What users are saying about
Top Rated
81 Ratings
Top Rated
81 Ratings
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Score 9 out of 100
3 Ratings
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Score 7 out of 100

Likelihood to Recommend

Anaconda

Anaconda is great for academic and private organizations that cannot afford more expensive Python/R package managers. Also, it is more appropriate for intermediate to advanced Python users--Anaconda can be somewhat frustrating for beginners, as it takes some practice to get comfortable with the workflow. I find it particularly useful for working in teams, because if everyone uses the same package manager, it is easier to troubleshoot issues and makes for reproducible research. For wealthier organizations, a premium package management system (with tech support) would be ideal. Anaconda is also great for people working independently on code development.
Maike Holthuijzen | TrustRadius Reviewer

Enthought Canopy

Enthought Canopy is best suites for scripting data analytical concepts. It has a wide range of data analytical libraries and also is good for data visualization. I would not recommend using Enthought Canopy only as an IDE, there may be better options available. If you're looking for a good data simulation & visualization package, Canopy it is.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Anaconda
8.7
Enthought Canopy
Connect to Multiple Data Sources
Anaconda
8.9
Enthought Canopy
Extend Existing Data Sources
Anaconda
9.1
Enthought Canopy
Automatic Data Format Detection
Anaconda
8.6
Enthought Canopy
MDM Integration
Anaconda
8.3
Enthought Canopy

Data Exploration

Anaconda
8.4
Enthought Canopy
Visualization
Anaconda
8.5
Enthought Canopy
Interactive Data Analysis
Anaconda
8.3
Enthought Canopy

Data Preparation

Anaconda
8.4
Enthought Canopy
Interactive Data Cleaning and Enrichment
Anaconda
8.7
Enthought Canopy
Data Transformations
Anaconda
9.0
Enthought Canopy
Data Encryption
Anaconda
7.7
Enthought Canopy
Built-in Processors
Anaconda
8.3
Enthought Canopy

Platform Data Modeling

Anaconda
8.7
Enthought Canopy
Multiple Model Development Languages and Tools
Anaconda
9.3
Enthought Canopy
Automated Machine Learning
Anaconda
8.0
Enthought Canopy
Single platform for multiple model development
Anaconda
8.9
Enthought Canopy
Self-Service Model Delivery
Anaconda
8.5
Enthought Canopy

Model Deployment

Anaconda
8.8
Enthought Canopy
Flexible Model Publishing Options
Anaconda
8.7
Enthought Canopy
Security, Governance, and Cost Controls
Anaconda
9.0
Enthought Canopy

Pros

Anaconda

  • Clear install story. There are a lot of ways to install python. There's only one way to install anaconda. This makes teaching and standardizing much easier.
  • Batteries included. It's easy to install things in python, but anaconda ships with most of what you need out of the box. This helps with standardization and reproducibility.
  • Good integrations with Jupyter and other visual tools. Jupyter is really convenient when learning various python packages. Anaconda makes these tools easy to launch and to use.
Matthew Deakyne | TrustRadius Reviewer

Enthought Canopy

  • Providing scientific libraries, both open source and Enthought's own libraries which are excellent.
  • Training. They provide several courses in python for general use and for data analysis.
  • Debugging tools. Several IDEs provides tools for debugging, but I think they are insufficient or too general. Canopy has a special debugging tool, specially design for python.
Jesús Aponte | TrustRadius Reviewer

Cons

Anaconda

  • Anaconda could greatly benefit by integrating with Git and other versioning software.
  • The software's default installation is relatively bloated, slower on older machines, and could be improved by allowing for a lean default installation environment.
  • Anaconda has an issue with supporting the current version of Computer-Vision, a commonly used machine learning package.
Ryan McGarry | TrustRadius Reviewer

Enthought Canopy

  • Canopy does not support Python 3
  • There were times the Python shell crashed, and I would have to restart it
  • Some Python libraries are slow.
Anonymous | TrustRadius Reviewer

Likelihood to Renew

Anaconda

Anaconda 7.0
Based on 1 answer
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.
Matthew Deakyne | TrustRadius Reviewer

Enthought Canopy

No score
No answers yet
No answers on this topic

Usability

Anaconda

Anaconda 8.9
Based on 2 answers
The interface is an easy to use command-line interface, or a GUI for launching and/or discovering different parts of the system.
Juande Santander-Vela | TrustRadius Reviewer

Enthought Canopy

No score
No answers yet
No answers on this topic

Support Rating

Anaconda

Anaconda 8.9
Based on 16 answers
There is a lot of sources to get support for Anaconda based on the large data scientist or data engineer user community. Whenever you need something, you can type it in Google search, and you can find out people who had a similar problem and the solution for it.
Xiaotong Song | TrustRadius Reviewer

Enthought Canopy

No score
No answers yet
No answers on this topic

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-intuitiveAnaconda 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
Mauricio Quiroga-Pascal Ortega | TrustRadius Reviewer

Enthought Canopy

Before Canopy with its python we were working with Matlab. We decided for Canopy against Matlab for two reasons: First, we believe that python together with NumPy or SciPy can achieve the objectives with less code and therefore less training, and second the prizes are much lower than matlab which is most robust, expensive and less intuitive. It's clear we are making the comparison with python and it has nothing to with canopy. But with Canopy you feel you have all those tools close together without the problem of configuration, besides a lot of personalized libraries that complements a typical python environment.
Jesús Aponte | TrustRadius Reviewer

Return on Investment

Anaconda

  • We can get any new employee set-up on Python for Machine learning in minutes, without any assistance from IT. That's real $ savings.
  • We started to experiment with Machine Learning a lot more, which leads to creating new projects which can have a tremendous impact on the business.
Anonymous | TrustRadius Reviewer

Enthought Canopy

  • Its easier to define KPI's with Enthought
  • It is good for reiteration and building on top of existing scripts
  • Its dedicated Python console makes it easier to execute projects.
Anonymous | TrustRadius Reviewer

Pricing Details

Anaconda

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Anaconda Editions & Modules

Edition
Commercial Edition14.951
Team Edition$10,000
Enterprise EditionContact for quote
  1. per month
Additional Pricing Details

Enthought Canopy

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Enthought Canopy Editions & Modules

Additional Pricing Details

Rating Summary

Likelihood to Recommend

Anaconda
9.0
Enthought Canopy
6.0

Likelihood to Renew

Anaconda
7.0
Enthought Canopy

Usability

Anaconda
8.9
Enthought Canopy

Support Rating

Anaconda
8.9
Enthought Canopy

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