Mars provides tensor-based tools for large-scale computation with NumPy, Pandas, and scikit-learn.
Jupyter Notebook vs NumPy
How do Jupyter Notebook and NumPy compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Jupyter Notebook | NumPy |
|---|---|---|
| What it is | Jupyter Notebook combines live code, equations, explanatory text, visualizations, and interactive computing in a web platform. | NumPy provides n-dimensional arrays and numerical computing tools for Python. |
| Website | ||
| Type | Website | Website |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Web |
| Open source | Not stated | Not stated |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Jupyter Notebook and NumPy.
Jupyter Widgets provides interactive Python objects for notebook interfaces, including controls such as sliders and text boxes.
spaCy provides Python natural language processing tools for entity recognition, tagging, parsing, and word vectors.
Vaex provides out-of-core DataFrames for Python to explore and visualize large tabular datasets, with support for machine learning workflows.
Python developers can use Zipline’s event-driven library to backtest algorithmic trading strategies.
Jupytext lets users represent Jupyter notebooks as Markdown documents or Julia, Python, and R scripts.






