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PyCharm Reviews

Vendor: JetBrains
4.3 out of 5
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What is PyCharm?

PyCharm is a powerful IDE designed for Python development, offering intelligent code analysis, seamless GitHub integration, and extensive support for frameworks like Django and Flask. Ideal for both beginners and professionals, it enhances coding efficiency and supports complex programming tasks.

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PyCharm is the #5 ranked solution in top Static Code Analysis solutions. PeerSpot users give PyCharm an average rating of 8.6 out of 10. PyCharm is most commonly compared to Checkmarx One: PyCharm vs Checkmarx One. PyCharm is popular among the small business segment, accounting for 48% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a performing arts, accounting for 14% of all views.
Buyer's Guide
PyCharm
April 2026
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Helped 892,487 peers since 2012

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PyCharm mindshare

As of May 2026, the mindshare of PyCharm in the Static Code Analysis category stands at 2.3%, up from 0.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Static Code Analysis Mindshare Distribution
ProductMindshare (%)
PyCharm2.3%
Veracode12.2%
Checkmarx One9.6%
Other75.9%
Static Code Analysis

PeerResearch reports based on PyCharm reviews

TypeTitleDate
CategoryStatic Code AnalysisMay 2, 2026Download
ProductReviews, tips, and advice from real usersMay 2, 2026Download
ComparisonPyCharm vs VeracodeMay 2, 2026Download
ComparisonPyCharm vs Checkmarx OneMay 2, 2026Download
ComparisonPyCharm vs KlocworkMay 2, 2026Download
Suggested products
TitleRatingMindshareRecommending
Checkmarx One3.99.6%88%81 interviewsAdd to research
Veracode4.012.2%89%207 interviewsAdd to research
 
 
Key learnings from peers
Last updated Mar 1, 2026

Valuable Features

PyCharm's valuable features include support for scientific and machine learning libraries like NumPy, Pandas, and TensorFlow, seamless integration with GitHub, versatile debugging tools, and intelligent code completion. Its support for frameworks such as Django and Flask, automated code refactoring through AI tools, and efficient virtual environment management enhance coding efficiency. Users appreciate the smart code editor, rich plugin repository, and effective syntax highlighting for improving cross-referencing and error identification capabilities.
  • "It is an excellent, fully integrated IDE with smart code analysis capability and a built-in debugger."
  • "The solution provides a good comprehensive debugging feature that I like and which is easy to use."
  • "With native Python code, a machine learning deployment taking 45 to 50 minutes to calculate can be efficiently reduced to a minute or half a second using these libraries."

Room for Improvement

PyCharm users highlight memory inefficiency, heavy resource consumption, and slow startup as key concerns. They suggest improved support for Python Notebooks, OpenCV features, and additional language compatibility. Integration with tools like GitLab and improved navigation are desired. Breakpoints and refactoring need enhancements. The high pricing, compared to free alternatives, is a barrier. A community edition could increase accessibility. Users also desire improved interactivity, performance, and a more intuitive interface. Disk space optimization is needed.
  • "There should be support for the RUST plugin in the Community edition for debugging."
  • "They give some functionality to use Python Notebook, but it's not great."
  • "A potential area of improvement in PyCharm at this point would be memory efficiency."

Pricing

Enterprise users find PyCharm's pricing and licensing generally fair and reasonable. The Community edition is free, appealing to budget-conscious users, while the Professional edition requires a paid license. Licensing options include annual and possibly monthly subscriptions, with some users noting they pay approximately $30 monthly to access multiple IDEs from JetBrains, such as PyCharm, IntelliJ, and DataGrip. Although PyCharm may be slightly more expensive than some alternatives, its value justifies the cost for many.
  • "I use the free community version, so I'm saving money there."
  • "The price is reasonable."
  • "The community edition is free, which is good."

Popular Use Cases

Organizations primarily utilize PyCharm for Python development, including machine learning operations, algorithm optimization, and coding tasks. Teams engage in diverse projects involving data processing, software development, and Python-related tasks. PyCharm supports rapid prototyping, debugging, and testing, with users deploying it for creating complex software with robotic operating systems and converting scripts. Users often integrate PyCharm with other tools like Coverity, Pylint, and Grafana, while some switch between Visual Studio and PyCharm based on task requirements.

Service and Support

JetBrains technical assistance receives mixed ratings, typically high. Several individuals reported quick and helpful interactions. Some had projects requiring support but received no response. Others never needed to reach out, praising PyCharm's reliability. A few sought support for account issues, noting quick resolutions. When using the free version, interaction with support hasn't been necessary. When compared to other tools like Visual Studio or Jupyter Notebook, those are sometimes favored for specific functions.

Deployment

Many find PyCharm's initial setup easy, especially with guidance like video tutorials. For those using remote interpreters or custom configurations, challenges may arise but improvements like JetBrains' Gateway are underway. Downloading from JetBrains and logging in via GitHub simplifies syncing settings. While installation’s typically quick, prior experience eases the process. Although on-premises setups are easy, familiarity aids in a smoother setup, with some considering the customization options complex.

Scalability

PyCharm users note its valuable scalability, accommodating teams ranging from small to large sizes. Many find it supports extensive projects without performance hitches, benefiting teams using Python. Licenses can be costly, making scalability tricky in terms of expanding usage. Teams appreciate PyCharm's integration with version control, simplifying projects. While some rate it highly for scalability, others find the tool's nature not fully applicable for scalability purposes, yet valuable in its domain.

Stability

Users rate PyCharm's stability highly, with many giving it scores around nine to ten out of ten. Some users report smooth performance without significant issues, though others note minor instances of sluggishness or resource intensity. Many find it stable enough for production-level development, appreciating its feature set and quick bug resolutions. Developers employing Docker integration have praise for its capabilities but occasionally encounter resource demands, which users with powerful systems find negligible.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our PyCharm Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company SizeCount
Small Business7
Midsize Enterprise1
Large Enterprise4
By reviewers
By visitors reading reviews
Company SizeCount
Small Business30
Midsize Enterprise6
Large Enterprise27
By visitors reading reviews

Top industries

By visitors reading reviews
Performing Arts
14%
University
13%
Marketing Services Firm
13%
Manufacturing Company
10%
Financial Services Firm
8%
Comms Service Provider
6%
Outsourcing Company
6%
Transportation Company
6%
Insurance Company
5%
Hospitality Company
3%
Computer Software Company
3%
Real Estate/Law Firm
2%
Renewables & Environment Company
2%
Retailer
2%
Government
2%
Logistics Company
2%
Educational Organization
2%
Non Tech Company
2%
Leisure / Travel Company
2%

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Learn more about PyCharm

PyCharm provides an integrated development environment that supports robotics, scientific computing, and machine learning. It features a built-in debugger and powerful AI-driven code completion, facilitating rapid prototyping and debugging. While it excels in many areas, users note challenges regarding system resource consumption and memory efficiency. Despite its pricing model, PyCharm remains a preferred choice for Python projects, thanks to its robust feature set and intuitive design.

What are PyCharm's key features?
  • Intelligent Code Analysis: Detects errors and suggests corrections in real-time.
  • Built-in Debugger: Offers a powerful tool for debugging complex code seamlessly.
  • Seamless GitHub Integration: Simplifies version control and collaboration.
  • Robust AI Features: Enhances productivity with AI-driven code completion.
  • Extensive Plugin Support: Customizes the environment for specific needs.
What benefits should users look for in reviews?
  • Enhanced Productivity: Streamlines coding with features like context-aware code completion.
  • Support for Scientific Libraries: Provides efficiency in projects involving data processing and machine learning.
  • Integration Capabilities: Works well with tools like Grafana, Coverity, and Pylint.

In scientific fields, PyCharm aids data scientists and engineers with machine learning and algorithm optimization. Its support for Python frameworks and integration with other tools make it suitable for projects in robotics and data processing. Users often pair it with Visual Studio for tasks outside Python development.

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PyCharm Reviews Summary
Author infoRatingReview Summary
Assistant Manager at a tech vendor with 10,001+ employees3.5I use PyCharm mainly for MLOps and value its Jupyter support, scientific/ML libraries, Hugging Face integration, and strong code editor plus Git/VCS workflow. It can be memory-heavy and slow to start/index, remote setup is cumbersome, but support and pricing are good.
Senior Consultant at Mark Gurry & Associates4.5I use PyCharm for rapid prototyping mainly in GenAI, appreciating its support for frameworks like Django and Flask, and intelligent features like code completion. Though its refactoring needs improvement compared to IntelliJ, it saves me time and money overall.
Senior Cyber Security Consultant at BIP4.5I've used PyCharm for 5–6 years at work and find it comfortable, with helpful AI features and a good debugger. Breakpoints could be clearer, but overall it's reliable, easy to install, and I’d rate it a nine.
Consultant at a comms service provider with 10,001+ employees4.0I found PyCharm stable and feature-rich, but its high cost limits adoption in our team, which prefers the free Visual Studio. The setup was easy, though broader usage would benefit from a free community edition like IntelliJ's.
Director at Freelance4.5I use PyCharm for writing quantitative libraries, data manipulation tools, and Django applications. Its unit testing integration is excellent, enhancing productivity. However, it uses heavy resources. I switched from Vim and found PyCharm preferable to Visual Studio Code for consistency.
Vice President at E-Cell Ramaiah4.0I use PyCharm for running, testing, and debugging code. It integrates well with GitHub, enhancing coding efficiency with features like documentation previews. However, it consumes significant memory, reducing laptop battery life, making alternatives like Visual Studio Code preferable for smaller projects.
Technical lead at a computer software company with 51-200 employees4.0I use PyCharm for software development, especially Python development across frameworks like Django and Flask. It offers excellent IDE features, source control integration, and AI-powered code completion, but it can be memory-intensive if too many files are open.
Scientist - Instrument II at AbbVie5.0I use PyCharm for developing complex software projects with robotic operating systems. It offers a user-friendly environment and supports robotics tools, though it lacks some OpenCV features. More support for ROS development would enhance my experience further.