What is PyCharm and what are its top alternatives?
PyCharm is a popular Integrated Development Environment (IDE) for Python programming, offering features such as code analysis, debugging, and version control integration. It provides intelligent code completion, code navigation, and a visual debugger to streamline the development process. The IDE supports various frameworks and libraries, making it a versatile tool for Python developers. However, PyCharm can be resource-intensive and may have a steep learning curve for beginners.
- Visual Studio Code: Visual Studio Code is a lightweight and versatile code editor with powerful Python support through extensions. It offers features like IntelliSense, debugging support, and Git integration. Pros include a wide range of extensions and customizable settings, while cons may include occasional performance issues.
- Spyder: Spyder is an open-source IDE designed for scientific computing with Python. It includes features such as an interactive console, variable explorer, and a profiler. Pros include a user-friendly interface and built-in tools for data analysis, while cons may include limited support for web development.
- Atom: Atom is a customizable text editor with support for various programming languages, including Python. It offers features like easy navigation, a built-in package manager, and multiple panes for efficient coding. Pros include a large library of packages and themes, while cons may include occasional performance issues with large files.
- Jupyter Notebook: Jupyter Notebook is a web-based interactive computing platform that allows users to create and share documents containing live code, equations, visualizations, and narrative text. It is widely used for data science and machine learning projects. Pros include easy sharing of code and results, while cons may include limited support for traditional software development workflows.
- Sublime Text: Sublime Text is a sophisticated text editor for code, markup, and prose. It offers a distraction-free writing experience with powerful features like multiple selections, split editing, and a customizable interface. Pros include a fast and responsive performance, while cons may include a lack of built-in Python-specific tools compared to PyCharm.
- VS Python: VS Python is an extension for Visual Studio Code that provides Python support, including IntelliSense, debugging capabilities, and testing tools. It is developed by Microsoft and offers seamless integration with other Visual Studio Code features. Pros include a lightweight and fast IDE with extensive Python functionality, while cons may include fewer specialized Python features compared to PyCharm.
- Thonny: Thonny is a beginner-friendly Python IDE that focuses on simplicity and ease of use. It provides a clean interface, built-in support for debugging, and educational tools like step-through code execution. Pros include a straightforward setup and intuitive design for new programmers, while cons may include limited advanced features for experienced developers.
- Eclipse with PyDev: Eclipse is a popular IDE known for its extensibility, and PyDev is a plugin that adds Python support to Eclipse. It offers features like code analysis, debugging, and Django integration. Pros include a robust development environment with a wide range of plugins, while cons may include a potentially complex setup process compared to more lightweight IDEs.
- Komodo IDE: Komodo IDE is a professional integrated development environment for Python, PHP, JavaScript, and other programming languages. It offers features like code intelligence, debugging tools, and collaboration capabilities. Pros include a multi-language editor with a customizable interface, while cons may include a commercial license fee for full access to advanced features.
- Eric Python IDE: Eric Python IDE is a full-featured Python IDE written in Python. It offers features like an editor with syntax highlighting, integrated Python shell, and project management tools. Pros include cross-platform compatibility and extensibility through plugins, while cons may include a potentially less polished user interface compared to more mainstream IDEs.
Top Alternatives to PyCharm
- Atom
At GitHub, we're building the text editor we've always wanted. A tool you can customize to do anything, but also use productively on the first day without ever touching a config file. Atom is modern, approachable, and hackable to the core. We can't wait to see what you build with it. ...
- IntelliJ IDEA
Out of the box, IntelliJ IDEA provides a comprehensive feature set including tools and integrations with the most important modern technologies and frameworks for enterprise and web development with Java, Scala, Groovy and other languages. ...
- Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media. ...
- Visual Studio Code
Build and debug modern web and cloud applications. Code is free and available on your favorite platform - Linux, Mac OSX, and Windows. ...
- Anaconda
A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda. ...
- Eclipse
Standard Eclipse package suited for Java and plug-in development plus adding new plugins; already includes Git, Marketplace Client, source code and developer documentation. Click here to file a bug against Eclipse Platform. ...
- Spyder
It is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. ...
- Visual Studio
Visual Studio is a suite of component-based software development tools and other technologies for building powerful, high-performance applications. ...
PyCharm alternatives & related posts
- Free529
- Open source449
- Modular design343
- Hackable321
- Beautiful UI316
- Backed by github147
- Built with node.js119
- Web native113
- Community107
- Packages35
- Cross platform18
- Nice UI5
- Multicursor support5
- TypeScript editor5
- Open source, lots of packages, and so configurable3
- cli start3
- Simple but powerful3
- Chrome Inspector works IN EDITOR3
- Snippets3
- Code readability2
- It's powerful2
- Awesome2
- Smart TypeScript code completion2
- Well documented2
- works with GitLab1
- "Free", "Hackable", "Open Source", The Awesomness1
- full support1
- vim support1
- Split-Tab Layout1
- Apm publish minor1
- Consistent UI on all platforms1
- User friendly1
- Hackable and Open Source1
- Publish0
- Slow with large files19
- Slow startup7
- Most of the time packages are hard to find.2
- No longer maintained1
- Cannot Run code with F51
- Can be easily Modified1
related Atom posts
I liked Sublime Text for its speed, simplicity and keyboard shortcuts which synergize well when working on scripting languages like Ruby and JavaScript. I extended the editor with custom Python scripts that improved keyboard navigability such as autofocusing the sidebar when no files are open, or changing tab closing behavior.
But customization can only get you so far, and there were little things that I still had to use the mouse for, such as scrolling, repositioning lines on the screen, selecting the line number of a failing test stack trace from a separate plugin pane, etc. After 3 years of wearily moving my arm and hand to perform the same repetitive tasks, I decided to switch to Vim for 3 reasons:
- your fingers literally don’t ever need to leave the keyboard home row (I had to remap the escape key though)
- it is a reliable tool that has been around for more than 30 years and will still be around for the next 30 years
- I wanted to "look like a hacker" by doing everything inside my terminal and by becoming a better Unix citizen
The learning curve is very steep and it took me a year to master it, but investing time to be truly comfortable with my #TextEditor was more than worth it. To me, Vim comes close to being the perfect editor and I probably won’t need to switch ever again. It feels good to ignore new editors that come out every few years, like Atom and Visual Studio Code.
We use Visual Studio Code because it allows us to easily and quickly integrate with Git, much like Sublime Merge ,but it is integrated into the IDE. Another cool part about VS Code is the ability collaborate with each other with Visual Studio Live Share which allows our whole team to get more done together. It brings the convenience of the Google Suite to programming, offering something that works more smoothly than anything found on Atom or Sublime Text
- Fantastically intelligent301
- Best-in-class ide242
- Many languages support190
- Java158
- Fast121
- Code analysis82
- Reliable79
- Out of the box integration with maven, git, svn76
- Plugin architecture64
- Integrated version control61
- Code refactoring support12
- Best java IDE11
- Local history7
- Code Completion6
- Kotlin6
- Integrated Database Navigator6
- Built-in terminal/run tools6
- All5
- Free for open-source development, students and teacher5
- Base for Android Studio5
- Free If you're a Student5
- ERD Diagrams4
- Free4
- Cross platform4
- IDE4
- Database/Code integration4
- Out Of The Box features3
- Column Selection Mode3
- Server and client-side debugger3
- More than enough languages for any developer3
- Typescript support3
- Multicursor support3
- Reformating Code3
- Intuitive3
- Command-line tools3
- Android Integration3
- Vim support3
- Special icons for most filetypes in project list3
- Supports many frameworks3
- Built-in web server3
- Live Templates3
- Scala support3
- Works fine with mac os catalina2
- A lot of plugin2
- Just works2
- Integrated Ssh/Ftp Managers2
- Full support2
- Task managers2
- Diff tools2
- File Watchers2
- Support for various package managers2
- Integrated Code Linting2
- Clean UI2
- Open source2
- So modernised2
- Efficient, one Stop solution2
- Large footprint required to really enjoy (mem/disc)20
- Very slow16
- Bad for beginners8
- UI is not intuitive7
- Not nearly as many tools to integrate as vs code5
- Constant reindexing5
- Needs a lot of CPU and RAM power4
- Built in terminal is slow3
- Doesn't work that well with windows 10 edu3
- Ruby is a plug in1
- Pesky warnings increase with every release1
- AAD0
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UPDATE: Thanks for the great response. I am going to start with VSCode based on the open source and free version that will allow me to grow into other languages, but not cost me a license ..yet.
I have been working with software development for 12 years, but I am just beginning my journey to learn to code. I am starting with Python following the suggestion of some of my coworkers. They are split between Eclipse and IntelliJ IDEA for IDEs that they use and PyCharm is new to me. Which IDE would you suggest for a beginner that will allow expansion to Java, JavaScript, and eventually AngularJS and possibly mobile applications?
I am a QA heading to a new company where they all generally use Visual Studio Code, my experience is with IntelliJ IDEA and PyCharm. The language they use is JavaScript and so I will be writing my test framework in javaScript so the devs can more easily write tests without context switching.
My 2 questions: Does VS Code have Cucumber Plugins allowing me to write behave tests? And more importantly, does VS Code have the same refactoring tools that IntelliJ IDEA has? I love that I have easy access to a range of tools that allow me to refactor and simplify my code, making code writing really easy.
- In-line code execution using blocks19
- In-line graphing support11
- Can be themed8
- Multiple kernel support7
- LaTex Support3
- Best web-browser IDE for Python3
- Export to python code3
- HTML export capability2
- Multi-user with Kubernetes1
related Jupyter posts
From my point of view, both OpenRefine and Apache Hive serve completely different purposes. OpenRefine is intended for interactive cleaning of messy data locally. You could work with their libraries to use some of OpenRefine features as part of your data pipeline (there are pointers in FAQ), but OpenRefine in general is intended for a single-user local operation.
I can't recommend a particular alternative without better understanding of your use case. But if you are looking for an interactive tool to work with big data at scale, take a look at notebook environments like Jupyter, Databricks, or Deepnote. If you are building a data processing pipeline, consider also Apache Spark.
Edit: Fixed references from Hadoop to Hive, which is actually closer to Spark.
My process is like this: I would get data once a month, either from Google BigQuery or as parquet files from Azure Blob Storage. I have a script that does some cleaning and then stores the result as partitioned parquet files because the following process cannot handle loading all data to memory.
The next process is making a heavy computation in a parallel fashion (per partition), and storing 3 intermediate versions as parquet files: two used for statistics, and the third will be filtered and create the final files.
I make a report based on the two files in Jupyter notebook and convert it to HTML.
- Everything is done with vanilla python and Pandas.
- sometimes I may get a different format of data
- cloud service is Microsoft Azure.
What I'm considering is the following:
Get the data with Kafka or with native python, do the first processing, and store data in Druid, the second processing will be done with Apache Spark getting data from apache druid.
the intermediate states can be stored in druid too. and visualization would be with apache superset.
Visual Studio Code
- Powerful multilanguage IDE340
- Fast308
- Front-end develop out of the box193
- Support TypeScript IntelliSense158
- Very basic but free142
- Git integration126
- Intellisense106
- Faster than Atom78
- Better ui, easy plugins, and nice git integration53
- Great Refactoring Tools45
- Good Plugins44
- Terminal42
- Superb markdown support38
- Open Source36
- Extensions35
- Awesome UI26
- Large & up-to-date extension community26
- Powerful and fast24
- Portable22
- Best code editor18
- Best editor18
- Easy to get started with17
- Lots of extensions15
- Good for begginers15
- Crossplatform15
- Built on Electron15
- Extensions for everything14
- Open, cross-platform, fast, monthly updates14
- All Languages Support14
- Easy to use and learn13
- "fast, stable & easy to use"12
- Extensible12
- Ui design is great11
- Totally customizable11
- Git out of the box11
- Useful for begginer11
- Faster edit for slow computer11
- SSH support10
- Great community10
- Fast Startup10
- Works With Almost EveryThing You Need9
- Great language support9
- Powerful Debugger9
- It has terminal and there are lots of shortcuts in it9
- Can compile and run .py files8
- Python extension is fast8
- Features rich7
- Great document formater7
- He is not Michael6
- Extension Echosystem6
- She is not Rachel6
- Awesome multi cursor support6
- VSCode.pro Course makes it easy to learn5
- Language server client5
- SFTP Workspace5
- Very proffesional5
- Easy azure5
- Has better support and more extentions for debugging4
- Supports lots of operating systems4
- Excellent as git difftool and mergetool4
- Virtualenv integration4
- Better autocompletes than Atom3
- Has more than enough languages for any developer3
- 'batteries included'3
- More tools to integrate with vs3
- Emmet preinstalled3
- VS Code Server: Browser version of VS Code2
- CMake support with autocomplete2
- Microsoft2
- Customizable2
- Light2
- Big extension marketplace2
- Fast and ruby is built right in2
- File:///C:/Users/ydemi/Downloads/yuksel_demirkaya_webpa1
- Slow startup46
- Resource hog at times29
- Poor refactoring20
- Poor UI Designer13
- Weak Ui design tools11
- Poor autocomplete10
- Super Slow8
- Huge cpu usage with few installed extension8
- Microsoft sends telemetry data8
- Poor in PHP7
- It's MicroSoft6
- Poor in Python3
- No Built in Browser Preview3
- No color Intergrator3
- Very basic for java development and buggy at times3
- No built in live Preview3
- Electron3
- Bad Plugin Architecture2
- Powered by Electron2
- Terminal does not identify path vars sometimes1
- Slow C++ Language Server1
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I am starting to become a full-stack developer, by choosing and learning .NET Core for API Development, Angular CLI / React for UI Development, MongoDB for database, as it a NoSQL DB and Flutter / React Native for Mobile App Development. Using Postman, Markdown and Visual Studio Code for development.
Our first experience with .NET core was when we developed our OSS feature management platform - Tweek (https://github.com/soluto/tweek). We wanted to create a solution that is able to run anywhere (super important for OSS), has excellent performance characteristics and can fit in a multi-container architecture. We decided to implement our rule engine processor in F# , our main service was implemented in C# and other components were built using JavaScript / TypeScript and Go.
Visual Studio Code worked really well for us as well, it worked well with all our polyglot services and the .Net core integration had great cross-platform developer experience (to be fair, F# was a bit trickier) - actually, each of our team members used a different OS (Ubuntu, macos, windows). Our production deployment ran for a time on Docker Swarm until we've decided to adopt Kubernetes with almost seamless migration process.
After our positive experience of running .Net core workloads in containers and developing Tweek's .Net services on non-windows machines, C# had gained back some of its popularity (originally lost to Node.js), and other teams have been using it for developing microservices, k8s sidecars (like https://github.com/Soluto/airbag), cli tools, serverless functions and other projects...
Anaconda
related Anaconda posts
Which one of these should I install? I am a beginner and starting to learn to code. I have Anaconda, Visual Studio Code ( vscode recommended me to install Git) and I am learning Python, JavaScript, and MySQL for educational purposes. Also if you have any other pro-tips or advice for me please share.
Yours thankfully, Darkhiem
I am going to learn machine learning and self host an online IDE, the tool that i may use is Python, Anaconda, various python library and etc. which tools should i go for? this may include Java development, web development. Now i have 1 more candidate which are visual studio code online (code server). i will host on google cloud
- Does it all131
- Integrates with most of tools76
- Easy to use64
- Java IDE63
- Best Java IDE32
- Open source9
- Hard for newbews3
- Great gdb integration2
- Professional2
- Good Git client allowing direct stage area edit2
- True open source with huge contribution2
- Great code suggestions2
- Extensible2
- Lightweight2
- Works with php0
- 2000 Design14
- Bad performance9
- Hard to use4
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UPDATE: Thanks for the great response. I am going to start with VSCode based on the open source and free version that will allow me to grow into other languages, but not cost me a license ..yet.
I have been working with software development for 12 years, but I am just beginning my journey to learn to code. I am starting with Python following the suggestion of some of my coworkers. They are split between Eclipse and IntelliJ IDEA for IDEs that they use and PyCharm is new to me. Which IDE would you suggest for a beginner that will allow expansion to Java, JavaScript, and eventually AngularJS and possibly mobile applications?
Have been a Visual Studio Code user since just after launch to the general public, having used the likes of Eclipse and Atom previously. Was amazed how mature it seemed off the bat and was super intrigued by the bootstrapped nature of it having been written/based on Electron/TypeScript, and of course being an open-source app from Microsoft. The features, plugin ecosystem and release frequency are very impressive. I do dev work on both Mac and Windows and don't use anything else now as far as IDEs go.
- Variable Explorer6
- More tools for Python2
- Free with anaconda2
- Intellisense1
- Slow to fire up1
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Visual Studio
- Intellisense, ui305
- Complete ide and debugger244
- Plug-ins165
- Integrated104
- Documentation93
- Fast37
- Node tools for visual studio (ntvs)35
- Free Community edition33
- Simple24
- Bug free17
- Made by Microsoft8
- Full free community version6
- JetBrains plugins (ReSharper etc.) work sufficiently OK5
- Productivity Power Tools3
- Vim mode2
- VIM integration2
- I develop UWP apps and Intellisense is super useful1
- Cross platform development1
- The Power and Easiness to Do anything in any.. language1
- Available for Mac and Windows1
- Bulky16
- Made by Microsoft14
- Sometimes you need to restart to finish an update6
- Too much size for disk3
- Only avalible on Windows3
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I use C# because of the ease of designing user interfaces compared to Java. Using Visual Studio makes C# a breeze for prototyping and creating apps and I really appreciate how quickly I can turn an idea into reality. I was first introduced to C# in a special topics course and quickly started preferring it over Java. The similarities between the two made the switch easy while the added benefits C# offers made it very worth it.
I use TypeScript because it greatly simplify my refactoring efforts. I regularly re-validate my assumption about application architecture, and strictness of types allow me write make changes safely using just Visual Studio tooling. Integration with existing JavaScript libraries very simple and fast. If I have no time, I could just use any
type as output of JS module. When I have more time, I could just submit PR to DefinitelyTyped and it would be quickly accepted. Overall it gives less ambiguity for my code.