by Open Weaver kits ✔ Updated: Jun 30, 2022
Python Service mesh libraries are used to handle communication between services, in order to guarantee that the required data is always available for the next service request. Python Service mesh libraries like streamlink, service-streamer, meshmash and bert-as-service are used to deploy microservices in a distributed architecture. The Python Service Mesh ecosystem is growing. There are many different tools and libraries available to build your own service mesh. Meshmash uses netlink sockets to allow for an abstraction on top of TCP sockets. Service-streamer uses libtorrent and ZeroMQ as backends for its network protocol. Streamlink uses ZeroMQ as the network protocol and optionally libtorrent as a backend. Service-streamer-as-service is a proxy server based on libtorrent but with additional features like load balancing and capacity planning. Some of the most popular Python Service mesh libraries among developers are
Python 9373 Version:v1.8.1
Python 9373 Version:v1.8.1 License: Permissive (MIT)
Python 8304 Version:5.1.2
Python 8304 Version:5.1.2 License: Permissive (BSD-2-Clause)
Python 3785 Version:v4.7.3
Python 3785 Version:v4.7.3 License: Permissive (Apache-2.0)
Python 1113 Version:Current
Python 1113 Version:Current License: Permissive (Apache-2.0)
Python 6 Version:v0.1.0
Python 6 Version:v0.1.0 License: Permissive (Apache-2.0)
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