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Playground Access PHP Ruby/Rails Python/Django SQL Other DB Fiddle [am]: Free & Paid No No No Yes MySQL, PostgreSQL, SQLite dbfiddle [an]: Free No No No Yes Db2, Firebird, MariaDB, MySQL, Node.js, Oracle, Postgres, SQL Server, SQLite, YugabyteDB
Yes (Memory debugger) Yes Proprietary: 2016.07, Nov 2016 Undo LiveRecorder: 1998 Source code and memory serial and parallel time travel debugger [2] C++, C, Go, Rust, Java Linux: Yes (Memory debugger) Yes Proprietary: 6.4, Apr 2022 Valgrind: 2007? tool suite for debugging and profiling Linux programs [3]
It is a complex tool that works with most common debuggers (GDB, jdb, Python debugger, Perl debugger, Tcl, and others) natively or with some external programs (for PHP). Many Eclipse perspectives, e.g. the Java Development Tools (JDT), [1] provide a debugger front-end. GDB (the GNU debugger) GUI
PyCharm is an integrated development environment (IDE) used for programming in Python. It provides code analysis, a graphical debugger, an integrated unit tester, integration with version control systems, and supports web development with Django. PyCharm is developed by the Czech company JetBrains and built on their IntelliJ platform. [4]
Jinja is a web template engine for the Python programming language.It was created by Armin Ronacher and is licensed under a BSD License.Jinja is similar to the Django template engine, but provides Python-like expressions while ensuring that the templates are evaluated in a sandbox.
Data Display Debugger (GNU DDD) is a graphical user interface (using the Motif toolkit) for command-line debuggers such as GDB, [2] DBX, JDB, HP Wildebeest Debugger, [note 1] XDB, the Perl debugger, the Bash debugger, the Python debugger, and the GNU Make debugger. [4]
It is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language. Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software. [4] [5]
It was released alongside PyPy 2.3.1 and bears the same version number. On 21 March 2017, the PyPy project released version 5.7 of both PyPy and PyPy3, with the latter introducing beta-quality support for Python 3.5. [25] On 26 April 2018, version 6.0 was released, with support for Python 2.7 and 3.5 (still beta-quality on Windows). [26]