Software Alternatives & Reviews

Google Cloud Datalab VS Jupyter

Compare Google Cloud Datalab VS Jupyter and see what are their differences

Google Cloud Datalab logo Google Cloud Datalab

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

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 Cloud Datalab Landing page
    Landing page //
    2023-10-14
  • Jupyter Landing page
    Landing page //
    2023-06-22

Google Cloud Datalab videos

No Google Cloud Datalab videos yet. You could help us improve this page by suggesting one.

+ Add video

Jupyter videos

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 Cloud Datalab and Jupyter)
Data Dashboard
27 27%
73% 73
Data Science And Machine Learning
Database Tools
39 39%
61% 61
Big Data Analytics
37 37%
63% 63

User comments

Share your experience with using Google Cloud Datalab and Jupyter. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Google Cloud Datalab Reviews

We have no reviews of Google Cloud Datalab yet.
Be the first one to post

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.
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.

Social recommendations and mentions

Based on our record, Jupyter seems to be more popular. It has been mentiond 204 times since March 2021. 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 Cloud Datalab mentions (0)

We have not tracked any mentions of Google Cloud Datalab yet. Tracking of Google Cloud Datalab recommendations started around Mar 2021.

Jupyter mentions (204)

View more

What are some alternatives?

When comparing Google Cloud Datalab and Jupyter, you can also consider the following products

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.

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

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

Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)

Rakam - Custom analytics platform

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