Based on 113 reviews and ratings
Based on 192 reviews and ratings
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.
Provided by the TrustRadius Research Team
Published on July 16, 2020
Feature Set Ratings
Platform Connectivity
Anaconda
PyCharm
Connect to Multiple Data Sources
Extend Existing Data Sources
Automatic Data Format Detection
MDM Integration
Data Exploration
Anaconda
PyCharm
Visualization
Interactive Data Analysis
Data Preparation
Anaconda
PyCharm
Interactive Data Cleaning and Enrichment
Data Transformations
Data Encryption
Built-in Processors
Platform Data Modeling
Anaconda
PyCharm
Multiple Model Development Languages and Tools
Automated Machine Learning
Single platform for multiple model development
Self-Service Model Delivery
Model Deployment
Anaconda
PyCharm
Flexible Model Publishing Options
Security, Governance, and Cost Controls
Attribute Ratings
- Anaconda is rated higher in 1 area: Support Rating
- PyCharm is rated higher in 2 areas: Likelihood to Recommend, Likelihood to Renew
Likelihood to Recommend
Anaconda
PyCharm
Likelihood to Renew
Anaconda
PyCharm
Usability
Anaconda
PyCharm
Support Rating
Anaconda
PyCharm
Likelihood to Recommend
Anaconda
PyCharm

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.
PyCharm
- Git integration is really essential as it allows anyone to visually see the local and remote changes, compare revisions without the need for complex commands.
- Complex debugging tools are basked into the IDE. Controls like break on exception are sometimes very helpful to identify errors quickly.
- Multiple runtimes - Python, Flask, Django, Docker are native the to IDE. This makes development and debugging and even more seamless.
- Integrates with Jupyter and Markdown files as well. Side by side rendering and editing makes it simple to develop such files.
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.
PyCharm
- The biggest complaint I have about PyCharm is that it can use a lot of RAM which slows down the computer / IDE. I use the paid version, and have otherwise found nothing to complain about the interface, utility, and capabilities.
Pricing Details
Anaconda
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
Starting Price
Anaconda Editions & Modules
Edition
Commercial Edition | 14.951 |
---|---|
Team Edition | $10,000 |
Enterprise Edition | Contact for quote |
- per month
- none
Additional Pricing Details
—PyCharm
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
Starting Price
PyCharm Editions & Modules
Edition
For Organizations | $199.001 |
---|---|
For Organizations - Monthly | $19.902 |
Individual Use | $89.003 |
Individual Use - Monthly | $8.904 |
- per user/per year
- per user/per month
- per year
- per month
Additional Pricing Details
—Likelihood to Renew
Anaconda
PyCharm
Usability
Anaconda
PyCharm
Support Rating
Anaconda
PyCharm

Alternatives Considered
Anaconda
PyCharm

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
PyCharm
- Buying the licensed pro version is a bit costly, but overall because of its features and its speed, the time taken by a developer to develop something can be improved. Indirectly getting a good return of Investment.
- Considering the team size and its features, one can go for the licensed version as the ROI is high.
- Customer support is also good for a licensed version, thereby saving the time, which in turn shows ROI as high.
