Software Alternatives & Reviews

Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Jupyter Alternatives

The best Jupyter alternatives based on verified products, community votes, reviews and other factors.
Latest update:

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    Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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    Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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    A fully managed data warehouse for large-scale data analytics.

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    Distributed SQL Query Engine for Big Data (by Facebook)

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    Custom analytics platform

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    Concurrent is a technology solution providing real-time computing solutions for businesses and individuals.

  7. 75

    As the world’s leader in enterprise cloud data management, we’re prepared to help you intelligently lead—in any sector, category or niche.

  8. 78

    Discover how HP performance, stress, and load testing software LoadRunner can prevent costly...

  9. 76

    Umeng provides mobile app analytics solutions for mobile development teams and individual developers.

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    Interactive tool for large-scale data exploration, analysis, and visualization.

  11. 81

    Minitab helps businesses increase efficiency and improve quality through smart data analysis.

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    BI & Analytics for Gaming

  13. 55

    OpenText Analytics provides software and services to develop and deploy custom business intelligence and information applications.

Jupyter Reviews

External sources with reviews and comparisons of Jupyter

15 data science tools to consider using in 2021
Jupyter Notebook's roots are in the programming language Python -- it originally was part of the IPython interactive toolkit open source project before being split off in 2014. The loose combination of Julia, Python and R gave Jupyter its name; along with supporting those three languages, Jupyter has modular kernels for...
Top 4 Python and Data Science IDEs for 2021 and Beyond
Yep — it’s the most popular IDE among data scientists. Jupyter Notebooks made interactivity a thing, and Jupyter Lab took the user experience to the next level. It’s a minimalistic IDE that does the essentials out of the box and provides options and hacks for more advanced use.
The Best ML Notebooks And Infrastructure Tools For Data Scientists
Jupyter Notebook is an open-source platform that supports more than 40 programming languages, including R and Python. ipynb, the default format for Jupyter files, is a JSON file and can be easily version controlled and shared using email, Dropbox, Github, and Jupyter Notebook Viewer. Jupyter Notebook supports big data...
Top 5 Python IDEs For Data Science
1071070Related postsmust readpython+2Jupyter Notebook Tutorial: The Definitive GuideKarlijn WillemsJanuary 9th, 2019machine learning+2Deep Learning With Jupyter Notebooks In The CloudDan BeckerMarch 23rd, 2017learning data science+2AWS EC2 Tutorial For BeginnersMichael GalarnykDecember 6th, 2017Post a CommentSubscribe to...
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Categories: Data Science And Machine Learning, Data Science Tools, Data Science Notebooks, Data Science IDE, Data Analysis