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Franchise

3
27
+ 1
0
Starboard

2
6
+ 1
0
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Franchise vs Starboard: What are the differences?

Developers describe Franchise as "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. On the other hand, Starboard is detailed as "*Fully in-browser literate notebooks like Jupyter Notebook *". 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.

Franchise and Starboard can be categorized as "Data Science Notebooks" tools.

Franchise is an open source tool with 3.6K GitHub stars and 232 GitHub forks. Here's a link to Franchise's open source repository on GitHub.

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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 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.

Need advice about which tool to choose?Ask the StackShare community!

Jobs that mention Franchise and Starboard as a desired skillset
What tools integrate with Franchise?
What tools integrate with Starboard?
What are some alternatives to Franchise and Starboard?
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
Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and easily share and present the polished assets to end users.
Google Colaboratory
It is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Colab is especially well suited to machine learning, data science, and education.
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.
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