dragonflow | SDN based Distributed Virtual Router for OpenStack Neutron
kandi X-RAY | dragonflow Summary
kandi X-RAY | dragonflow Summary
dragonflow is a Python library. dragonflow has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
RETIRED, SDN based Distributed Virtual Router for OpenStack Neutron. Mirror of code maintained at opendev.org.
RETIRED, SDN based Distributed Virtual Router for OpenStack Neutron. Mirror of code maintained at opendev.org.
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Quality
Security
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Support
dragonflow has a low active ecosystem.
It has 124 star(s) with 57 fork(s). There are 36 watchers for this library.
It had no major release in the last 6 months.
dragonflow has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of dragonflow is current.
Quality
dragonflow has 0 bugs and 0 code smells.
Security
dragonflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
dragonflow code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
dragonflow is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
dragonflow 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.
dragonflow saves you 16573 person hours of effort in developing the same functionality from scratch.
It has 32945 lines of code, 2859 functions and 298 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed dragonflow and discovered the below as its top functions. This is intended to give you an instant insight into dragonflow implemented functionality, and help decide if they suit your requirements.
- Load libramcloud
- Return the path to the library
- Listen for events
- Update redis client
- Handle an incoming event
- Unpack a message from msgpack
- Process migration event
- Get the object
- Fetch object from database
- Decorator to construct model class
- Generate ICMP packet
- Return list columns and formatters from objs
- Called when a port group is updated
- Update a BGP speaker
- Called when port chain is updated
- Event handler for switch features events handler
- Iterate over all the models in the given order
- Process packet in event
- Pretty print a dictionary
- Register a model
- Called when a local lport is created
- Adds an update command to subparser
- Install encap flows
- Called when a local lport is deleted
- Update the port after commit
- Update the object
Get all kandi verified functions for this library.
dragonflow Key Features
No Key Features are available at this moment for dragonflow.
dragonflow Examples and Code Snippets
No Code Snippets are available at this moment for dragonflow.
Community Discussions
No Community Discussions are available at this moment for dragonflow.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install dragonflow
You can download it from GitHub.
You can use dragonflow 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 dragonflow 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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