What users are saying about
Top Rated
113 Ratings
192 Ratings
Top Rated
113 Ratings
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Score 8.7 out of 100
192 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.

Feature Set Ratings

    Platform Connectivity

    8.4

    Anaconda

    84%

    PyCharm

    Feature Set Not Supported
    N/A
    Anaconda ranks higher in 4/4 features

    Connect to Multiple Data Sources

    8.9
    89%
    22 Ratings
    N/A
    0 Ratings

    Extend Existing Data Sources

    8.7
    87%
    23 Ratings
    N/A
    0 Ratings

    Automatic Data Format Detection

    8.3
    83%
    21 Ratings
    N/A
    0 Ratings

    MDM Integration

    7.8
    78%
    14 Ratings
    N/A
    0 Ratings

    Data Exploration

    8.6

    Anaconda

    86%

    PyCharm

    Feature Set Not Supported
    N/A
    Anaconda ranks higher in 2/2 features

    Visualization

    8.6
    86%
    24 Ratings
    N/A
    0 Ratings

    Interactive Data Analysis

    8.6
    86%
    23 Ratings
    N/A
    0 Ratings

    Data Preparation

    8.5

    Anaconda

    85%

    PyCharm

    Feature Set Not Supported
    N/A
    Anaconda ranks higher in 4/4 features

    Interactive Data Cleaning and Enrichment

    8.4
    84%
    23 Ratings
    N/A
    0 Ratings

    Data Transformations

    8.8
    88%
    25 Ratings
    N/A
    0 Ratings

    Data Encryption

    8.4
    84%
    19 Ratings
    N/A
    0 Ratings

    Built-in Processors

    8.4
    84%
    20 Ratings
    N/A
    0 Ratings

    Platform Data Modeling

    8.6

    Anaconda

    86%

    PyCharm

    Feature Set Not Supported
    N/A
    Anaconda ranks higher in 4/4 features

    Multiple Model Development Languages and Tools

    8.6
    86%
    22 Ratings
    N/A
    0 Ratings

    Automated Machine Learning

    8.5
    85%
    21 Ratings
    N/A
    0 Ratings

    Single platform for multiple model development

    8.9
    89%
    23 Ratings
    N/A
    0 Ratings

    Self-Service Model Delivery

    8.5
    85%
    18 Ratings
    N/A
    0 Ratings

    Model Deployment

    8.2

    Anaconda

    82%

    PyCharm

    Feature Set Not Supported
    N/A
    Anaconda ranks higher in 2/2 features

    Flexible Model Publishing Options

    8.3
    83%
    20 Ratings
    N/A
    0 Ratings

    Security, Governance, and Cost Controls

    8.0
    80%
    19 Ratings
    N/A
    0 Ratings

    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

    8.4

    Anaconda

    84%
    37 Ratings
    8.7

    PyCharm

    87%
    41 Ratings

    Likelihood to Renew

    7.0

    Anaconda

    70%
    1 Rating
    10.0

    PyCharm

    100%
    1 Rating

    Usability

    9.0

    Anaconda

    90%
    2 Ratings

    PyCharm

    N/A
    0 Ratings

    Support Rating

    8.9

    Anaconda

    89%
    18 Ratings
    8.3

    PyCharm

    83%
    26 Ratings

    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.
    Rounak Verma | TrustRadius Reviewer

    PyCharm

    It's easy to create virtual environments and install packages for different projects as we may need project-specific packages for doing our experiments, also it's easy to see what changes we have made and create pull requests faster. But sometimes we want some light python editor like Jupiter notebook as PyCharm is relatively heavier, also Jupiter notebooks are a good option when we need to run remote code on local machines.
    Anonymous | TrustRadius Reviewer

    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.
    Anomita Chandra | TrustRadius Reviewer

    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.
    Nitin Pasumarthy | TrustRadius Reviewer

    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.
    Maike Holthuijzen | TrustRadius Reviewer

    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.
    Leah Jakaitis | TrustRadius Reviewer

    Pricing Details

    Anaconda

    General

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

    Starting Price

    $0

    Anaconda Editions & Modules

    Edition
    Commercial Edition14.951
    Team Edition$10,000
    Enterprise EditionContact for quote
    1. per month
    2. none
    Additional Pricing Details

    PyCharm

    General

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

    Starting Price

    $8.9 per month

    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

    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 9.0
    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 18 answers
    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.
    Ryan McGarry | TrustRadius Reviewer

    PyCharm

    PyCharm 8.3
    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 the best IDE for python development. PyCharm offers various features: source code completion, support for unit testing, integration with Docker/GitLab/Git, ability to manage and configure virtual environments, auto-indentation, and re-factoring code with ease. Support for JSON/Shell scripts and support for Flask/Django Other tools are effective for creating isolated scripts but not for handling projects with more than two scripts.
    Anonymous | TrustRadius Reviewer

    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
    Fernanda Ministerio | TrustRadius Reviewer

    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.
    Anonymous | TrustRadius Reviewer

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