ctfd-portable-challenges-plugin | adds functions for exporting/importing challenges

by tamuctf Python Version: Current License: No License

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

kandi X-RAY | ctfd-portable-challenges-plugin Summary

ctfd-portable-challenges-plugin is a Python library. ctfd-portable-challenges-plugin has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

A plugin for CTFd which adds functions for exporting/importing challenges from/to portable formats (currently YAML)

Support

Quality

Security

License

Reuse

Support

ctfd-portable-challenges-plugin has a low active ecosystem.

It has 12 star(s) with 10 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 5 have been closed. On average issues are closed in 90 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ctfd-portable-challenges-plugin is current.

Quality

ctfd-portable-challenges-plugin has 0 bugs and 0 code smells.

Security

ctfd-portable-challenges-plugin has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ctfd-portable-challenges-plugin code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ctfd-portable-challenges-plugin does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

ctfd-portable-challenges-plugin releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 4888 lines of code, 360 functions and 23 files.

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

Top functions reviewed by kandi - BETA

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

Import challenge files from file
Export all challenges to a file
Copy files from input files to destination directory
Represent a Python object
Represent the given data
Represent a mapping
Create a SequenceNode
Construct a timestamp from a YAML node
Recursively build a scalar object
Construct a float from a YAML node
Construct a YAML mapping from a YAML node
Constructs an object from a node
Construct YAML pairs
Emit events
Expect a mapping key
Represent a float value
Parse an implicit document start
Process command line arguments
Parse command line arguments
Parse the document end
Construct a YAML node
Adds an implicit resolver
Expect a sequence item
Construct a byte string from a node
Determine the encoding
Construct a mapping from the given node

Get all kandi verified functions for this library.

ctfd-portable-challenges-plugin Key Features

No Key Features are available at this moment for ctfd-portable-challenges-plugin.

ctfd-portable-challenges-plugin Examples and Code Snippets

No Code Snippets are available at this moment for ctfd-portable-challenges-plugin.

Community Discussions

No Community Discussions are available at this moment for ctfd-portable-challenges-plugin.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install ctfd-portable-challenges-plugin

You can download it from GitHub.
You can use ctfd-portable-challenges-plugin like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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