Spyder Review
July 08, 2021

Spyder Review

Dilip Jain | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Spyder

Spyder is a great tool to work in the field of Data Science and Machine learning. Spyder is IDLE that provides us a good environment to work with different libraries with a quick view of our data representation as well as documentation.
In my organization, we use spyder to analyze, document as well data transformation for further use. We use spyder to write the code in the IDLE and track our code history and how we are improving the model performances as well as analyzing the data.
Spyder is one of the best tools I have ever used in our organization. and One of the biggest advantages to use spyder is free and open source.
  • Well formatted comments in the code.
  • It's Free and Open source to use any library in python
  • Spyder is best suited for Python only with data analysis and reporting generation operations.
  • Spyder can improve the data Analysis part, means how they show plotting's, charts and all
  • Spyder can be improved when it comes with full set of the libraries that generally used in the Data Science
  • It's Free and open source.
  • It is easy to use and handy tool with different types of themes.
  • Well documented and commented code
  • Attractive interface and UI
  • Not suitable for collaborative work.
  • Difficult to setup its environment
  • Suitable for Python only.
I have chosen Spyder because it's free and open-source that comes with properly documented comments in the code. I have been using Spyder for more than 2 years and it always feels good to work with Spyder every time start my work. In Spyder, we have three windows one for man code window, idle window, and the other is for running your code and analyze. So to test a particular code I use the idle window to see what is going to be the result when I use this set of codes.

That the main reason, I use Spyder.

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Spyder is an open-source Python IDE designed for the movement of data science work. Spyder comes with an Anaconda package manager distribution, so depending on your setup you may have installed it on your machine.

Spyder includes most of the "standard IDE" features you can expect, such as a strong syntax code editor, Python code rendering, and an integrated text browser.

Spyder is used when we want to develop a code that is useful and able to explore proper documentation of the code that has been written. We use Spyder to perform data-related operations like filtration, cleaning, and enhancing the data qualities.

There some cases where it is less appropriate like working in an environment, creating dashboards of data visualizations and plots.