DebugBear
DebugBear is a debugging and profiling tool for Python. It allows developers to visually step through code, set breakpoints, inspect variables, and measure performance. Useful for identifying bugs and optimizing code.
python
debugging
profiling
visualization
DebugBear: Python Debugging & Profiling Tool
DebugBear is a debugging and profiling tool for Python. It allows developers to visually step through code, set breakpoints, inspect variables, and measure performance. Useful for identifying bugs and optimizing code.
What is DebugBear?
DebugBear is an integrated development environment focused on debugging and profiling Python code. It provides a rich graphical interface for stepping through code line-by-line, setting breakpoints, and inspecting the values of variables and expressions.
Key features of DebugBear include:
- Step debugger with ability to step into functions to understand complex code execution flows
- Interactive debugging console for evaluating code snippets and expressions
- Graphical variable explorer showing values of objects and data structures
- Breakpoints with conditionals and ignore counts
- Built-in profiling for identifying performance bottlenecks
- Memory and coverage analysis
- Integrated unit testing
- Git integration
DebugBear aims to accelerate debugging and prototyping by allowing developers to understand and diagnose problems quickly. Its visual tools provide insight into the runtime state of Python code. Profiling helps locate inefficient code. For these reasons, DebugBear can boost developer productivity and code quality.
DebugBear Features
Features
- Visual code stepping and debugging
- Breakpoint management
- Variable inspection
- Performance profiling
- Detailed call stack and execution timeline
Pricing
- Freemium
- Subscription-Based
Pros
Provides a visual and interactive way to debug and profile Python code
Helps identify performance bottlenecks and optimize code
Supports a wide range of Python frameworks and libraries
Integrates with popular IDEs like Visual Studio Code and PyCharm
Cons
Limited to Python development, not applicable for other programming languages
May have a learning curve for developers not familiar with visual debugging tools
Potential performance overhead during profiling and debugging
Official Links
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