Spyder Reviews and Ratings

Rating: 8.5 out of 10

Score

8.5 out of 10

Community insights

TrustRadius Insights for Spyder are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

Well-Formatted Code Comments: Many users have appreciated the well-formatted comments in the code, which have made it easier for them to read and understand the codebase. These clear and organized comments enhance the overall readability and maintainability of the code.
Free and Open Source: Several reviewers have found it beneficial that Spyder is free and open source. This allows them to utilize any library in Python for their data analysis and reporting tasks without any cost implications. The availability of a wide range of libraries enhances their ability to perform complex analyses efficiently.
Tailored for Python: A significant number of users have mentioned that Spyder is specifically designed for Python, making it highly suitable for data analysis and reporting operations in that programming language. Its integration with Python's ecosystem ensures seamless compatibility with popular scientific computing libraries such as NumPy, Pandas, and Matplotlib.

Reviews

8 Reviews

Best Oper source Python IDE

Rating: 9 out of 10

Incentivized

July 31, 2025

Use Cases and Deployment Scope

Spyder is one of our IDE that we're using for coding in python. Earlier I was using it for all kind of development in python but now I have restricted it's usage for writing single file code or writing scripts only. Apart from this it also provides limited data visualization for data structures and data frames too. It makes us easy to perform data related work too.

Pros

Provides wider screen to read and write code and flexibility to adjust size as per requirement.
While running the code it provide the variable overview and memory overview
Lightweight and easily available in Anaconda Navigator
Multiple compilation options are available
Works well for data analytics, Django, Flask and Fast API frameworks

Cons

Auto save functionality must be provided and files should be preserved on opening again
I didn't find folder explorer option which makes it difficult work with projects with multiple files.
Dark theme is good but light theme needs improvements

Likelihood to Recommend

Spyder is well suited if you're limited on hardware. You have to work with single code file. You need to quickly write some code and test it. Apart from this if you want to have a look at your variables then you can make use of Spyder. If you're working with Anaconda navigator then this can be the best to start with as it can be installed with single click there.

Ranu Singh

Technology Manager in Research & Development at Kainoos (51-200 employees)

Vetted Review

5 years of experience

Spyder - great for anybody using Python

Rating: 8 out of 10

Incentivized

January 13, 2025

Use Cases and Deployment Scope

Spyder is a Python IDE, and it is used by myself and my peers to write and run various Python scripts. Being a scientific organisation, this often means running scripts that will perform scientific functions for us. Of particular use to us is the built in plot feature within the GUI, meaning that as we run our scripts, useful plots are visible there and then.

Pros

Python IDE
No need to install python itself
Plots
Shows variables
Can show other data files

Cons

Remember GUI layout settings
Allow plots to be viewed in their own window/made bigger
Choose python version

Likelihood to Recommend

Spyder is really easy to use, and various scripts etc can easily be imported into it as needed. It is great to use when you need to run some python scripts on your data, do some data analysis, and run some plots.

Don't see any real limitations or where it is less appropriate, only limited by whatever limitations Python has.

Verified User

Manager in Engineering (51-200 employees)

Vetted Review

1 year of experience

This editor helped me learn Python

Rating: 10 out of 10

July 2, 2022

Use Cases and Deployment Scope

One of the big problems that I solved using the Spyder editor was mastering the basics of Python through which I understood how to practice programming, and I understood the way other languages work for use in other editors, as well as using the Python libraries that are inside Spyder when it was loaded.

Pros

data analysis
Speed in displaying output
The large number of libraries
Very easy user interface

Cons

Colors in code format
Add a broadcast to share the project with friends
Contains more than one important language such as Python

Likelihood to Recommend

I have really enjoyed trying Spyder for over 3 years on my own, with my friends and with my university. I learned the basics from it, learned a lot, and gained enough experience in handling and mastering the basics, and I will not expect to dispense with them, because I will still need them in some future projects.

Ammar Aboalrub

Freelancer in Customer Service at Self Employed (1-10 employees)

Vetted Review

3 years of experience

View profile

Spyder: a user friendly python programming platform

Rating: 9 out of 10

Incentivized

July 19, 2021

Use Cases and Deployment Scope

We used Spyder as part of our machine learning course where we had to code in python.

Pros

Debugging of your existing code
Generates figures very quickly as part of a figures tab which lets users understand results quickly
Different layouts are available for the software which will give the users freedom to decide what layout works best for them

Cons

The results tab needs to improved.
The software requires a bit of a learning curve. Tutorials about how the software can be used should be added.

Likelihood to Recommend

It is well suited for running machine learning packages. It helps the user divide their code into sections and lets them run whatever section they want to run individually. It is not suited for codes where the users want to generate an interactive notebook for visualizing the results.

Saransh Dikshit

Graduate Research Assistant in Engineering at Iowa State University (5001-10,000 employees)

Vetted Review

3 years of experience

View profile

Spyder Review

Rating: 9 out of 10

July 8, 2021

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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

Likelihood to Recommend

<div>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.</div><div>

</div><div>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.</div>

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.

Dilip Jain

Data Engineeer in Engineering at Wedvyah (11-50 employees)

Vetted Review

2 years of experience

View profile

Great way to transition from RStudio

Rating: 8 out of 10

Incentivized

March 14, 2021

Use Cases and Deployment Scope

I am using Spyder to run Python codes and conduct data analysis on market research data. It is used by the data analytics department. It allows us to build functions that can be shared between team members to speed up the analysis and data cleaning process.

Pros

Run Python codes.
Display graphics for users.
Very versatile and easy to use.

Cons

Could make user interface more visually attractive.
Ability to work on projects collaboratively real-time.
Setup process takes time.

Likelihood to Recommend

If you are transitioning from R to Python and are used to the R Studio's user interface. Maybe not so appropriate if you are looking to create a markdown document as the end product.

Jewon Ju

Data Analyst in Research & Development at LOAK (1-10 employees)

Vetted Review

11 years of experience

Spyder old fashion but useful tool

Rating: 8 out of 10

Incentivized

March 3, 2020

Use Cases and Deployment Scope

We use Spyder via anaconda in our organization. It is a decent python IDE that gives you a very similar feeling when an R user just transferred from R to python. The IDE allows users to run code line by line and make the debugging work much easier than doing it directly.

Pros

Free
Line by line debugging
Similar to Rstudio

Cons

Old interface
Not easy to change ENV
Only work with python

Likelihood to Recommend

Spyder is suitable for a company that either does not have a considerable budget or does not want to spend on the tools that cost a crazy amount of money. In the meantime, have a group of real data scientists/data engineers to perform the data science analytic work.

Xiaotong Song

Business Analyst in Corporate at 3M (10,001+ employees)

Vetted Review

5 years of experience

View profile

Spyder: one stop from R to Python

Rating: 9 out of 10

Incentivized

March 3, 2020

Use Cases and Deployment Scope

Spyder is used by some data scientists at our company. I am one of these people who are still using Spyder. Spyder is a good tool if you are coming from R background since the interface can be changed to almost the same as Rstudio and also allows you to run line by line.

Pros

Free.
Familiar.
Line execution.

Cons

Old style.
Poor layout.
Terminal hard to find.

Likelihood to Recommend

If you are a data scientist coming from R background and trying to adopt Python now, Spyder might be a good first stop for you. You have to keep the same coding habits from R to Python via Spyder. In here, you can have similar to Rstudio interface and code running mechanic.

Verified User

Analyst in Professional Services (10,001+ employees)

Vetted Review

5 years of experience

Loading Reviews List....

Home
,
Integrated Development Environment (IDE)
,
Spyder
,
Reviews and Ratings

Spyder Review

Rating: 9 out of 10

July 8, 2021

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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

Likelihood to Recommend

</div><div>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.</div>

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

Dilip Jain

Data Engineeer in Engineering at Wedvyah (11-50 employees)

Vetted Review

2 years of experience

View profile