--- title: PyCharm Reviews meta_title: 'PyCharm Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 785 reviews by the users' company size, role or industry to find out how PyCharm works for a business like yours. aggregate_rating: rating_value: 4.6 review_count: 785 scale: '5' date_modified: '2026-07-02' parent_category: name: Integrated Development Environments (IDE) url: https://www.g2.com/categories/integrated-development-environments-ide --- # PyCharm Reviews **Vendor:** JetBrains **Category:** [Python Integrated Development Environments (IDE)](https://www.g2.com/categories/python-integrated-development-environments-ide) **Average Rating:** 4.6/5.0 **Total Reviews:** 785 ## About PyCharm PyCharm is an integrated development environment (IDE) that helps professional Python developers be more productive, be more confident, and write better code. PyCharm Pro supports the entire Python workflowout of the box, including web frameworks, frontend technologies, databases, and scientific tooling. PyCharm Community Edition, a free and open-source project, is also available for general Python programming tasks. ## PyCharm Pros & Cons **What users like:** - Users appreciate the **ease of use** in PyCharm, thanks to its intuitive interface and customizable features. (17 reviews) - Users appreciate the **feature-rich experience** of PyCharm, seamlessly integrating tools for efficient Python development. (14 reviews) - Users praise PyCharm's **efficient code editing capabilities** , enhancing their development experience with features like auto-completion and syntax highlighting. (9 reviews) - Users value the **robust debugging tools** in PyCharm, enhancing productivity and minimizing errors during development. (8 reviews) - Users find PyCharm's **setup ease** exceptional, benefiting from a simple installation and intuitive configuration. (8 reviews) - Performance Efficiency (7 reviews) - Users rave about the **Python support** in PyCharm, highlighting its features and ease for effective coding. (6 reviews) - Useful (6 reviews) - Debugging Tools (5 reviews) - Git Integration (5 reviews) **What users dislike:** - Users find PyCharm's **limited features** in the free version restrictive, especially for advanced web development and integration tasks. (5 reviews) - Users find PyCharm **expensive** , particularly for the professional version, which can be a barrier for many developers. (4 reviews) - Users find that PyCharm has **high system requirements** causing slow loads and heavy resource consumption, especially on older machines. (4 reviews) - Users note a **steep learning curve** with PyCharm, finding the interface and features overwhelming at first. (3 reviews) - Users find PyCharm **resource-intensive** on lower-end machines, leading to performance issues and limitations in the free version. (3 reviews) - Users experience **slow performance** with PyCharm, especially when running multiple heavy applications simultaneously. (3 reviews) - Software Bugs (3 reviews) - Users often face **debugging issues** that require modifying other aspects, affecting efficiency and workflow. (2 reviews) - Slow Loading (2 reviews) - Users are disappointed by the **limited AI integration** in PyCharm compared to competitors, hindering their development workflow. (1 reviews) ## PyCharm Reviews ### 1. PyCharm Boosts Productivity with Smart Completion and Powerful Debugging **Rating:** 4.5/5.0 stars **Reviewed by:** ABDUL MUNAF Z 2. | Frontend Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** June 13, 2026 **What do you like best about PyCharm?** What I like most about PyCharm is its intelligent code completion and strong debugging tools. The IDE catches errors as I write and offers helpful suggestions that speed up development. Its interface is clean and well organized, which makes it easier to manage larger projects without feeling overwhelmed. I also appreciate the convenient integration with Git and virtual environments, since it lets me manage version control and project dependencies in one place. Overall, PyCharm boosts my productivity by cutting down on repetitive tasks and making code navigation much smoother. **What do you dislike about PyCharm?** One drawback of PyCharm is that it can be resource-intensive, especially when working on larger projects or on systems with limited memory. Startup time can sometimes feel slower compared to lighter code editors. There is also a learning curve for new users because of the large number of features and configuration options available. While the Community Edition is useful, some advanced features are only available in the paid version, which may not be ideal for individual developers or students. **What problems is PyCharm solving and how is that benefiting you?** PyCharm helps me manage Python development more efficiently by bringing coding, debugging, testing, and version control tools together in a single environment. Rather than switching between multiple applications, I can write code, spot errors, run tests, and manage Git repositories all in one place, which saves time and boosts my productivity. From a support and onboarding standpoint, the setup process was straightforward, and the documentation made it easy to get started quickly. The built-in tips and tutorials, along with extensive community resources, also helped me learn new features and resolve issues when they came up. Overall, I was able to spend more time developing and less time dealing with environment configuration and troubleshooting. ### 2. Easy Python Access for Non-Developers—Great for Learning and Building Basic Tools **Rating:** 4.5/5.0 stars **Reviewed by:** Luca B. | Co-Founder, Consulting, Small-Business (50 or fewer emp.) **Reviewed Date:** May 09, 2026 **What do you like best about PyCharm?** It gave me access to Python without being a developer. It made it relatively easy for me to create the first basic tools and understanding the basic behind more complex coding. Also, for my limited needs, it's free. **What do you dislike about PyCharm?** At the beginning I had some basic barriers (like I had to understand what the terminal was for, how do download some needed tools, how to access previous projects, as well). Let's say that for someone that has never coded in his life, the tool could be a bit more intuitive / user friendly **What problems is PyCharm solving and how is that benefiting you?** It helps me to create simple, automatized tools for my work (for example, automatized data scraper, or automatized, recurrent analysis on the same type of dataset). I also used it personally, for fun, to create basic games for my kids (with the help of Cursor though in that case) ### 3. Smart, Efficient Coding in PyCharm with Powerful Completion and Debugging **Rating:** 5.0/5.0 stars **Reviewed by:** Shrutika P. | Junior Developer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** April 28, 2026 **What do you like best about PyCharm?** I work with Python in PyCharm and what I like the most is how smart and efficient it feels to work with. Easy to write clean code and fix issues quickly with features such as intelligent code completion, debugging and built-in tools that keep me productive. **What do you dislike about PyCharm?** One downside to PyCharm is that it can be a bit of a resource hog and slow, especially on large projects or weaker machines. Startup time can be a little long and some advanced features are only available in the paid version. **What problems is PyCharm solving and how is that benefiting you?** It solves the problem of handling development work across several tools. It combines coding, debugging and testing, streamlining my workflow and making development more efficient. Intelligent suggestions and error detection features help me write better code faster and reduce mistakes, which saves time overall. Also integrates well with GitHub for version control. ### 4. The heavy-lifting IDE for production ML, though it demands a powerful machine. **Rating:** 5.0/5.0 stars **Reviewed by:** Sachin G. | Machine Learning Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 13, 2026 **What do you like best about PyCharm?** As a Machine Learning Engineer at a mid-sized tech company, I use PyCharm Professional as my central command station for taking models from the research phase all the way into production. My day-to-day involves pulling messy datasets from our internal warehouses, writing extensive preprocessing pipelines in Pandas, and training deep learning models using PyTorch. Beyond just the data science work, I use it to wrap our trained models into FastAPI applications, configure Docker containers, and manage our deployment code. It is where I write, test, and package everything before it hits our cloud infrastructure.The standout feature for my specific workflow is the remote development capability. Training large models locally isn't an option, and PyCharm allows me to seamlessly link my local editor to our remote GPU servers. I can write and navigate code locally with zero latency, but when I hit run, the code executes on the heavy hardware over SSH. The visual debugger is also a total game-changer for machine learning. Instead of littering my code with print statements to figure out where a tensor shape mismatch occurred, I can pause execution, visually inspect the multi-dimensional arrays, and see exactly what is going wrong in memory. I also have to praise the built-in database tools. Being able to query our PostgreSQL databases, inspect the schema, and directly pull that data into a Python environment without ever switching windows keeps me completely focused. **What do you dislike about PyCharm?** For all of its intelligent features, PyCharm is notoriously resource-hungry. If you are opening a massive repository with a bloated virtual environment, the initial indexing phase takes so long that you might as well go make a cup of coffee. Running PyCharm alongside a few local Docker containers will quickly eat up your RAM and make your laptop fans sound like a jet engine. Additionally, while JetBrains has tried hard to improve their Jupyter Notebook integration, it still feels clunky and rigid compared to just running a notebook natively in a web browser. For quick, exploratory data analysis and plotting, I usually avoid PyCharm entirely because it feels too heavy and restrictive for that specific task. **What problems is PyCharm solving and how is that benefiting you?** The biggest real-world problem PyCharm solved for our team was untangling massive amounts of technical debt. We inherited a chaotic, undocumented recommendation engine from a previous team that was incredibly fragile. Trying to update it in a lightweight text editor was terrifying because a single changed variable could break an import three folders away. PyCharm’s intelligent code navigation and safe refactoring tools allowed me to restructure the entire codebase, rename core classes, and extract messy scripts into clean modules with total confidence. It also completely cured our team's issues with environment inconsistencies. Because the IDE makes virtual environment and Docker configurations so visible and strictly enforces them, we completely eliminated the classic "it works on my machine but not in production" headaches. ### 5. Perfect for scaling messy machine learning models, as long as you have the RAM to spare. **Rating:** 5.0/5.0 stars **Reviewed by:** Lokesh S. | Senior Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** June 12, 2026 **What do you like best about PyCharm?** My primary roles at a mid-size tech firm include data science duties like EDA,/model training and creating scalable/pipelines. We use PyCharm Pro for most of the work, mainly to expand our code from the raw, non-production-ready, hacky code we produce in standalone Jupyter notebooks to well-designed, robust, production-ready Python apps. The day is a long one of writing data transformation code, troubleshooting scripts, managing virtual machines and environment, before getting them to our cloud platform.The built-in PyCharm code intelligence and debugging are really unique features for the Python space. The visual debugger allows me to stop the program, making a list of all of the variables right there, including large, deeply nested data structures, or complex machine-learning vectors; that alone has saved me several hours of having to write all kinds of temporary print statements. Additionally, the automated refactoring tools are A LOT of help, for instance when my script becomes quite unreadable, I can rename a variable, extract a method or move a class from one place to the another in the whole project and the location reference only changes for the refactored code without affecting anything. Also, the tools and functions for creating, testing and running complex SQL queries on our data warehouse are included as part of the Professional version, so I can do these things in the same application without ever leaving it for another database tool. **What do you dislike about PyCharm?** The major drawback is, of course, the weight and intensive usage of the software. Whenever I use the huge repository to open a new set of files, to pull new changes, or to install new library, the background indexing kicks in and my laptop fans make an immediate "jet plane" sound. Uses a lot of memory, can be a big constraint if I need to run my own Docker containers on my home machine or load big sets of data into memory to be analyzed. Also I'm always very careful not to double click in the project explorer on a multi-gigabyte csv file, otherwise pycharm will show the text in it and stand completely inactive for the remainder of the time that it will have to be forced quit. **What problems is PyCharm solving and how is that benefiting you?** When we think about PyCharm this is key for us because they connect the dots between experimental data science to a strict software engineering process. Our team used to write a lot of spaghetti code, which always worked well in a one time occurrence of a presentation but failed to work if we tried to automate it! There is so much integration of PEP 8 in PyCharm, even in the way the code is written from the beginning, and the format checker, which is very strict with types, compels us to write cleaner, more maintainable code from the start. The scenarios are numerous, but a real one that we've had in the past, the need to move a large legacy recommendation engine. The system's built-in version control and dependency intelligence let us plan the architecture, identify missing links and isolate the old code and logic without impacting the running system. It was a huge stress relief for us to deploy and helped a lot with collaboration. ### 6. Simple UI and Great for Large Python Files. **Rating:** 4.0/5.0 stars **Reviewed by:** Ritesh S. | Engineer, Computer Software, Enterprise (> 1000 emp.) **Reviewed Date:** May 04, 2026 **What do you like best about PyCharm?** The most helpful thing is the ui it is very simple and not very difficult to find anything. it ability to run large python files is the best thing about the pycharm. While working on building AI models our team used pycharm as the code editor as every library that we needed for our project was available and we just needed to integrate it. **What do you dislike about PyCharm?** It lags a lot like when i try to upload a large folder even after full upload sometimes it is removed which make the work very hectic. It does not support any AI integrations which makes difficult to resolve doubts in our code or correct the errors in our code. While working we looked for AI to review our code but it was not there in pycharm editor this was not a good thing in today's time. **What problems is PyCharm solving and how is that benefiting you?** For me it is the best editor to run python files or code when i am working with python i don't need to install a lot of things again and again once download the library remains in our editor. Also it is free so i don't need to use any other editor. The support provided by the pycharm team at any point of difficulty during our project in our organization very good. ### 7. A powerhouse for backend Python development, but it can be heavy on resources **Rating:** 5.0/5.0 stars **Reviewed by:** Yogesh S. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 27, 2026 **What do you like best about PyCharm?** I work as a software engineer at a mid-sized tech company where our team mainly builds backend REST APIs and data processing pipelines. My day-to-day involves writing a massive amount of Python code, managing local Docker containers, and running complex database queries. I use PyCharm Professional as my primary IDE because it acts as a centralized workstation for all of these tasks, preventing me from having to constantly juggle five different applications just to get a single feature built.What I appreciate most about PyCharm is how deeply it actually understands Python. The code completion and refactoring tools go way beyond basic text matching; making widespread changes like renaming classes or extracting methods across a large codebase feels incredibly safe and intuitive. The built-in database integration is another massive benefit for my workflow. Instead of switching back and forth between my code and a separate SQL client like DBeaver, I can inspect tables, run queries, and modify schemas right next to my Python files. I also have to highlight the native visual debugger. Being able to step through complex, multi-layered API requests and inspect local variables in real-time has saved me countless hours compared to just dropping print statements everywhere. **What do you dislike about PyCharm?** On the downside, PyCharm is notoriously heavy and takes a serious toll on system resources. When I have a couple of large microservices open along with several Docker containers running in the background, my laptop definitely starts to lag, and the initial indexing time when you first clone and open a new repository can really test your patience. The sheer number of features, tool windows, and settings menus can also be quite overwhelming. It took me a good few months to figure out where everything was, and I notice that newer junior developers joining our team often feel intimidated by the interface at first glance. **What problems is PyCharm solving and how is that benefiting you?** problem PyCharm solves for our team is catching logic errors early and making complex debugging manageable. For example, before using PyCharm's advanced run configurations, debugging issues with our asynchronous Celery background tasks was an absolute nightmare of sifting through massive text logs. Now, I can seamlessly attach the IDE's debugger directly to the running worker processes and see exactly where and why a data payload is failing to process. This has drastically cut down the time it takes to track down obscure bugs in our local environments, which ultimately allows us to ship more stable code to production with a lot less stress. ### 8. Excellent Python Support with Smart Completion, Refactoring, and Debugging **Rating:** 5.0/5.0 stars **Reviewed by:** Sanket O. | SDET, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** March 06, 2026 **What do you like best about PyCharm?** Excellent Python support. The smart code completion is genuinely helpful, and the real-time error detection catches issues early. The intelligent refactoring tools are also a strong point. It understands Python deeply, which helps reduce bugs and speeds up development. The debugger is powerful, and the built-in tools for developers make day-to-day work smoother. **What do you dislike about PyCharm?** Heavy on system resources. The startup is slow, which can be frustrating when I just want to get going quickly. Also, the professional version is paid. **What problems is PyCharm solving and how is that benefiting you?** Writing and Managing Complex Python Code Problem: Debugging Errors. When the codebase gets more complex, tracking down errors and understanding why something breaks can take a lot of time, especially when issues are not easy to reproduce. Problem: Managing Python Packages and Environments. Keeping dependencies organized and making sure the right versions are installed across different environments can be frustrating, and small mismatches can lead to unexpected behavior. Problem: Testing Code Efficiently. As projects grow, it becomes harder to test changes quickly and confidently, and setting up an efficient testing approach can feel like a challenge on its own. ### 9. PyCharm: Powerful, Intuitive, and Fast—With Great Value and Loyalty Discounts **Rating:** 5.0/5.0 stars **Reviewed by:** Francisc C. | Software Engineer, Automotive, Small-Business (50 or fewer emp.) **Reviewed Date:** May 14, 2026 **What do you like best about PyCharm?** PyCharm is the best IDE I’ve used throughout my programming career. It’s extremely powerful, packed with features, and still very easy and intuitive to use. The plug-in ecosystem is excellent, and I’ve never had the feeling that anything important was missing. On my Apple Silicon MacBook Pro, it runs very fast, so performance has never been an issue. I’m also very happy with the pricing. I really like that the longer you stay with JetBrains, the more loyalty discounts they offer. Their student programme is great as well. I also appreciate that if they decide to raise prices, they give you a heads-up and the option to pre-pay at the old rate for the next few years. That feels like genuine respect for long-time customers. **What do you dislike about PyCharm?** The push for AI features is a bit annoying but it's easy to turn off so that's good. **What problems is PyCharm solving and how is that benefiting you?** This was my main programming tool for the past 6+ years. It would be very hard for me to get used to another Python programming environment. It really facilitates my work. ### 10. Easy Start, Slight Learning Curve **Rating:** 4.5/5.0 stars **Reviewed by:** David S. | Scientist, Small-Business (50 or fewer emp.) **Reviewed Date:** April 17, 2026 **What do you like best about PyCharm?** I use PyCharm for writing simple Python code while learning it for different aspects of my role. I find it convenient to have everything I need in one place and to be able to work on multiple projects simultaneously without the interface being too cluttered or distracting. PyCharm was fairly easy to pick up and use, and although it felt a bit complicated to navigate at first, I eventually found it streamlined and uniform once I got used to it. Installing and getting started with PyCharm was easy enough. **What do you dislike about PyCharm?** The first few times I used it I didn't fully understand how to use it to open or save projects. The language was a bit confusing. Maybe having better help options more easily accessible from the interface. **What problems is PyCharm solving and how is that benefiting you?** I use PyCharm because it allows me to have everything I need in one place and work on multiple projects easily. The UI is streamlined and not distracting. ## PyCharm Discussions - [Does you recommend any it professional to use pyCharm instead of coding?](https://www.g2.com/discussions/does-you-recommend-any-it-professional-to-use-pycharm-instead-of-coding) - 1 comment, 1 upvote - [Is IntelliJ as good as PyCharm for Python? Does it have the same features?](https://www.g2.com/discussions/is-intellij-as-good-as-pycharm-for-python-does-it-have-the-same-features) - 2 comments, 1 upvote - [Why is it taking so long to start?](https://www.g2.com/discussions/porque-esta-tardando-tanto-al-iniciar) - 1 comment, 1 upvote - [Why do I always need to come out of Insert option while creating a program or opening any file again](https://www.g2.com/discussions/why-do-i-always-need-to-come-out-of-insert-option-while-creating-a-program-or-opening-any-file-again) - 1 comment, 1 upvote - [when do I get a feature called opening output in new window rather than opening in a same page](https://www.g2.com/discussions/when-do-i-get-a-feature-called-opening-output-in-new-window-rather-than-opening-in-a-same-page) - 1 comment, 1 upvote - [View PyCharm pricing details and edition comparison](https://www.g2.com/products/pycharm/reviews/pycharm-review-4511733?section=pricing&secure%5Bexpires_at%5D=2026-07-04+15%3A42%3A14+-0500&secure%5Bsession_id%5D=f495f24f-9042-497e-8f03-1a81f301bcc9&secure%5Btoken%5D=a7f39d5711f856eec7adfca8eb977b3cdbfc7bb2b8d76ccf53afbdb88e5d3d9a&format=llm_user) ## PyCharm Integrations - [Anaconda Core](https://www.g2.com/products/anaconda-core/reviews) - [Claude Code](https://www.g2.com/products/claude-code/reviews) - [Git](https://www.g2.com/products/git/reviews) - [GitHub](https://www.g2.com/products/github/reviews) - [GitHub Copilot](https://www.g2.com/products/github-copilot/reviews) - [GitLab](https://www.g2.com/products/gitlab/reviews) - [Jira](https://www.g2.com/products/jira/reviews) - [Python](https://www.g2.com/products/python/reviews) - [Visual Studio Code](https://www.g2.com/products/visual-studio-code/reviews) - [WebStorm](https://www.g2.com/products/webstorm/reviews) ## PyCharm Features **Functionality ** - Ease of Use - File Management - Multi-Language Support - Customization - Straight-Out-the-Box Functionality - Help Guides - Patching & Updates ## Top PyCharm Alternatives - [Eclipse](https://www.g2.com/products/eclipse/reviews) - 4.3/5.0 (3,093 reviews) - [AWS Cloud9](https://www.g2.com/products/aws-cloud9/reviews) - 4.3/5.0 (340 reviews) - [The Jupyter Notebook](https://www.g2.com/products/the-jupyter-notebook/reviews) - 4.6/5.0 (240 reviews)