Free programmers from python debugging and redefined

Cyberbrain

Cyberbrain aims to free programmers from debugging. It lets you:

• Backtraces variable changes.

• See every state of program execution, including variables' values

• Debug loops with confidence.

Never spend hours stepping through a program, let Cyberbrain tell you what happened.

Install

Cyberbrain consists of a Python library and various editor/IDE integrations. Currently it supports VS Code. See our plan on expanding the support.

To install Cyberbrain:

pip install cyberbrain
code --install-extension laike9m.cyberbrain

You can also install from PyPI, VS Code marketplace.

How to Use

Suppose you want to trace a function foo, just decorate it with @trace:

from cyberbrain import trace

# As of now, you can only have one @trace decorator in the whole program.
# We may change this in version 2.0, see https://github.com/laike9m/Cyberbrain/discussions/73

@trace  # Disable tracing with `@trace(disabled=True)`
def foo():
    ...

Cyberbrain keeps your workflow unchanged. You run a program (from vscode or command line, both work), and a new panel will be opened to visualize how your program executed.

The following gif demonstrates the workflow (click to view the full size image):

❗Note on use❗

• Cyberbrain may conflict with other debuggers. If you set breakpoints and use VSC's debugger, Cyberbrain may not function normally. Generally speaking, prefer "Run Without Debugging" (like shown in the gif).
• If you have multiple VS Code window opened, the trace graph will always be created in the first one. #72 is tracking this issue.
• When having multiple decorators, you should put @trace as the innermost one.

  @app.route("/")
  @trace
  def hello_world():
      x = [1, 2, 3]
      return "Hello, World!"
  

Roadmaps

Updated 2020.11

Cyberbrain is new and under active development, bugs are expected. If you met any, please create an issue. At this point, you should NOT use Cyberbrain in production. We'll release 1.0 when it's ready for production.

Major features planned for future versions are listed below. It may change over time.

Visit the project's kanban to learn more about the current development schedule.

GitHub