TrustRadius: an HG Insights company

PyCharm

Score9.2 out of 10

216 Reviews and Ratings

What is PyCharm?

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-specific aid. PyCharm also boasts remote development capabilities alongside integration with prominent tools such as IPython Notebook and Anaconda.

Framework-Specific Support

The product offers a variety of features such as debugging capabilities for Django templates, integration with manage.py and appcfg.py tools, special autocompletion and navigation functionalities. Additionally, PyCharm provides support for various Python web development frameworks, specific template languages, as well as JavaScript, CoffeeScript, TypeScript, HTML/CSS, AngularJS, Node.js, among others. This framework-specific support facilitates efficient workflow within preferred frameworks and enhances the overall development process.

Intelligent Code Completion

The PyCharm tool includes an intelligent code completion feature that claims to provide developers with suggestions as they write their code. This functionality is intended to increase productivity and reduce errors in software development projects. Leveraging its understanding of the codebase, PyCharm offers context-sensitive, schema-aware code completion which considers factors such as table structure and foreign keys in database-driven applications. It also supports multiple programming languages including Python, JavaScript, CoffeeScript, TypeScript, CSS, and popular template languages. Additionally, PyCharm provides time-saving features such as automatic code formatting and indentation, code snippets/live templates, braces matching, code commenting capabilities, and autocompletion with type inference.

Remote Development Capabilities

PyCharm offers a unified user interface (UI) for version control systems, including Git, SVN, and Mercurial, with the goal of improving efficiency in full-stack development. The product enables developers to streamline remote deployments to virtual machines or remote hosts by integrating Vagrant and Docker infrastructure management capabilities. Additionally, PyCharm provides an integrated debugger, test runner, Python profiler, built-in terminal, integration with major version control system (VCS) and database tools, support for remote interpreters via an integrated SSH terminal, and integration with Docker and Vagrant for running and debugging local code in remote or container environments. These features facilitate project configuration using SFTP or FTP scenarios for deployment while also enabling IDE-based terminal access to remote systems via SSH. Overall, PyCharm's functionality around VCS, Deployment, and Remote Development significantly contributes to enhancing developer productivity.

SQL Support

The product offers features such as editing tables and schemas, refactoring capabilities, import/export functionalities, and more. Its main objective is to improve productivity by providing direct access to popular SQL databases like Oracle, SQL Server, PostgreSQL, MySQL, etc., from the integrated development environment (IDE). It assists users in editing SQL code, executing queries, browsing data, and modifying schemas. The tool enables seamless data movement into and out of databases using formats like CSV/JSON/XML or through programming-based Data Extractor utilities. PyCharm Professional also incorporates intelligent code editor functions for integrating SQL with Python strings. Autocomplete functionality is available for both SQL commands and schema definitions of the specified datasource. Visualizing database objects organized within folders by schemas is supported as well. The tool's interface facilitates adding/editing tables, columns, indexes, constraints, etc. Additionally, it supports introspection of shared databases along with their contents while considering any datashares associated with these databases.

PyCharm is last stop for Python and GenAi Developer

Use Cases and Deployment Scope

I am a Backend Developer and writing most of code or building project is main part in my day to day life as a SWE, So for these all at our organization we preferred PyCharm IDE. It's easy to use and for a developer & it's give easy to Debug the code feature with several ways to add on extension. Like PyCharm solve problem to code and Debug at one place and easy to get in. Currently for Any API development or stuff we could easily merged and deliver. For me developing LLM based application seamlessly without taking second thoughts PyCharm giving all features to all free and paid users

Pros

  • Debugging
  • Latest extension support
  • Community edition
  • Project structure

Cons

  • Remote development for community users also
  • Support other languages also

Return on Investment

  • As a developer improved our speed of coding and due to that project maintenance and deliver become smooth

Usability

Alternatives Considered

Microsoft Visual Studio, Sublime Text, Eclipse and Atom

Other Software Used

Sublime Text, Microsoft Visual Studio, Atom

A Robust Development Environment for Python

Use Cases and Deployment Scope

We are using PyCharm as our main development IDE for all Python development. It has proven to be a fast, robust, and reliable development platform that facilitates the day-to-day work of the development team. It has good syntax highlighting capabilities, a fast and strong code completion system, and simple integration to docker running processes. We are happy with it and will continue using it as long as possible.

Pros

  • Code completion and suggestions
  • Error detection with static code analysis
  • Integration to docker
  • AI powered code generation

Cons

  • Pricing is a bit high compared to alternatives, but I am happy to pay for a good product

Return on Investment

  • Speed up development time
  • Allows better error detection
  • Speed up unit testing time

Usability

Alternatives Considered

Microsoft Visual Studio Code and Vim

Other Software Used

Vim, DBeaver

Perfect for Python projects

Use Cases and Deployment Scope

I used pycharm for a python project and it really helpful in terms of dealing with code and python environment

Pros

  • pycharm analyze my code and auto suggestion really helpful to align with current content
  • it automatically import necessary modules
  • we can navigate to the project structure effortlessly with a clear view of modules and package

Cons

  • if im working in robocorp/ robot framework code, it need some improvements in terms if keyboard shortcuts and customizations
  • Git integration is a bit complex by comparing with other IDE
  • sometimes continues usage make system clash even if system have recommended requirements

Return on Investment

  • it increase product productivity
  • improve code quality
  • enhance collaboration and reduce training code
  • Negatives : licensing cost

Usability

Alternatives Considered

Microsoft Visual Studio Code

Pycharm review from Pharma.

Use Cases and Deployment Scope

We use PyCharm to code data workflows, generate Python applications, and write in Terraform the necessary infrastructure for the data platform we are building in GCP. It allows us to develop faster due to the ease of adding widgets and extensions, the GitLab collaboration, and the console inside the IDE. The development of Python, bash, debt, and Kubernetes tools are all made in PyCharm.

Pros

  • Console integration.
  • Git Integration.
  • Jupyter notebooks inside the IDE.
  • Multiple projects.

Cons

  • Connection to LLms to help us code.
  • Merge commits.
  • Google integration.

Return on Investment

  • PyCharm for code quality.
  • Automated tests.
  • Integration with clouds.

Usability

Alternatives Considered

Microsoft Visual Studio Code

Other Software Used

Microsoft Visual Studio Code, Jupyter Notebook, Vertex AI, dbt

PyCharm makes Python development a charm

Use Cases and Deployment Scope

PyCharm is used as an Integrated Development Environment (IDE) for Python code. We have close to a hundred python micro-services. These micro-services are quite complicated with millions of lines of code. We tried many IDE(s) however none of those was able to handle the complicated services we have. PyCharm makes it quite easy to develop, refactor, test, and maintain the Python code. Managing different virtual environments is very easy with PyCharm as well. Built-in version control tools help with the day-to-day task of comparing/merging. Above all, it has increased developer productivity significantly.

Pros

  • Manage Python virtual environments
  • Easy development of Python code, refactoring, and auto-indentation
  • Integration with Docker
  • Integration with GitLab and Git

Cons

  • PyCharm text editor automatically inserts whitespace at the end of each line which can cause issues when doing text comparisons.
  • The package requirement checker and installer does not work well all the time and can be improved
  • Integration with GitLab pipelines can be made better.

Most Important Features

  • Develop, refactor and test Python code
  • Support for Django/Flask frameworks.
  • Ability to be able to auto-configure virtual environment(s) and switch between them
  • Integration with GitLab/Git

Return on Investment

  • PyCharm has a very positive ROI for our BU. It has increased developer productivity exponentially.
  • Software quality has significantly improved. We are able to refactor/test/debug the code quicker/faster/better.
  • Our business unit is able to deliver faster. Customers are happier than ever.

Alternatives Considered

Eclipse and Microsoft Visual Studio Code

Other Software Used

Google Kubernetes Engine, Amazon DocumentDB (with MongoDB compatibility), MongoDB, Amazon Managed Streaming for Apache Kafka (Amazon MSK)