tornado-sessions | Simple session handling for Tornado
kandi X-RAY | tornado-sessions Summary
kandi X-RAY | tornado-sessions Summary
tornado-sessions is a Python library. tornado-sessions has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However tornado-sessions build file is not available. You can download it from GitHub.
Tornado sessions is a basic system for handling session data stored in Redis. A secure cookie on the client stores the session id, which maps to a hash of pickled data in redis. Handlers inheriting from SessionHandler or methods wrapped by @sessionare session aware, with a self.session object that can be accessed as a dict, which is saved on handler finish.
Tornado sessions is a basic system for handling session data stored in Redis. A secure cookie on the client stores the session id, which maps to a hash of pickled data in redis. Handlers inheriting from SessionHandler or methods wrapped by @sessionare session aware, with a self.session object that can be accessed as a dict, which is saved on handler finish.
Support
Quality
Security
License
Reuse
Support
tornado-sessions has a low active ecosystem.
It has 7 star(s) with 2 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
tornado-sessions has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of tornado-sessions is current.
Quality
tornado-sessions has 0 bugs and 0 code smells.
Security
tornado-sessions has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
tornado-sessions code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
tornado-sessions 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
tornado-sessions releases are not available. You will need to build from source code and install.
tornado-sessions 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.
Top functions reviewed by kandi - BETA
kandi has reviewed tornado-sessions and discovered the below as its top functions. This is intended to give you an instant insight into tornado-sessions implemented functionality, and help decide if they suit your requirements.
- Decorator to setup session
- Setup session
- Load data from the cache
- Returns a Session object for the given id
- Set the value of the pipe
- Saves the current pipeline state
- Save session
- Handle POST requests
- Clears the cache
- Prepare session
- Save current session
Get all kandi verified functions for this library.
tornado-sessions Key Features
No Key Features are available at this moment for tornado-sessions.
tornado-sessions Examples and Code Snippets
No Code Snippets are available at this moment for tornado-sessions.
Community Discussions
No Community Discussions are available at this moment for tornado-sessions.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tornado-sessions
You can download it from GitHub.
You can use tornado-sessions 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 tornado-sessions 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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