What users are saying about
Top Rated
81 Ratings
Top Rated
121 Ratings
Top Rated
81 Ratings
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Score 9 out of 100
Top Rated
121 Ratings
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Score 8.9 out of 100

Highlights

PyCharm and Anaconda are both tools used to aid Python developers.  Though they are independent tools, PyCharm and AnaConda can be used together for projects that can benefit from both tools.  PyCharm is an IDE built to make it easier to write Python code, by providing a text editor and debugging, among other features.  Anaconda is a Python distribution focused on data driven projects. Both tools popular with businesses of all sizes that use Python.

Features and Limitations

PyCharm and Anaconda both provide specialized features for Python development, but provide different base functionalities.

PyCharm is an IDE, meaning it is interfaced with directly by developers writing Python code.  PyCharm provides a text editor including coding assistance features such as code navigation through search, and color coding.  Additionally, PyCharm provides support for multiple platforms, as well as complementary front end coding languages such as HTML and JavaScript.  In essence, PyCharm is designed to make it as easy as possible to code in Python, though it does not include any packages by default.  PyCharm also includes built-in support for Anaconda.

Anaconda includes a basic text editor, but its primary role is that of a Python distribution.  Projects using Anaconda can access data science packages of their choice from a library of over 400 popular packages.  Data science projects can use Anaconda to easily load packages to save time and reduce written code.  Anaconda is an ideal tool for performing data science tasks whether a business is using PyCharm or not, but it isn’t ideal for non-data oriented projects.

Pricing

PyCharm professional is priced at $199.00 per year, though its price reduces each year beyond the first. 

Anaconda is free to use for individuals, but pricing for teams starts at $10,000.  Enterprises that need unique features such as custom repositories can reach out to the vendor for a quote.

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

PyCharm

  • When Python is the main language of choice, an IDE like PyCharm is a great choice
  • Web development and server development (services) development is also very well supported
  • React programming needs some additional assistance as JSX is a new file format which mixes HTML as a JS string. That is amazingly integrated as well
  • However, this IDE has heavy memory requirements and needs a good machine
Nitin Pasumarthy | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Anaconda
8.8
PyCharm
Connect to Multiple Data Sources
Anaconda
9.1
PyCharm
Extend Existing Data Sources
Anaconda
9.2
PyCharm
Automatic Data Format Detection
Anaconda
8.6
PyCharm
MDM Integration
Anaconda
8.3
PyCharm

Data Exploration

Anaconda
8.6
PyCharm
Visualization
Anaconda
8.7
PyCharm
Interactive Data Analysis
Anaconda
8.5
PyCharm

Data Preparation

Anaconda
8.5
PyCharm
Interactive Data Cleaning and Enrichment
Anaconda
8.7
PyCharm
Data Transformations
Anaconda
9.1
PyCharm
Data Encryption
Anaconda
7.7
PyCharm
Built-in Processors
Anaconda
8.6
PyCharm

Platform Data Modeling

Anaconda
8.8
PyCharm
Multiple Model Development Languages and Tools
Anaconda
9.4
PyCharm
Automated Machine Learning
Anaconda
8.3
PyCharm
Single platform for multiple model development
Anaconda
8.9
PyCharm
Self-Service Model Delivery
Anaconda
8.6
PyCharm

Model Deployment

Anaconda
9.1
PyCharm
Flexible Model Publishing Options
Anaconda
8.9
PyCharm
Security, Governance, and Cost Controls
Anaconda
9.2
PyCharm

Pros

Anaconda

  • First of all it is very easy to install and it is user friendly. You just download a Anaconda from its official site and you can start using it for coding (I usually code using Jupiter Notebook) Compared to Pycharm it is easier navigate in Anaconda(Jupiter Notebook)
  • For me it is a best environment to use if I have small projects. Jupiter Notebook is running tasks much faster compared to Pycharm and other IDE's.
  • In my work I usually need different scientific packages that are not commonly used. As Anaconda have thousands of libraries it helps me making my job easier
Tigran Petrosyan | TrustRadius Reviewer

PyCharm

  • Customizable interface: layout, color scheme, hot keys, etc may all be individually tailored to a user.
  • Platform intelligence: debugging, code analysis, dependency resolution, and auto completion make the PyCharm IDE efficient and a pleasure to use
  • Support / tutorials guide the user through learning the different capabilities (this was a big deal for me when I switched to using Python / PyCharm after coding in a text editor and R Studio)
Leah Jakaitis | 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

PyCharm

  • Copy-paste does not work correctly. The default printing is in the form of Insert. I always need to press the enter button to come out of the insert mode and also have to right-click and select copy or paste instead of default CNTRL c and CNTRL V. It is working good for some others in the team, and I am not able to fix this.
  • Too much of underlining the code considering negligible errors make the code look bad.
  • Auto suggestions sometimes does not work as expected.
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

PyCharm

PyCharm 10.0
Based on 1 answer
It's perfect for our needs, cuts development time, is really helpful for newbies to understand projects structure
Paolo De Grazia | TrustRadius Reviewer

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

PyCharm

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

PyCharm

PyCharm 8.4
Based on 26 answers
I rate 10/10 because I have never needed a direct customer support from the JetBrains so far. Whenever and for whatever kind of problems I came across, I have been able to resolve it within the internet community, simply by Googling because turns out most of the time, it was me who lacked the proper information to use the IDE or simply make the proper configuration. I have never came across a bug in PyCharm either so it deserves 10/10 for overall support
Anonymous | TrustRadius Reviewer

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

PyCharm

PyCharm is made exclusively with developers in mind and it integrates very well with other components of the development cycle as well, which is missing in the other IDEs. The closest competitor according to me is Visual Studio Code that provides good support with the usage of good plugins, but it requires a lot of customization which is just there by default in PyCharm.
Anonymous | 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

PyCharm

  • Definitely improves developer productivity.
  • Fixing syntax errors is super easy and fast which is normally difficult in languages like Python.
  • It provides the option to read the documentation within IDE itself which is great and saves a lot of time rather than googling things.
  • No negative impacts.
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

PyCharm

General

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

PyCharm Editions & Modules

Edition
For Organizations$199.001
For Organizations - Monthly$19.902
Individual Use$89.003
Individual Use - Monthly$8.904
  1. per user/per year
  2. per user/per month
  3. per year
  4. per month
Additional Pricing Details

Rating Summary

Likelihood to Recommend

Anaconda
9.0
PyCharm
8.9

Likelihood to Renew

Anaconda
7.0
PyCharm
10.0

Usability

Anaconda
8.9
PyCharm

Support Rating

Anaconda
8.9
PyCharm
8.4

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