Anaconda for Python
February 18, 2020

Anaconda for Python

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Anaconda

Anaconda is used mainly for handling different Python versions and packages and being used for data analysis tasks on collaborative projects in the ECE department.
  • Handle different environments with different versions of python and its libraries. This is a handy feature because some tools like PSSE run only with Python 2.7.
  • Anaconda preinstalls the most useful libraries and packages.
  • It's a little slow at startup. If it were a little faster, that would add significantly to the experience.
  • Anaconda is open-source, so high return on investment. Easy learning curve. Love the SpyDER IDE.
I like SpyDER, which comes with Anaconda better for its intuitive layout and variable explorer options.
I haven't had any difficulty so far.

Do you think Anaconda delivers good value for the price?

Yes

Are you happy with Anaconda's feature set?

Yes

Did Anaconda live up to sales and marketing promises?

Yes

Did implementation of Anaconda go as expected?

Yes

Would you buy Anaconda again?

Yes

Best suited for getting started with Python, handling different libraries, version control, etc. I have not found any deal-breaking shortcomings yet.

Anaconda Feature Ratings

Connect to Multiple Data Sources
8
Extend Existing Data Sources
8
Automatic Data Format Detection
8
MDM Integration
Not Rated
Visualization
9
Interactive Data Analysis
9
Interactive Data Cleaning and Enrichment
9
Data Transformations
9
Data Encryption
Not Rated
Built-in Processors
Not Rated
Multiple Model Development Languages and Tools
9
Automated Machine Learning
9
Single platform for multiple model development
9
Self-Service Model Delivery
Not Rated
Flexible Model Publishing Options
Not Rated
Security, Governance, and Cost Controls
Not Rated