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Users have found Spyder to be a valuable tool for data science and machine learning. Its robust environment enables users to analyze, …
Starting at $0 per month
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What is Spyder?
Spyder is a free and open source scientific environment for Python. It combines advanced editing, analysis, debugging, and profiling, with data exploration, interactive execution, deep inspection, and visualization capabilities. Spyder is sponsored by open source supporters QuanSight, and NumFOCUS, as…
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What is Spyder?
Spyder is a free and open source scientific environment for Python. It combines advanced editing, analysis, debugging, and profiling, with data exploration, interactive execution, deep inspection, and visualization capabilities. Spyder is sponsored by open source supporters QuanSight, and NumFOCUS,…
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Product Demos
Working with Spyder - Part 3: Optimizing code
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Working with Spyder - Part 2: Improving your code quality
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Working with Spyder - Part 1: Beyond the main panes
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First steps with Spyder - Part 3: Customization
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Spyder FAQ: How do I use additional packages if I downloaded Spyder from the standalone installers?
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First steps with Spyder - Part 2: Learning the basics
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Product Details
- About
- Tech Details
- FAQs
What is Spyder?
Spyder is a free and open source scientific environment for Python, built for scientists, engineers and data analysts. It combines advanced editing, analysis, debugging, and the profiling functionality of a comprehensive development tool with data exploration, interactive execution, deep inspection, and visualization capabilities similar to a scientific package. Spyder is sponsored by open source supporters QuanSight, and NumFOCUS, as well as individual donors.
Spyder Technical Details
| Deployment Types | On-premise |
|---|---|
| Operating Systems | Windows |
| Mobile Application | No |
Frequently Asked Questions
Spyder is a free and open source scientific environment for Python. It combines advanced editing, analysis, debugging, and profiling, with data exploration, interactive execution, deep inspection, and visualization capabilities. Spyder is sponsored by open source supporters QuanSight, and NumFOCUS, as well as individual donors.
Spyder starts at $0.
The most common users of Spyder are from Enterprises (1,001+ employees).
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(32)
Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
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Users have found Spyder to be a valuable tool for data science and machine learning. Its robust environment enables users to analyze, document, and transform data effectively. Many organizations rely on Spyder as their go-to coding platform, utilizing its features to write code, track code history, and enhance model performance. Being free and open-source, Spyder has gained a reputation as one of the best tools in the field.
Spyder finds extensive application in market research, where it is used for running Python code and conducting data analysis. Data analytics teams also utilize Spyder to build functions that can be easily shared among team members, streamlining the analysis and data cleaning processes. For those transitioning from R to Python, Spyder offers a familiar interface similar to RStudio when used via Anaconda. This makes it a popular choice among users coming from an R background.
One of the standout features of Spyder is its ability to run code line by line, facilitating efficient debugging and problem-solving for users. This functionality has proven invaluable in identifying and resolving issues within code. Additionally, Spyder has played a crucial role in helping users grasp the fundamentals of Python programming and enhance their understanding of key programming concepts.
In educational settings, Spyder is often incorporated into machine learning courses to provide students with hands-on experience coding in Python. It serves as a preferred tool for data scientists due to its similarity to RStudio and its capability to run code line by line, enabling better comprehension and mastery of Python programming techniques.
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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.
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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.
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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.
Limited data analysis capabilities: Some users have expressed that Spyder could improve its data analysis capabilities, particularly in how it presents plots and charts. They feel that the software lacks certain features or functionalities that are essential for their analytical needs.
Lack of visually attractive user interface: Several reviewers have mentioned that they would like to see a more visually attractive user interface in Spyder. They believe that a more modern and appealing design would enhance their overall experience with the software.
Difficulty working collaboratively: A number of users desire the ability to work on projects collaboratively in real-time, but they find it challenging to do so in Spyder. They suggest adding features or functionality that would enable seamless collaboration among team members.
Attribute Ratings
Reviews
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July 02, 2022
This editor helped me learn Python
Score 10 out of 10
Vetted Review
Verified User
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.
- data analysis
- Speed in displaying output
- The large number of libraries
- Very easy user interface
- Colors in code format
- Add a broadcast to share the project with friends
- Contains more than one important language such as Python
July 19, 2021
Spyder: a user friendly python programming platform
We used Spyder as part of our machine learning course where we had to code in python.
- 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
- 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.
July 08, 2021
Spyder Review
Score 9 out of 10
Vetted Review
Verified User
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.
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
March 14, 2021
Great way to transition from RStudio
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.
- Run Python codes.
- Display graphics for users.
- Very versatile and easy to use.
- Could make user interface more visually attractive.
- Ability to work on projects collaboratively real-time.
- Setup process takes time.
March 03, 2020
Spyder old fashion but useful tool
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.
- Free
- Line by line debugging
- Similar to Rstudio
- Old interface
- Not easy to change ENV
- Only work with python
March 03, 2020
Spyder: one stop from R to Python
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.
- Free.
- Familiar.
- Line execution.
- Old style.
- Poor layout.
- Terminal hard to find.