Anaconda vs. PyCharm
Product | Rating | Most Used By | Product Summary | Starting Price |
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Anaconda | N/A | Anaconda 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 | N/A | PyCharm 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 |
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Highlights |
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 LimitationsPyCharm 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. PricingPyCharm 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. |
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Anaconda | PyCharm | |
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Small Businesses | IBM SPSS Modeler Score 7.8 out of 10 | IntelliJ IDEA Score 9.3 out of 10 |
Medium-sized Companies | Mathematica Score 8.2 out of 10 | IntelliJ IDEA Score 9.3 out of 10 |
Enterprises | IBM SPSS Modeler Score 7.8 out of 10 | IntelliJ IDEA Score 9.3 out of 10 |
All Alternatives | View all alternatives | View all alternatives |
Anaconda | PyCharm | |
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Likelihood to Recommend | 9.5 (37 ratings) | 7.8 (38 ratings) |
Likelihood to Renew | 7.0 (1 ratings) | 10.0 (1 ratings) |
Usability | 9.0 (2 ratings) | - (0 ratings) |
Support Rating | 8.9 (9 ratings) | 8.3 (13 ratings) |
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Likelihood to Recommend | Anaconda | JetBrains |
Pros | Anaconda | JetBrains |
Cons | Anaconda | JetBrains |
Likelihood to Renew | Anaconda | JetBrains |
Usability | Anaconda | JetBrains No answers on this topic |
Support Rating | Anaconda | JetBrains |
Alternatives Considered | Anaconda | JetBrains |
Return on Investment | Anaconda | JetBrains |
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