Cyberbrain | Python debugging | Code Inspection library

by laike9m Python Version: 0.2.3 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Cyberbrain Summary

Cyberbrain is a Python library typically used in Code Quality, Code Inspection applications. Cyberbrain has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However Cyberbrain build file is not available. You can install using 'pip install Cyberbrain' or download it from GitHub, PyPI.

Cyberbrain1(电子脑) aims to free programmers from debugging. It lets you:. Never spend hours stepping through a program, let Cyberbrain tell you what happened. Read more about existing features, and roadmaps for features to come.

Support

Quality

Security

License

Reuse

Support

Cyberbrain has a medium active ecosystem.

It has 2402 star(s) with 152 fork(s). There are 34 watchers for this library.

It had no major release in the last 12 months.

There are 37 open issues and 65 have been closed. On average issues are closed in 24 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Cyberbrain is 0.2.3

Quality

Cyberbrain has 0 bugs and 0 code smells.

Security

Cyberbrain has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Cyberbrain code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Cyberbrain is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Cyberbrain releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Cyberbrain has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Cyberbrain saves you 1907 person hours of effort in developing the same functionality from scratch.

It has 3658 lines of code, 405 functions and 87 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed Cyberbrain and discovered the below as its top functions. This is intended to give you an instant insight into Cyberbrain implemented functionality, and help decide if they suit your requirements.

Handles instructions .
Logs events to the stack .
Decorator to decorate a function .
Given an event return a list of source ids .
Parse command line arguments .
Emits an event .
Gets the end of the block .
Determines if the instruction is a jump instruction .
Run the experiment .
Return the verse of the given day .

Get all kandi verified functions for this library.

Cyberbrain Key Features

No Key Features are available at this moment for Cyberbrain.

Cyberbrain Examples and Code Snippets

No Code Snippets are available at this moment for Cyberbrain.

Community Discussions

Trending Discussions on Cyberbrain

mamba fails to create env

QUESTION

mamba fails to create env

Asked 2021-Aug-04 at 05:11

I had just installed Anaconda from anaconda.com. The installation proceeded smoothly. After that, I was trying to create a new environment from this environment.yml file. (nbdev.yml)

...

ANSWER

Answered 2021-Aug-04 at 05:11

After a lot of research, I stumbled on to Mamba doesn't find a solution when mixing conda forge defaults and not specifying Python explicitly 1102. So I just edited nbdev.yml from

Source https://stackoverflow.com/questions/68645697

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Cyberbrain

Cyberbrain consists of a Python library and various editor/IDE integrations. Currently it supports VS Code and Gitpod. See our plan on expanding the support. You can also install from PyPI , VS Code marketplace or Open VSX .

Support

💬 GitHub Discussions (for general discussions)🤖 Discord (for more instant discussions. I'm happy to chat any time!)🐦 Twitter @PyCyberbrain (for announcements)

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