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Deepnote

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65
+ 1
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Jupyter

2.4K
1.3K
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Jupyter vs Deepnote: What are the differences?

What is 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.

What is Deepnote? Zero setup collaborative data science notebook in the browser. It is a new kind of data science notebook – Jupyter-compatible with real-time collaboration and zero setup in the browser.

Jupyter and Deepnote can be primarily classified as "Data Science Notebooks" tools.

Jupyter is an open source tool with 7.29K GitHub stars and 3.02K GitHub forks. Here's a link to Jupyter's open source repository on GitHub.

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Pros of Deepnote
Pros of Jupyter
  • 4
    Fully managed notebook
  • 4
    GitHub / Gitlab integration
  • 4
    Real-time collaboration
  • 1
    Cloud-based
  • 1
    Browser based
  • 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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- No public GitHub repository available -

What is 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.

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 are some alternatives to Deepnote 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.
    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.
    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.
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