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Colaboratory VS Jupyter

Compare Colaboratory VS Jupyter and see what are their differences

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Colaboratory logo Colaboratory

Free Jupyter notebook environment in the cloud.

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.
  • Colaboratory Landing page
    Landing page //
    2022-11-01
  • Jupyter Landing page
    Landing page //
    2023-06-22

Colaboratory videos

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Google Colaboratory review: the best tool for Python programming and data analysis

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 Colaboratory and Jupyter)

Colaboratory

Jupyter

Development
100 100%
Development
0% 0
Data Science And Machine Learning
14 14%
Data Science And Machine Learning
86% 86
Online Learning
100 100%
Online Learning
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 Colaboratory and Jupyter

Colaboratory Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Google Colaboratory (known as Colab) is a browser-based notebook created by the Google team. The environment is based on the Jupyter Notebook environment, so it will be recognizable to those of you who are already familiar with Jupyter.
Source: lakefs.io
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Microsoft Azure Notebooks is a cloud-based platform for data science projects and machine learning that is similar to Google Colab and Kaggle Notebooks. It provides access to powerful hardware resources, including GPUs and TPUs, for running machine learning and deep learning models, as well as a number of other useful features, such as integration with Microsoft Azure...
Source: noteable.io

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

Colaboratory might be a bit more popular than Jupyter. We know about 208 links to it since March 2021 and only 205 links to Jupyter. 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.

Colaboratory mentions (208)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Google Colab - Free Jupyter Notebooks development environment. - Source: dev.to / 3 months ago
  • A playground to practice differential privacy - Antigranular
    To play with the dataset, we first must create a Jupyter notebook, a powerful and popular tool among data engineers. I created mine on Google Colab. - Source: dev.to / 4 months ago
  • Topic and Subtopic Extraction with the Google Gemini Pro
    Please head over to the Google Colab. - Source: dev.to / 4 months ago
  • How do I begin building AI tools for myself?
    But regardless of what you want to do, you'll probably use Python. In this context, a good way to work with Python is using Jupyter Notebooks. So you should start with installing Python and Jupyter and go from there. If you want to get started without installing anything, Google Colab gives you a remote Jupyter Notebook which runs in the browser for free. Source: 5 months ago
  • Journey into Jupyter Notebooks: A Beginner's Guide
    Remember school days when you'd share notes with classmates? Jupyter takes that spirit and amplifies it. Once you've crafted your Notebook, you can share it with peers, collaborators, and the world. Platforms like GitHub and Google's Colab natively render Jupyter Notebooks. It's like penning an open letter to the world but in a delightful mix of code, text, and visuals. - Source: dev.to / 7 months ago
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Jupyter mentions (205)

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What are some alternatives?

When comparing Colaboratory and Jupyter, you can also consider the following products

Kaggle - Kaggle offers innovative business results and solutions to companies.

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.

replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.

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

Explorium - Explorium is an External Data Platform that offers ML and AI-based datasets so data scientists can take part in data science competitors and marathons to win prizes.

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

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