PyCharm

PyCharm

JetBrains
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About

Anaconda is an AI-native development platform that helps teams move from experimentation to production with trusted open-source packages, governed environments, and production-grade orchestration. The platform provides a secure foundation for Python, data science, machine learning, and AI development across the full model lifecycle. Anaconda Core helps teams manage complex Python dependencies with validated packages, automated security scanning, and intelligent conflict resolution. The Anaconda Platform supports governed AI development so organizations can reduce broken environments, stalled deployments, and unmanaged open-source risk. Its trusted distribution is used by millions of users, developers, contributors, organizations, and Fortune 500 companies. Built for enterprise AI teams, Anaconda helps organizations accelerate open-source AI innovation while maintaining control, security, and governance.

About

All the Python tools in one place. Save time while PyCharm takes care of the routine. Focus on the bigger things and embrace the keyboard-centric approach to get the most of PyCharm's many productivity features. PyCharm knows everything about your code. Rely on it for intelligent code completion, on-the-fly error checking and quick-fixes, easy project navigation, and much more. Write neat and maintainable code while the IDE helps you keep control of the quality with PEP8 checks, testing assistance, smart refactorings, and a host of inspections. PyCharm is designed by programmers, for programmers, to provide all the tools you need for productive Python development. PyCharm provides smart code completion, code inspections, on-the-fly error highlighting and quick-fixes, along with automated code refactorings and rich navigation capabilities.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data science teams, AI engineers, machine learning teams, Python developers, enterprise IT leaders, platform teams, research teams, and organizations that need trusted open-source packages, secure Python environments, dependency management, AI governance, orchestration, and production AI deployment support

Audience

Python developers

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$199 per user per year
Free Version
Free Trial

Reviews/Ratings

Overall 4.8 / 5
ease 4.9 / 5
features 4.6 / 5
design 4.6 / 5
support 4.6 / 5

Reviews/Ratings

Overall 4.6 / 5
ease 5.0 / 5
features 4.8 / 5
design 4.7 / 5
support 4.7 / 5

Pros & Cons from Real Users

Pros

  • The best thing I like about the software is that it helps to develop the code for software. It provides the environment for python coding and R programming. Also, this tool gives the easy output generating option where you can easily debug the code if there's any error.
  • If you are a Python developer then you would surely came across Anaconda once in your journey. The pros that I find with Anaconda is the tools it provides. Basically it fulfills all your requirements. Also managing and installing packages is also very simple with anaconda. It is best for Data analysts and Data scientists.
  • You can all sort of the DevOps work with ease and in a single place. It is powerful and very easy to use. It gives you generic options.
  • You can do nearly any ML work via anaconda using python. It supports all kinds of algorithms and helps a lot of plugins to make development seamless.
  • You can do any Python development on Anaconda. You can integrate your project written in Python and use ML tools to develop it accordingly. It is compelling and fully feature-packed.

Cons

  • Nothing is said to be least about this software. It's a best software in the market.
  • The only con that I found was that it is a bit heavy software and turns on my system fan every time I uses it.
  • It is best for development. It has a separate workplace for a particular type of development.
  • It needs a lot of space on your local drive as well as a ram. It has vast applications but could hang if the hardware is not up to mark.
  • It does not work perfectly on a computer with low hardware specification due to the features it has. It is huge in size.

Pros & Cons from Real Users

Pros

  • 1. PyCharm is an intuitive IDE with some useful features like auto-indentations, debugging and refactoring of code. 2. It can be easily integrated with docker and git for seamless version controlling without having to install any extra application. 3. The extension store has a lot of useful and variety of extensions. 4. It is robust, reliable and provides fast compilation timings.
  • - PyCharm is a smooth IDE for python development which can be integrated with many frameworks like Django. - It has some useful features like auto-completion, suggestion, error detection, debugging and auto indentation which helps in seamless python development. - It supports in built testing like unit testing. - It is intuitive and has a modern user interface.
  • 1. It has an excellent auto complete features that helps tremendously by suggesting syntax. 2. It can be customized heavily according to the user's preference. 3. The debugging features works really well. 4. It has inbuilt dark mode, which is better on eyes during long coding sessions.
  • - PyCharm is a simple and intuitive IDE for python development which supports various plugins and extension for additional features. - There is an in-built terminal, so the developer doesn't have to use an additional terminal, which in overall saves a lot of time when working on big projects. - Syntax highlighting, debugging and suggestions feature works seamlessly every time. - Even though it is especially crafted for python development, it also works like a charm with other programming languages.
  • - It is the best IDE to code on python. - The features are optimized and function every time. - The debugging features comes very handy in finding errors. - It can easily be used for developing big python projects or just to practice programming. - The community version, free to use.

Cons

  • 1. The syntax errors do not get stated clearly in the debug console.
  • - The startup is slow when opening a recent worked file. - Paid version is not affordable for most beginners.
  • 1. It takes a lot of system space during installation and consumes RAM while running.
  • - The startup of the application consumes a lot of system resources and takes more time at startup than other IDEs. - It is a bit expensive IDE for fresher developers who want to use it commercially.
  • - The IDE can be a bit too heavy on the RAM if the system has low specification, but, other than this, is not much con to talk about.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Anaconda
Founded: 2012
United States
www.anaconda.com/enterprise/

Company Information

JetBrains
Founded: 2000
Czech Republic
www.jetbrains.com/pycharm/

Alternatives

Alternatives

JetBrains Junie

JetBrains Junie

JetBrains
Refact.ai

Refact.ai

Refact AI

Categories

Categories

Machine Learning Features

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

DevOps Features

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

IDE Features

Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor

Integrations

Domino Enterprise AI Platform
Jovian
Jupyter Notebook
Python
Thunder Compute
Angular
Azure Data Science Virtual Machines
Claude Opus 4.1
Code Time
Code With Me
Coder
Django
Google Cloud Platform
JediTerm
Jit
Kilo Code Reviewer
OpenSCAP
Qodo
SonarQube for IDE
Zencoder

Integrations

Domino Enterprise AI Platform
Jovian
Jupyter Notebook
Python
Thunder Compute
Angular
Azure Data Science Virtual Machines
Claude Opus 4.1
Code Time
Code With Me
Coder
Django
Google Cloud Platform
JediTerm
Jit
Kilo Code Reviewer
OpenSCAP
Qodo
SonarQube for IDE
Zencoder
Claim Anaconda and update features and information
Claim Anaconda and update features and information
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