GitHub Copilot is presented as an AI pair programmer, that plugs into the user's editor. It then turns natural language prompts into code, offers multi-line function suggestions, speeds up test generation, filters out common vulnerable coding patterns, and blocks suggestions matching public code.
$10
per month
PyCharm
Score 9.2 out of 10
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…
$99
per year per user
Pricing
GitHub Copilot
PyCharm
Editions & Modules
CoPilot for Individuals
$10
per month
CoPilot for Business
$19
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
GitHub Copilot
PyCharm
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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—
More Pricing Information
Community Pulse
GitHub Copilot
PyCharm
Considered Both Products
GitHub Copilot
Verified User
Anonymous
Chose GitHub Copilot
Augment, Google Gemini, Uniqodo, Windsurf and Cursor
I have also used Anthropic's Claude code Its amazing, and I would say it is even better than GitHub Copilot. However, the only issue with claude code is its subscription price, which is very very high as compared to GitHub Copilot.
I used cursor AI as well, along with CoPilot. Curson has its own AI editor, but Copilot works with almost every code editor. So I don't need to depend on just one editor, and I get the flexibility to choose my own editors. The billing is also good and doesn't require many …
In terms of AI and developing tasks, GitHub Copilot is the only tool I have used so far. Copilot Work, Copilot Web, Copilot Teams, Copilot Excel, Copilot Word, Copilot Outlook, Copilot Power Point are other agents of Copilot that I use daily, but are all complementary of GitHub …
ChatGPT, Perplexity, and Grok are AI tools that developers use to boost productivity. However, GitHub Copilot outperforms them due to its tight integration with Visual Studio. GitHub Copilot can analyze all the code in your workspace and provide contextual assistance within …
It has historically worked much better. However, as all of this is relatively new technology it is hard to really judge something since most of the time you are kind of using a beta version of a product. I believe things will get better over time. That said, Microsoft copilot …
It is useful that copilot integrates so well with vscode, which is a very common IDE. I used tabnine for a little while but it was not that intuitive, and did not seem as helpful as github copilot was. I have enjoyed github copilot a lot, especially the ease of hitting the tab …
It is more complete and can handle more projects at the same time. On the other hand, Visual Studio Code has better integration with LMS to help you code. PyCharm allows you to integrate with many external tools and external servers that Visual Studio Code has difficulties with.
For dedicated python projects, I don't need any other IDE than Pycharm becaus of its perfect UI, suggestions and plugins for PYthon. For other code or small scripts I would go with VS Code.
I feel PyCharm is better fit for Python web development as it's a full platform that is designed by developers for developers. While VSCode is free and does basically the same things, I always feel that it's less robust. Also, while I enjoy Vim as a simple text editor, I prefer …
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. …
When it comes to development and debugging PyCharm is better than Spyder as it provides good debugging support and top-quality code completion suggestions. Compared to Jupiter notebook it's easy to install required packages in PyCharm, also PyChram is a good option when we want …
First of all, PyCharm is easy to install for beginners whose parent organization is JetBrains. It can be installed on any operating system with ease. It provides Python Django Framework for FrontEnd Developers which others do not provide. The UI is also simpler as compared to …
PyCharm provided a more focused environment where it was much clearer how the different components of software development workflow came together. I have much more limited experience with Visual Studio Code and Atom, but found those environments to be more confusing, as they …
I think we can use Visual Studio Code or IntelliJ to do the same. When I do not care about packages and pure data science programs on python, I use Jupyter notebooks on anaconda distribution.
I preferred PyCharm because of its debugging capabilities, plus it has a built-in git versioning tool that helps teams to collaborate. I like the UI of this IDE, and it makes development very simple and enjoyable. PyCharm has helped in reducing development time because of its …
PyCharm is probably the best IDE for Python, whether it is Web or Machine Learning as in the cases I witnessed so far. It has much variety in terms of functionality, such as auto code completion, data type illustration, git visualization, package management (pip), code history …
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 …
I've used Sublime, VSCode, Wing IDE, Visual Studio, IntelliJ, WebStorm. For Java development, Intellij is best - being built by the same company as PyCharm it provides a helpful familiarity. The same can be said for WebStorm, although more lightweight IDEs are usually …
Eclipse was a bit boggy compared to using PyCharm. Eclipse has way more features for product and we wanted something more tuned for Python programming. We never turned back once we started using PyCharm.
Simply one of the best IDE's of our time. It has a lot of features, a big user base, and a professional developer team behind it. It simply surpasses most of its competitors, as there are not too many Python-specialized IDEs anyway.
PyCharm has all the features that ACIM software has, such as version control, real-time coding correction, misuse, and documentation. Now what has determined is the integration of this IDE with features that we would normally have to perform in external applications like BD …
All other IDEs do not have as many tools and practicalities as PyCharm has. To run code or manage your virtual environments sometimes you need to have multiple terminals or other applications open, when with PyCharm all this integration is present in itself.
Pycharm works great for multi-file projects that span across directories thanks to its intuitive UI and easy navigation. It has many integrated features like built-in support for github etc. that let users do multiple related tasks from within the IDE itself. This acts as a …
Debugging, code execution, package installation, standard following, and giving hints for better and more efficient code. All of these are my observations and differences between the two.
Compared to bare bones editors like Sublime and Notepad++, Pycharm is a full-service IDE with all the bells and whistles that makes python coding easy and convenient. There is no need to use the terminal or Mac finder to navigate to different files or use CMD+F to find where a …
Copilit is fantastic at the following: 1. Solving simple, well-defined problems, such as implementing an algorithm, manipulating a data structure, or string manipulation and regex. 2. Implementing simple APIs that are mainly CRUD in nature, with moderate business logic inside them, which may involve some processing or passing the data through an algorithm. 3. Implementation of well-defined activities, such as implementing a connection to an Oracle DB using Hibernate or JDBC, or implementing boilerplate code for a backend service to listen to Kafka events. It is not that great when it comes to understanding and implementing code in a proprietary DSL. It struggles when implementing a major feature across a complex codebase. I believe developers should also adopt the trust-but-verify paradigm when expecting highly secure or regulated code from GitHub Copilot.
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.
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.
I feel that GitHub Copilot's overall usability is good due to its tight integration with Visual Studio and the workspace. However, developers expect greater ease of use, as there is a learning curve to realize productivity gains with the tool fully. I think there is room for improvement in GitHub Copilot's UI integration within Visual Studio.
It's pretty easy to use, but if it's your first time using it, you need time to adapt. Nevertheless, it has a lot of options, and everything is pretty easy to find. The console has a lot of advantages and lets you accelerate your development from the first day.
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
I used Cursor AI as well, along with CoPilot. Curson has its own AI editor, but Copilot works with almost every code editor. So I don't need to depend on just one editor, and I get the flexibility to choose my own editors. The billing is also good and doesn't require many coupons to write prompts.
It is more complete and can handle more projects at the same time. On the other hand, Visual Studio Code has better integration with LMS to help you code. PyCharm allows you to integrate with many external tools and external servers that Visual Studio Code has difficulties with.
Improved efficiency with coding assistance (templates, code completion, documentation), which helps us avoid 'reinventing the wheel' with new projects.
Extensive support for other packages/integrations: Docker support to test code, Git repo creation (for version control), and integration with different database systems (Postgres, MySQL).