new hires," which can span several product categories. If you know the outcome you want but not the product type, start here instead of the category tree.

What if my exact use case isn't listed?

Use cases here are the common, recurring ones people search for — genuinely one-off needs won't have a dedicated page. Try the closest listed use case, or fall back to search, which matches on product descriptions rather than a fixed list.

Can one product solve multiple use cases at once?

Yes, and that's flagged explicitly rather than hidden — a listing under one use case will note when a product also covers an adjacent one, since a single tool that covers two needs is often the better call than two narrow ones.

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Data Science Notebooks

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RD-Agent

by Microsoft

RD-Agent automates research and development processes using AI and data-driven methodologies.

Data Science NotebooksOpen Source AI & Machine LearningOpen Source

Data Science For Beginners

by Microsoft

10 Weeks, 20 Lessons, Data Science for All!

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Fastquant

by Lorenzo Ampil

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

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repo2docker

by Jupyterhub

Turn repositories into Jupyter-enabled Docker images

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JupyterLite

by JupyterLite

Wasm powered Jupyter running in the browser 💡

Data Science NotebooksOpen Source AI & Machine LearningOpen Source

Tidyverse

by Tidyverse

Easily install and load packages from the tidyverse

Data Science NotebooksOpen Source AI & Machine LearningOpen Source

Chartify

by Spotify

Python library that makes it easy for data scientists to create charts.

Data Science NotebooksOpen Source AI & Machine LearningOpen Source

Hopsworks

by Hopsworks

The AI Lakehouse for Real-Time ML

Feature StoresData Science NotebooksOpen Source

Skforecast

by skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

Data Science NotebooksOpen Source AI & Machine LearningOpen Source

DataFrame

by Kotlin

Kotlin DataFrame: typesafe in-memory structured data processing for JVM

Data Science NotebooksOpen Source AI & Machine LearningOpen Source

PyCM

by Sepand Haghighi

Multi-class confusion matrix library in Python

Data Science NotebooksOpen Source AI & Machine LearningOpen Source

PM4Py

by PIS — Process Intelligence Solutions GmbH

Process mining for Python

Data Science NotebooksOpen Source AI & Machine LearningOpen Source

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Frequently asked questions

How is "use case" different from a product category?

What if my exact use case isn't listed?

Can one product solve multiple use cases at once?