Anaconda vs. Spyder

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Anaconda
Score 8.6 out of 10
N/A
Anaconda provides access to the foundational open-source Python and R packages used in modern AI, data science, and machine learning. These enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness open-source for competitive advantage and research. Anaconda also provides enterprise-grade security to open-source software through the Premium Repository.
$0
per month
Spyder
Score 8.7 out of 10
N/A
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.
$0
per month
Pricing
AnacondaSpyder
Editions & Modules
Free Tier
$0
per month
Starter Tier
$9
per month
Business Tier
$50
per month per user
Enterprise Tier
60.00+
per month per user
No answers on this topic
Offerings
Pricing Offerings
AnacondaSpyder
Free Trial
NoNo
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
AnacondaSpyder
Considered Both Products
Anaconda
Chose Anaconda
Some analyzed tools, such as PyCharm and Spyder, are simpler to use but still do not have all the libraries needed for those starting out in data science--or in institutions that need to grow in that direction. Anaconda is more robust but stable, more complete, and the …
Chose Anaconda
On top of all the software that I have used, Anaconda is the best because in Anaconda we have built-in packages that provide no headache to install packages and we can design a separate environment for different projects. Anaconda has versions made for special use cases. …
Chose Anaconda
Free ware, better design ease of use
Spyder

No answer on this topic

Top Pros
Top Cons
Features
AnacondaSpyder
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Anaconda
9.4
24 Ratings
11% above category average
Spyder
-
Ratings
Connect to Multiple Data Sources9.722 Ratings00 Ratings
Extend Existing Data Sources8.923 Ratings00 Ratings
Automatic Data Format Detection9.621 Ratings00 Ratings
MDM Integration9.514 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Anaconda
9.2
24 Ratings
9% above category average
Spyder
-
Ratings
Visualization9.624 Ratings00 Ratings
Interactive Data Analysis8.923 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Anaconda
9.4
25 Ratings
13% above category average
Spyder
-
Ratings
Interactive Data Cleaning and Enrichment8.823 Ratings00 Ratings
Data Transformations9.625 Ratings00 Ratings
Data Encryption9.719 Ratings00 Ratings
Built-in Processors9.520 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Anaconda
9.3
23 Ratings
9% above category average
Spyder
-
Ratings
Multiple Model Development Languages and Tools9.622 Ratings00 Ratings
Automated Machine Learning8.821 Ratings00 Ratings
Single platform for multiple model development8.923 Ratings00 Ratings
Self-Service Model Delivery9.618 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Anaconda
9.5
20 Ratings
10% above category average
Spyder
-
Ratings
Flexible Model Publishing Options9.520 Ratings00 Ratings
Security, Governance, and Cost Controls9.519 Ratings00 Ratings
Best Alternatives
AnacondaSpyder
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
PyCharm
PyCharm
Score 9.3 out of 10
Medium-sized Companies
Mathematica
Mathematica
Score 8.3 out of 10
PyCharm
PyCharm
Score 9.3 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
PyCharm
PyCharm
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AnacondaSpyder
Likelihood to Recommend
9.5
(37 ratings)
9.9
(6 ratings)
Likelihood to Renew
7.0
(1 ratings)
-
(0 ratings)
Usability
9.0
(2 ratings)
-
(0 ratings)
Support Rating
8.9
(9 ratings)
8.0
(2 ratings)
User Testimonials
AnacondaSpyder
Likelihood to Recommend
Anaconda
As a Data Analyst, it is my job to analyze large datasets using complex mathematical models. Anaconda provides a one-stop destination with tools like PyCharm, Jupyter, Spyder, and RStudio. One case where it is well suited is for someone who has just started his/her career in this field. The ability to install Anaconda requires zero to little skills and its UI is a lot easier for a beginner to try. On the other hand, for a professional, its ability to handle large data sets could be improved. From my experience, it has happened a lot that the system would crash with big files.
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Open Source
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.
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Pros
Anaconda
  • It provides easy access to software like Jupyter, Spyder, R and QT Console etc.
  • Easy installation of Anaconda even without much technical knowledge.
  • Easy to navigate through files in Jupyter and also to install new libraries.
  • R Studio in Anaconda is easy to use for complex machine learning algorithms.
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Open Source
  • 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
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Cons
Anaconda
  • Although I have generally had positive experiences with Anaconda, I have had trouble installing specific python libraries. I tried to remedy the solution by updating other packages, but in the end, things got really messed up, and I ended up having to uninstall and reinstall a total of about 4 times over the past 2 years.
  • If you have the free version of Anaconda, there is not much support. Googling questions and error messages are helpful, but there were times when I wished I would have been able to ask technical support to help me troubleshoot issues.
  • There were a few times when I tried to install tensorflow and tensorboard via Anaconda on a PC, but I could not get them to install properly. Anaconda allows you to create 'environments' , which allow you to install specific versions of python and associated libraries. You can keep your environments separate so they do not conflict with one another. Anyway, I ended up having to create several 'conda envrionments' just so I could use tensforflow/tensorboard and a few other utilities to avoid errors. This was somewhat annoying, because every time I wanted to run a specific model, I'd have to open up the specific conda environment with the appropriate python libraries.
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Open Source
  • Colors in code format
  • Add a broadcast to share the project with friends
  • Contains more than one important language such as Python
Read full review
Likelihood to Renew
Anaconda
It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.
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Open Source
No answers on this topic
Usability
Anaconda
The interface is an easy to use command-line interface, or a GUI for launching and/or discovering different parts of the system.
Read full review
Open Source
No answers on this topic
Support Rating
Anaconda
Anaconda provides fast support, and a large number of users moderate its online community. This enables any questions you may have to be answered in a timely fashion, regardless of the topic. The fact that it is based in a Python environment only adds to the size of the online community.
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Open Source
Most of data scientists or data engineers are either using ec2 on the cloud or Atom or PyCharm locally. It is a bit hard to find people who are still using Spyder and have the sight of the IDE and can help you to answer your question.
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Alternatives Considered
Anaconda
ANACONDA VS Alteryx Analytics: Even though I find Alteryx to be an excellent tool for managing extremely massive data, Anaconda is much better and easy for analytics. Anaconda VS. MicroStrategy Analytics: Compared with Anaconda, MicroStrategy Analytics is very difficult to use and counter-intuitive Anaconda VS. Power BI For Office 365: One of the main advantages of BI for Office 364 is its capacity to data connectivity. However, it's very hard to edit data connections, once BI for Office is deployed in other platforms
Read full review
Open Source
I think Spyder doesn't stack up as well as other IDEs due to its many limitations. But it is available for free and that is one advantage it has over its competitors
Read full review
Return on Investment
Anaconda
  • Positive: Lower maintenance cost compared to other tools on the market
  • Positive: Ease in hiring professionals already accustomed to the tool in the job market
  • Positive: Projects are portable, allowing you to share projects with others and execute projects on different platforms, reducing deployment costs
Read full review
Open Source
  • Easy to use.
  • Quick switch from R.
  • Hard to manage env.
Read full review
ScreenShots