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Franchise

3
27
+ 1
0
Jupyter

2.4K
1.3K
+ 1
57
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Franchise vs Jupyter: What are the differences?

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; Jupyter: Multi-language interactive computing environments. The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.

Franchise and Jupyter belong to "Data Science Notebooks" category of the tech stack.

Franchise and Jupyter are both open source tools. It seems that Jupyter with 5.99K GitHub stars and 2.54K forks on GitHub has more adoption than Franchise with 3.46K GitHub stars and 218 GitHub forks.

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Pros of Franchise
Pros of Jupyter
    Be the first to leave a pro
    • 19
      In-line code execution using blocks
    • 11
      In-line graphing support
    • 8
      Can be themed
    • 7
      Multiple kernel support
    • 3
      LaTex Support
    • 3
      Best web-browser IDE for Python
    • 3
      Export to python code
    • 2
      HTML export capability
    • 1
      Multi-user with Kubernetes

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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 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.

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    What companies use Jupyter?
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      What tools integrate with Franchise?
      What tools integrate with Jupyter?

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      What are some alternatives to Franchise and Jupyter?
      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.
      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.
      See all alternatives