python-mpv-jsonipc | Python API to MPV using JSON IPC

by iwalton3 Python Version: 1.2.0 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | python-mpv-jsonipc Summary

python-mpv-jsonipc is a Python library. python-mpv-jsonipc has no bugs, it has no vulnerabilities, it has build file available and it has low support. However python-mpv-jsonipc has a Non-SPDX License. You can install using 'pip install python-mpv-jsonipc' or download it from GitHub, PyPI.

This implements an interface similar to python-mpv, but it uses the JSON IPC protocol instead of the C API. This means you can control external instances of MPV including players like SMPlayer, and it can use MPV players that are prebuilt instead of needing libmpv1. It may also be more resistant to crashes such as Segmentation Faults, but since it isn't directly communicating with MPV via the C API the performance will be worse. Please note that this only implements the subset of python-mpv that is used by plex-mpv-shim and jellyfin-mpv-shim. Other functionality has not been implemented.

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Quality

Security

License

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Support

python-mpv-jsonipc has a low active ecosystem.

It has 39 star(s) with 4 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 8 have been closed. On average issues are closed in 77 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of python-mpv-jsonipc is 1.2.0

Quality

python-mpv-jsonipc has 0 bugs and 0 code smells.

Security

python-mpv-jsonipc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

python-mpv-jsonipc code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

python-mpv-jsonipc 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.

Reuse

python-mpv-jsonipc 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.

Installation instructions are not available. Examples and code snippets are available.

It has 437 lines of code, 50 functions and 2 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed python-mpv-jsonipc and discovered the below as its top functions. This is intended to give you an instant insight into python-mpv-jsonipc implemented functionality, and help decide if they suit your requirements.

Wait for a property
Bind a property observer
Execute a command
Remove a property observer
Registers an event callback
Decorator to bind an event
Bind an event
Decorator to register a key press
Register a callback for keypress
Close the thread
Terminate the process
Handle callback
Put a task into the queue
Decorator to register a property observer
Get a command wrapper

Get all kandi verified functions for this library.

python-mpv-jsonipc Key Features

No Key Features are available at this moment for python-mpv-jsonipc.

python-mpv-jsonipc Examples and Code Snippets

No Code Snippets are available at this moment for python-mpv-jsonipc.

Community Discussions

No Community Discussions are available at this moment for python-mpv-jsonipc.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install python-mpv-jsonipc

You can install using 'pip install python-mpv-jsonipc' or download it from GitHub, PyPI.
You can use python-mpv-jsonipc 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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