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PSPP VS Jupyter

Compare PSPP VS Jupyter and see what are their differences

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PSPP logo PSPP

PSPP is a free software application for analysis of sampled data.

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.
  • PSPP Landing page
    Landing page //
    2023-06-26
  • Jupyter Landing page
    Landing page //
    2023-06-22

PSPP videos

+ Add

SPSS alternative - PSPP

More videos:

  • Review - como instalar pspp en mac

Jupyter videos

+ Add

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 PSPP and Jupyter)

PSPP

Jupyter

Technical Computing
100 100%
Technical Computing
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using PSPP and Jupyter. For example, how are they different and which one is better?
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Reviews

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

PSPP Reviews

Free statistics software for Macintosh computers (Macs)
PSPP is unique in cloning an old version of SPSS quite well, making it very familiar to those used to SPSS. It has some nasty bugs and quirks, so JASP and Jamovi may be better options unless you do a lot of data manipulation, or want to have a journal and use syntax. Not having a real Mac user interface makes PSPP painful at times, but it’s probably the best of the bunch for...
Source: www.macstats.org
10 Best Free and Open Source Statistical Analysis Software
GNU PSPP originated as an alternative to SPSS. This free and open source software has high output formatting features. Its fast performance capabilities allow users to process data efficiently quickly. It can perform all functions that are available with IBM SPSS. The exclusive features like importing from Postgres or extracting data from Gnumeric makes it one of the most...
Source: www.goodfirms.co
25 Best Statistical Analysis Software
GNU PSPP is a free, and open-source software for statistical analysis, primarily aimed at researchers and students. It serves as an excellent alternative to the proprietary software, SPSS (Statistical Package for the Social Sciences).
Source: www.scijournal.org

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 more popular. It has been mentiond 205 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.

PSPP mentions (0)

We have not tracked any mentions of PSPP yet. Tracking of PSPP recommendations started around Mar 2021.

Jupyter mentions (205)

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What are some alternatives?

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

JASP - JASP, a low fat alternative to SPSS, a delicious alternative to R.

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.

jamovi - jamovi is a free and open statistical platform which is intuitive to use, and can provide the...

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

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

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

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