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Franchise

3
24
+ 1
0
Polynote

2
3
+ 1
0
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Polynote vs Franchise: What are the differences?

Polynote: The polyglot notebook with first-class Scala support. It is a different kind of notebook. It supports mixing multiple languages in one notebook, and sharing data between them seamlessly. It encourages reproducible notebooks with its immutable data model; Franchise: An Open-Source SQL Notebook. Chart with a single click. Compare queries side by side. Download your work and share it with anyone. If your data is in a CSV, JSON, or XLSX file, loading it is as simple as dropping the file into Franchise.

Polynote and Franchise can be primarily classified as "Data Science Notebooks" tools.

Polynote and Franchise are both open source tools. Polynote with 3.94K GitHub stars and 321 forks on GitHub appears to be more popular than Franchise with 3.6K GitHub stars and 231 GitHub forks.

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What is Franchise?

Chart with a single click. Compare queries side by side. Download your work and share it with anyone. If your data is in a CSV, JSON, or XLSX file, loading it is as simple as dropping the file into Franchise.

What is Polynote?

It is a different kind of notebook. It supports mixing multiple languages in one notebook, and sharing data between them seamlessly. It encourages reproducible notebooks with its immutable data model.

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What tools integrate with Franchise?
What tools integrate with Polynote?
What are some alternatives to Franchise and Polynote?
Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
Apache Zeppelin
A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.
Deepnote
It is a new kind of data science notebook – Jupyter-compatible with real-time collaboration and zero setup in the browser.
SageMath
It is a free open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more.
Starboard
It is fully in-browser literate notebooks like Jupyter Notebook. It's probably the quickest way to visualize some data with interactivity, do some prototyping, or build a rudimentary dashboard.
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