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protoc-plugin
Here are 21 public repositories matching this topic...
gRPC Kotlin Coroutines, Protobuf DSL, Scripting for Protoc
kotlin
protobuf
protocol-buffers
coroutines
grpc
code-generation
kotlin-script
kotlin-coroutines
grpc-java
protoc-plugin
protoc-grpc-plugin
grpc-kotlin
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Feb 4, 2020 - Kotlin
GRPC SQL and Spanner persistence layer
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Jun 24, 2019 - Go
2
tooolbox
commented
Nov 10, 2019
The plugins package has some decent documentation, but I can't tell how it's actually intended to be used. Could you create an example, perhaps in plugins/README.md?
As an idea, what if I wanted to codegen a copy of the structs created by protoc-gen-go, but with different struct tags? How would that look? I get a little taste of it
protoc plugin to generate to Go's net/http converter
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Feb 5, 2020 - Go
A starter kit for building protoc plugins. Rather than write your own, you can just use an existing one.
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Oct 14, 2019 - Go
Conjures up convenient OCaml types and serialization functions based on protobuf definition files
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Oct 26, 2019 - OCaml
A protoc compiler plugin for Clojure applications
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Apr 28, 2020 - Clojure
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Dec 18, 2018 - Shell
EXPERIMENTAL work to automatically generate graphql server as aggregate server to serve gRPC backed service
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Apr 5, 2020 - Go
Protoc plugin that generates python stubs
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Jul 26, 2018 - Python
A protoc plugin that generates beautiful API references
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Jun 4, 2019 - Go
A grpc-web implementation that uses the fetch API (or XMLHTTPRequest)
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Apr 21, 2020 - JavaScript
protoc-gen-openapi is a plugin for the Google protocol buffer compiler to generate openAPI V3 spec for any given input protobuf.
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Sep 7, 2019 - Go
avro-protobuf in Go
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Jan 19, 2020 - Go
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Aug 14, 2019 - Go
Senbei (煎餅, 🍘 ) is a protocol buffers' third party plugin for generating gRPC cli snippets
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Jan 3, 2019 - Go
protoc-gen-bazel is a Bazel build file generator which generates typescript code from protocol buffers
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Jan 4, 2019 - Python
A protoc plugin to generate code that implements uber-go/zap zapcore.ObjectMarshaler
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Apr 4, 2020 - Go
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As discussed in #217, the implementation of UUID matching is sub-optimal because it uses a hard coded constant regex string passed to a regex library. Significant performance gains can be achieved by replacing constant regex expressions with bespoke state machines.
This work is worth doing because UUIDs are so common in distributed systems and PGV sits on the hot path of every service request.