https://github.com/datadvance/prpc

Bidirectional websocket RPC with data streaming
https://github.com/datadvance/prpc

network remote-execution rpc

Last synced: 6 months ago
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Bidirectional websocket RPC with data streaming

• Host: GitHub
• URL: https://github.com/datadvance/prpc
• Owner: datadvance
• License: mit
• Created: 2017-09-07T13:04:13.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2018-06-27T12:33:13.000Z (over 7 years ago)
• Last Synced: 2025-07-21T05:03:03.750Z (8 months ago)
• Topics: network, remote-execution, rpc
• Language: Python
• Size: 273 KB
• Stars: 8
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

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README

          
pRpc

=====

pRpc is a yet another python RPC library.

Key features:

* asyncio-based - no predefined threadpools etc.

  Concurrency is under your control.

* pRpc is symmetric - both peers may publish and call RPC methods

  regardless of who initially established the connection.

* Streaming support - each call may send and/or recieve a message stream

  in addition to arguments enabling efficient implementation of RPC calls

  like 'upload'/'download'.

* Binary serialization using msgpack ensures the low communication overhead.

* Can theoretically work over any message-based transport,

  but default implementation uses websockets as firewall-friendly solution.

  Using websockets also brings some nice demultiplexing features as you

  can publish different methods on different HTTP endpoints.

pRpc does not use any interface definition files. Such approach has

it's disadvantages but is natural for dynamic languages as python.

On the positive side, it eliminates a lot of complexity with code generation

tooling and using the generated code.

Reference documentation

-----------------------

`Hosted on GitHub Pages `_

Contributing

------------

This project is developed and maintained by DATADVANCE LLC. Please

submit an issue if you have any questions or want to suggest an

improvement.

Acknowledgements

----------------

This work is supported by the Russian Foundation for Basic Research

(project No. 15-29-07043).