renpy-resources-viewer | Open .rpa , rpy and .rpyc files
kandi X-RAY | renpy-resources-viewer Summary
kandi X-RAY | renpy-resources-viewer Summary
renpy-resources-viewer is a Python library. renpy-resources-viewer has no vulnerabilities and it has low support. However renpy-resources-viewer has 2 bugs and it build file is not available. You can download it from GitHub.
Open .rpa, rpy and .rpyc files.
Open .rpa, rpy and .rpyc files.
Support
Quality
Security
License
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Support
renpy-resources-viewer has a low active ecosystem.
It has 12 star(s) with 3 fork(s). There are no watchers for this library.
It had no major release in the last 12 months.
renpy-resources-viewer has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of renpy-resources-viewer is v1.2.0
Quality
renpy-resources-viewer has 2 bugs (0 blocker, 0 critical, 0 major, 2 minor) and 63 code smells.
Security
renpy-resources-viewer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
renpy-resources-viewer code analysis shows 0 unresolved vulnerabilities.
There are 3 security hotspots that need review.
License
renpy-resources-viewer 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
renpy-resources-viewer releases are available to install and integrate.
renpy-resources-viewer has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
It has 4378 lines of code, 382 functions and 48 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed renpy-resources-viewer and discovered the below as its top functions. This is intended to give you an instant insight into renpy-resources-viewer implemented functionality, and help decide if they suit your requirements.
- Print a single child code
- Return the dispatch key
- Get the first line of a function
- Checks if the given node is a re - expression
- Saves the current archive to the given file
- Generate a random padding string
- Load a file
- Extract indexes
- Print a scene
- Print a screen
- Load a pickled file
- Visit arguments
- Print translatable strings
- Prints many children
- Prints a definition
- Print transform
- Print for a for loop
- Safely load a file
- Print style information
- Print a menu
- Removes a fake package from sys modules
- Print a label
- Visit import from import
- Print a USE statement
- Import a fake package
- Dumps the AST into a Python object
Get all kandi verified functions for this library.
renpy-resources-viewer Key Features
No Key Features are available at this moment for renpy-resources-viewer.
renpy-resources-viewer Examples and Code Snippets
# install dependencies
npm install
# serve with hot reload at localhost:9080
npm run dev
# build electron application for production
npm run build
# lint all JS/Vue component files in `src/`
npm run lint
Community Discussions
No Community Discussions are available at this moment for renpy-resources-viewer.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install renpy-resources-viewer
You can download it from GitHub.
You can use renpy-resources-viewer 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.
You can use renpy-resources-viewer 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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