6 best Python Service mesh libraries in 2023
by Open Weaver kits ✔ Updated: Mar 3, 2023
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
Mapping a variable-length sentence to a fixed-length vector using BERT model
Python 9373 Version:v1.8.1 License: Permissive (MIT)
Streamlink is a CLI utility which pipes video streams from various services into a video player
Python 8682 Version:5.5.1 License: Permissive (BSD-2-Clause)
Python client library for Google Maps API Web Services
Python 3963 Version:v4.10.0 License: Permissive (Apache-2.0)
Boosting your Web Services of Deep Learning Applications.
Python 1135 Version:Current License: Permissive (Apache-2.0)
Very simplified mesh service injector and monitoring for Rest deployment inside a K8S cluster.
Python 6 Version:v0.1.0 License: Permissive (Apache-2.0)