proposal VS grpc-proto

Compare proposal vs grpc-proto and see what are their differences.

grpc-proto

gRPC-defined protobufs for peripheral services such as health checking, load balancing, etc. (by grpc)
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proposal grpc-proto
5 1
697 235
2.3% 1.7%
7.5 6.6
3 days ago 7 days ago
Starlark
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

proposal

Posts with mentions or reviews of proposal. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-06.

grpc-proto

Posts with mentions or reviews of grpc-proto. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-06.

What are some alternatives?

When comparing proposal and grpc-proto you can also consider the following projects:

ngx-grpc - Angular gRPC framework

grpc-go - The Go language implementation of gRPC. HTTP/2 based RPC

kill-zscaler - Kill Zscaler without password or jail Zscaler in a virtual machine

gRPC - The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)

HTTP Parser - http request/response parser for c

grpc-kuber-load-balancing - gRPC Name Resolution and Load Balancing on Kubernetes

membrane_core - The core of the Membrane Framework, advanced multimedia processing framework

pixie - Instant Kubernetes-Native Application Observability

re - Recursive search and replace tool

natter - [EXPERIMENTAL] A peer-to-peer TCP port forwarding library using NAT traversal with QUIC

grpc-web - gRPC for Web Clients

erde - Geospatial python toolkit: common functions, easy CLI creation, dataframes streams