pynetworktables | Pure python implementation of the FRC NetworkTables protocol
kandi X-RAY | pynetworktables Summary
kandi X-RAY | pynetworktables Summary
pynetworktables is a Python library. pynetworktables has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pynetworktables has a Non-SPDX License. You can install using 'pip install pynetworktables' or download it from GitHub, PyPI.
Pure python implementation of the FRC NetworkTables protocol
Pure python implementation of the FRC NetworkTables protocol
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Security
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pynetworktables has a low active ecosystem.
It has 58 star(s) with 32 fork(s). There are 10 watchers for this library.
It had no major release in the last 12 months.
There are 8 open issues and 50 have been closed. On average issues are closed in 225 days. There are 3 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of pynetworktables is 2021.0.0
Quality
pynetworktables has 0 bugs and 0 code smells.
Security
pynetworktables has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pynetworktables code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pynetworktables has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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pynetworktables releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
It has 7524 lines of code, 743 functions and 69 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed pynetworktables and discovered the below as its top functions. This is intended to give you an instant insight into pynetworktables implemented functionality, and help decide if they suit your requirements.
- Process an incoming entry assignment
- Get or create a new _Entry
- Send a notification
- Add an item to the queue
- Handles a handshake
- Set the state of the connection
- Adds the initial assignments to the queue
- Return ConnectionInfo
- Handle a client handshake
- Read messages from the stream
- Generate the sidebar
- Write this message to the given codec
- Main client thread
- Dispatches thread
- Thread main loop
- Main thread
- Get an RPC result from the queue
- Adds a listener to the table
- Stop the client
- Create RPC entry
- Process an incoming entry update
- Add a listener to the table
- Start listening for events
- Start the NetworkTables server
- Gets the value of a key in the network table
- Stop the network connection
Get all kandi verified functions for this library.
pynetworktables Key Features
No Key Features are available at this moment for pynetworktables.
pynetworktables Examples and Code Snippets
No Code Snippets are available at this moment for pynetworktables.
Community Discussions
No Community Discussions are available at this moment for pynetworktables.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pynetworktables
You can install using 'pip install pynetworktables' or download it from GitHub, PyPI.
You can use pynetworktables 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 pynetworktables 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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