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PyCharm: JetBrains 2024.3.2 2025-01-28 Windows, Linux, macOS: Java, Python: Swing: Open core: Full version under Apache License 2.0: Yes Yes Yes Unknown Yes Yes (full version only) Yes (full version only) Yes Yes PEP 8 and others Yes Yes Yes Yes Yes PyDev / LiClipse (plug-in for Eclipse and Aptana) Appcelerator: 7.5.0 2020-01-10
Continuous Code inspection, reports on quality and security issues, helps understand complex code (cross-references, source code documentation, code comparison, code performance analysis). Visual Studio: 2021-10-12 (16.11) No; proprietary — C, C++, C# — — — — VB.NET
The following tables describe attributes of notable version control and software configuration management (SCM) systems that can be used to compare and contrast the various systems. For SCM software not suitable for source code, see Comparison of open-source configuration management software.
Name Platform License Builders: Windows Builders: Java Builders: other Notification Integration, IDEs Integration, other Apache Gump: Python: Apache 2.0 : Unknown Ant, Maven 1 : Unknown
I'm a PyCharm user and I won't probably be changing editors anytime soon, but with all the hype around VS Code and so many people over Reddit and Twitter suggesting me the switch, I had to try it.
Visual Studio Code was first announced on April 29, 2015, by Microsoft at the 2015 Build conference. A preview build was released shortly thereafter. [13]On November 18, 2015, the project "Visual Studio Code — Open Source" (also known as "Code — OSS"), on which Visual Studio Code is based, was released under the open-source MIT License and made available on GitHub.
Visual Studio Team System Profiler (VSTS Profiler) is a tool to analyze the performance of .NET projects that analyzes the space and time complexity of the program. [255] It analyzes the code and prepares a report that includes CPU sampling, instrumentation, .NET memory allocation and resource contention .
The Computer Language Benchmarks Game site warns against over-generalizing from benchmark data, but contains a large number of micro-benchmarks of reader-contributed code snippets, with an interface that generates various charts and tables comparing specific programming languages and types of tests.