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Google Open Source VS Jupyter

Compare Google Open Source VS Jupyter and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Google Open Source logo Google Open Source

All of Googles open source projects under a single umbrella

Jupyter logo 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.
  • Google Open Source Landing page
    Landing page //
    2023-09-22
  • Jupyter Landing page
    Landing page //
    2023-06-22

Google Open Source videos

No Google Open Source videos yet. You could help us improve this page by suggesting one.

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Jupyter videos

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What is Jupyter Notebook?

More videos:

  • Tutorial - Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
  • Review - JupyterLab: The Next Generation Jupyter Web Interface

Category Popularity

0-100% (relative to Google Open Source and Jupyter)

Google Open Source

Jupyter

Developer Tools
100 100%
Developer Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Open Source
100 100%
Open Source
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Open Source and Jupyter

Google Open Source Reviews

We have no reviews of Google Open Source yet.
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Jupyter Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).
Source: lakefs.io
7 best Colab alternatives in 2023
JupyterLab is the next-generation user interface for Project Jupyter. Like Colab, it's an interactive development environment for working with notebooks, code, and data. However, JupyterLab offers more flexibility as it can be self-hosted, enabling users to use their own hardware resources. It also supports extensions for integrating other services, making it a highly...
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Jupyter Notebook is a widely popular tool for data scientists to work on data science projects. This article reviews the top 12 alternatives to Jupyter Notebook that offer additional features and capabilities.
Source: noteable.io
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 dozens of others.
Source: searchbusinessanalytics.techtarget.com
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.
Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, Jupyter seems to be a lot more popular than Google Open Source. While we know about 206 links to Jupyter, we've tracked only 7 mentions of Google Open Source. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Open Source mentions (7)

  • OpenAI no longer Open. "We were wrong [...] I fully expect that in a few years it’s going to be completely obvious to everyone that open-sourcing AI is just not wise."
    Open AI's work is based off of Google's research paper. Google believes in open source! https://opensource.google/ Google will save us. Google will make their AI open source. Their motto is "Don't be evil"! ... But I'm still waiting for their source code of YouTube, Gmail, drive, maps, docs, sheets, forms, search, ads, translate, sites, etc. Source: about 1 year ago
  • "My Reaction to Dr. Stroustrup’s Recent Memory Safety Comments"
    It's not on google github/their open source git host(for comparison, the canonical go repo is), their readme makes no mention of google, wikipedia says "The language is expected to have a 1.0 release in 2024 or 2025.[4]",. Source: over 1 year ago
  • Questions about the controller
    Google would have to open source the controller firmware for people to find a way to make Bluetooth work, but there are no discontinued Google products on opensource.google at all. Source: over 1 year ago
  • controller software open source?
    Https://opensource.google/ is not listing any dead Google products my dude. Source: over 1 year ago
  • There are no open issues or pull requests on Flask
    And side note, don't bring up both MS and Google when both are well known to make use of FOSS. Google has an entire page about how they both make use of and release OSS. Source: almost 2 years ago
View more

Jupyter mentions (206)

  • Interactive Visualizations of Rate-Limiting Algorithms
    Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / about 19 hours ago
  • scrape-yahoo-finance
    JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 22 days ago
  • Let’s build AI-tools with the help of AI and Typescript!
    Jupyter Lab web-based interactive development environment. - Source: dev.to / about 1 month ago
  • Scrape Redfin Property Data
    Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 28 days ago
  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 2 months ago
View more

What are some alternatives?

When comparing Google Open Source and Jupyter, you can also consider the following products

Disney Open Source - Explore Disney's Open Source projects

Looker - 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.

LaunchKit - Open Source - A popular suite of developer tools, now 100% open source.

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

Open Source @IFTTT - A collection of IFTTT OSS projects.

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

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