BaiduYunToAliYun | Synchronize Baidu cloud network disk to Alibaba cloud
kandi X-RAY | BaiduYunToAliYun Summary
kandi X-RAY | BaiduYunToAliYun Summary
BaiduYunToAliYun is a Python library. BaiduYunToAliYun has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Synchronize Baidu cloud network disk to Alibaba cloud
Synchronize Baidu cloud network disk to Alibaba cloud
Support
Quality
Security
License
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Support
BaiduYunToAliYun has a low active ecosystem.
It has 601 star(s) with 114 fork(s). There are 10 watchers for this library.
It had no major release in the last 12 months.
There are 20 open issues and 13 have been closed. On average issues are closed in 42 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of BaiduYunToAliYun is 2021.7.22.1
Quality
BaiduYunToAliYun has 0 bugs and 0 code smells.
Security
BaiduYunToAliYun has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
BaiduYunToAliYun code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
BaiduYunToAliYun 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
BaiduYunToAliYun releases are available to install and integrate.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
It has 490 lines of code, 45 functions and 5 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed BaiduYunToAliYun and discovered the below as its top functions. This is intended to give you an instant insight into BaiduYunToAliYun implemented functionality, and help decide if they suit your requirements.
- Command - line entry point
- Resets the counts of the results
- Start an async path
- Check if login is login
- Login with cookies
- Downs the stream down
- Get a stream of data for a given range
- Read part of stream
- Returns the file stream for the given offset
- Upload a link to a local file
- Format remote path
- Return the path id associated to a remote path
- List file attr
- Download a file
- List file attributes
- Helper function to handle API calls
- Start the progress bar
- Upload a file
- Returns the text value of the given tag name
- Marks a file as complete
- Tries to upload parts
- Check if a file exists
- Assign fileAttrs to file
- Gets an item by name
- Print all choices
- Login cookies
- Print the latest version
Get all kandi verified functions for this library.
BaiduYunToAliYun Key Features
No Key Features are available at this moment for BaiduYunToAliYun.
BaiduYunToAliYun Examples and Code Snippets
No Code Snippets are available at this moment for BaiduYunToAliYun.
Community Discussions
No Community Discussions are available at this moment for BaiduYunToAliYun.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install BaiduYunToAliYun
You can download it from GitHub.
You can use BaiduYunToAliYun 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 BaiduYunToAliYun 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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