smart_login | login methods of major websites
kandi X-RAY | smart_login Summary
kandi X-RAY | smart_login Summary
smart_login is a Python library. smart_login has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However smart_login build file is not available. You can download it from GitHub.
The login methods of major websites, some log in through selenium, and some directly simulate login through packet capture (for energy reasons, no longer continue to maintain at present)
The login methods of major websites, some log in through selenium, and some directly simulate login through packet capture (for energy reasons, no longer continue to maintain at present)
Support
Quality
Security
License
Reuse
Support
smart_login has a medium active ecosystem.
It has 1005 star(s) with 377 fork(s). There are 67 watchers for this library.
It had no major release in the last 6 months.
There are 13 open issues and 12 have been closed. On average issues are closed in 101 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of smart_login is current.
Quality
smart_login has 0 bugs and 7 code smells.
Security
smart_login has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
smart_login code analysis shows 0 unresolved vulnerabilities.
There are 26 security hotspots that need review.
License
smart_login 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
smart_login releases are not available. You will need to build from source code and install.
smart_login has no build file. You will be need to create the build yourself to build the component from source.
smart_login saves you 353 person hours of effort in developing the same functionality from scratch.
It has 843 lines of code, 54 functions and 16 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed smart_login and discovered the below as its top functions. This is intended to give you an instant insight into smart_login implemented functionality, and help decide if they suit your requirements.
- Logout a user
- Verify code verification
- Decode a file
- Get post headers
- Check if source is a login
- Logs into the session
- Get captcha
- Calculate the HMAC signature
- Get the token from the session
- Verify code
- Get a token
- Extract login arguments from html
- Get public RSA key
- Get login data
- Return the redirect URL
- Calls get_pass method
- Returns the time stamp of a file
- Get the authentication token
- Get pre login info from pre login url
- Convert a sele element into a dict
- Login to url
- Encrypts a password
Get all kandi verified functions for this library.
smart_login Key Features
No Key Features are available at this moment for smart_login.
smart_login Examples and Code Snippets
No Code Snippets are available at this moment for smart_login.
Community Discussions
No Community Discussions are available at this moment for smart_login.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install smart_login
You can download it from GitHub.
You can use smart_login 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 smart_login 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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