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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Anaconda

    Score8.1 out of 10
    N/AAnaconda provides access to the foundational open-source Python and R packages used in modern AI, data science, and machine learning. These enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness open-source for competitive advantage and research. Anaconda also provides enterprise-grade security to open-source software through the Premium Repository.

    $0

    per month

    PyCharm

    Score9.3 out of 10
    N/APyCharm is an extensive Integrated Development Environment (IDE) for Python developers. Its arsenal includes intelligent code completion, error detection, and rapid problem-solving features, all of which aim to bolster efficiency. The product supports programmers in composing orderly and maintainable code by offering PEP8 checks, testing assistance, intelligent refactorings, and inspections. Moreover, it caters to web development frameworks like Django and Flask by providing framework…

    $9.90

    per month per user

    Pricing
    AnacondaPyCharm
    Editions & Modules
    Free Tier
    $0
    per month
    Starter Tier
    $9
    per month
    Business Tier
    $50
    per month per user
    Enterprise Tier
    60.00+
    per month per user
    For Individuals
    $99
    per year per user
    All Products Pack for Organizations
    $249
    per year per user
    All Products Pack for Individuals
    $289
    per year per user
    For Organizations
    $779
    per year per user
    Offerings
    Pricing Offerings
    AnacondaPyCharm
    Free Trial
    NoYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    AnacondaPyCharm
    Considered Both Products
    Anaconda
    Chose Anaconda
    It is almost dishonest to compare Anaconda with PyCharm as they do different things in their basic forms unless you spend a lot of time configuring plugins on your PyCharm environment. Anaconda has a lot of things ready and you just need to install your libs and dependencies.
    Incentivized
    Chose Anaconda
    Some analyzed tools, such as PyCharm and Spyder, are simpler to use but still do not have all the libraries needed for those starting out in data science--or in institutions that need to grow in that direction. Anaconda is more robust but stable, more complete, and the …
    Incentivized
    Chose Anaconda
    I know that PyCharm is a IDE and Anaconda is a distribution. However I use Anaconda largely due to Jupyter Notebook, which more or less does the same job as PyCharm. 1 year ago I decided to use Anaconda (Jupiyer Notebook) as it is easier to use it as a beginner(at least my …
    Incentivized
    Chose Anaconda
    Anaconda is very strong in the environment and version control that make data science work much easier. The only thing that might be comparable to Anaconda would be using Kubernetes to control Docker. Another potential improvement would be replacing spyder with PyCharm and Atom …
    Incentivized
    Chose Anaconda
    Anaconda is way easier to set-up. On Anaconda we have users working on Machine Learning in minutes, where on PyCharm is takes a lot longer to set-up and often involves getting help from IT. PyCharm is easier to integrate with Code repositories (such as GitHub), so if that's …
    Incentivized
    Chose Anaconda
    There are several reasons why Anaconda is better to use for me including that it is much easier to use than Baycharm. Also, the user interface is not as complicated as that of Baycharm. Even Anaconda does not slow down my device, using PaySharm slowed down my device in an …
    Incentivized
    Chose Anaconda
    In Anaconda, [it is easy] to find and install the required libraries. Here, we can work on multiple projects with different sets of the environment. [It is] easy to create the notebook for developing the ML model and deployment. Right now, it is the best data science version …
    Incentivized
    Chose Anaconda
    Free ware, better design ease of use
    Incentivized
    Chose Anaconda
    On top of all the software that I have used, Anaconda is the best because in Anaconda we have built-in packages that provide no headache to install packages and we can design a separate environment for different projects. Anaconda has versions made for special use cases. …
    Incentivized
    Chose Anaconda
    Compare Anaconda to Unix coding system. You can use PIP to install and create requirement.txt to replace environment.yml to avoid using Anaconda. However, Anaconda is such an excellent tool to maintain your environment and check the version of your package and update the …
    Incentivized
    Chose Anaconda
    I like SpyDER, which comes with Anaconda better for its intuitive layout and variable explorer options.
    Incentivized
    Chose Anaconda
    Anaconda is the best Python environment because you have all the things you need all in one places, at the reach of your hand. You can download and manage libraries as you wish and is very easy to create new projects and API's for all your stuff.

    It's Multiplatform so you don't …
    Incentivized
    JetBrains
    Chose PyCharm
    PyCharm is the best tool to switch between different projects. One can connect to various technologies at a time. Package and plugin installation is easy. Dark and light mode helps in working according to the mood. One can extend it to IntelliJ, depending on the need for custom …
    Incentivized
    Chose PyCharm
    PyCharm was selected due to it's first class treatment of Python. Visual Studio is more general "Do everything" IDE which contains a lot of features our team didn't need. PyCharm strikes the balance of power and complexity.
    Incentivized
    Chose PyCharm
    What differentiates PyCharm from other products is that it is built for a particular language (Python) and works great while doing it, without losing efficiency with the rest of languages. It's simple, easy to use, fast and efficient, what else could you need?
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
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    Implementation went as expected
    No answers on this topic
    No answers on this topic
    TrustRadius Insights
    AnacondaPyCharm
    Highlights

    TrustRadius
    Research Team Insight
    Published

    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.

    Features
    AnacondaPyCharm
    Platform Connectivity
    Comparison of Platform Connectivity features of Anaconda and PyCharm
    Feature
    Anaconda
    9.3
    25 Ratings
    PyCharm
    -
    Ratings
    Connect to Multiple Data Sources9.822 Ratings00 Ratings
    Extend Existing Data Sources8.024 Ratings00 Ratings
    Automatic Data Format Detection9.721 Ratings00 Ratings
    MDM Integration9.614 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of Anaconda and PyCharm
    Feature
    Anaconda
    8.5
    25 Ratings
    PyCharm
    -
    Ratings
    Visualization9.025 Ratings00 Ratings
    Interactive Data Analysis8.024 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Anaconda and PyCharm
    Feature
    Anaconda
    9.0
    26 Ratings
    PyCharm
    -
    Ratings
    Interactive Data Cleaning and Enrichment8.823 Ratings00 Ratings
    Data Transformations8.026 Ratings00 Ratings
    Data Encryption9.719 Ratings00 Ratings
    Built-in Processors9.620 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Anaconda and PyCharm
    Feature
    Anaconda
    9.2
    24 Ratings
    PyCharm
    -
    Ratings
    Multiple Model Development Languages and Tools9.023 Ratings00 Ratings
    Automated Machine Learning8.921 Ratings00 Ratings
    Single platform for multiple model development10.024 Ratings00 Ratings
    Self-Service Model Delivery9.019 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of Anaconda and PyCharm
    Feature
    Anaconda
    9.5
    21 Ratings
    PyCharm
    -
    Ratings
    Flexible Model Publishing Options10.021 Ratings00 Ratings
    Security, Governance, and Cost Controls9.020 Ratings00 Ratings
    User Ratings
    AnacondaPyCharm
    Likelihood to Recommend
    10.0
    (38 ratings)
    8.7
    (41 ratings)
    Likelihood to Renew
    7.0
    (1 ratings)
    10.0
    (2 ratings)
    Usability
    9.0
    (3 ratings)
    8.7
    (3 ratings)
    Support Rating
    8.9
    (9 ratings)
    8.3
    (13 ratings)