Software Alternatives & Reviews

Spyder VS Stata

Compare Spyder VS Stata and see what are their differences

Spyder logo Spyder

The Scientific Python Development Environment

Stata logo Stata

Stata is a software that combines hundreds of different statistical tools into one user interface. Everything from data management to statistical analysis to publication-quality graphics is supported by Stata. Read more about Stata.
  • Spyder Landing page
    Landing page //
    2023-08-06
  • Stata Landing page
    Landing page //
    2023-09-27

Spyder videos

First steps with Spyder - Part 1: Getting Started

More videos:

  • Review - #Spyder Movie Review - Maheshbabu - A R Murugadoss
  • Review - Can-Am Spyder F3-S Review at fortnine.ca
  • Review - Spyder review by prashanth

Stata videos

What's it like–Getting started in Stata

More videos:

  • Review - Stata's dyndoc review
  • Review - 【Stata小课堂】第2讲:界面介绍

Category Popularity

0-100% (relative to Spyder and Stata)
Text Editors
100 100%
0% 0
Technical Computing
0 0%
100% 100
IDE
100 100%
0% 0
Data Dashboard
0 0%
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 Spyder and Stata

Spyder Reviews

Top 5 Python IDEs For Data Science
If you have the Anaconda distribution installed on your computer, you probably already know Spyder. It’s an open source cross-platform IDE for data science. If you have never worked with an IDE, Spyder could perfectly be your first approach. It integrates the essentials libraries for data science, such as NumPy, SciPy, Matplotlib and IPython, besides that, it can be extended...

Stata Reviews

25 Best Statistical Analysis Software
Stata is a robust statistical software widely utilized by professionals across various fields for efficient data management, in-depth statistical analysis, and comprehensive data visualization.
9 Best Analysis Software for PC 2023
Stata is statistical software that provides almost all the tools you need in data analysis and visualization. The software is crucial in data manipulation, computing statistics queries, visualization, and generating analytical reports. The software is owned by the StataCorp company and has several applications in various fields like science, engineering, biomedicine,...
Source: pdf.wps.com

Social recommendations and mentions

Based on our record, Spyder seems to be more popular. It has been mentiond 2 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.

Spyder mentions (2)

  • GitHub announced the 20 projects selected for their accelerator first cohort
    - https://github.com/spyder-ide/spyder: The scientific Python development environment - https://github.com/strawberry-graphql/strawberry: A GraphQL library for Python that leverages type annotations. Source: about 1 year ago
  • Python GUI Programming
    Spyder is open source and I was going through the source code. It is a lot to take in and before I go through the code I wanted to ask if anyone could point me in the direction of a Spyder code skeleton. Source: about 1 year ago

Stata mentions (0)

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

What are some alternatives?

When comparing Spyder and Stata, you can also consider the following products

PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...

IBM SPSS Statistics - IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.

IDLE - Default IDE which come installed with the Python programming language.

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

Thonny - Python IDE for beginners

JMP - JMP is a data representation tool that empowers the engineers, mathematicians and scientists to explore the any of data visually.