Convert Figma logo to code with AI

protobuf-net logoprotobuf-net

Protocol Buffers library for idiomatic .NET

4,628
1,047
4,628
506

Top Related Projects

65,113

Protocol Buffers - Google's data interchange format

41,549

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

10,310

Apache Thrift

6,953

MessagePack is an extremely efficient object serialization library. It's like JSON, but very fast and small.

Quick Overview

protobuf-net is a .NET implementation of Protocol Buffers, Google's data interchange format. It provides a fast and efficient way to serialize and deserialize structured data in .NET applications, with compatibility across different platforms and languages that support Protocol Buffers.

Pros

  • High performance serialization and deserialization
  • Cross-platform compatibility with other Protocol Buffers implementations
  • Supports both runtime and compile-time code generation
  • Seamless integration with existing .NET types and attributes

Cons

  • Learning curve for developers unfamiliar with Protocol Buffers
  • Limited support for dynamic types compared to some other serialization formats
  • May require additional configuration for complex scenarios
  • Slightly larger message size compared to hand-optimized binary formats

Code Examples

  1. Defining a message type:
[ProtoContract]
public class Person
{
    [ProtoMember(1)]
    public int Id { get; set; }

    [ProtoMember(2)]
    public string Name { get; set; }

    [ProtoMember(3)]
    public string Email { get; set; }
}
  1. Serializing an object:
Person person = new Person { Id = 1, Name = "John Doe", Email = "john@example.com" };
using (var stream = new MemoryStream())
{
    Serializer.Serialize(stream, person);
    byte[] data = stream.ToArray();
}
  1. Deserializing an object:
using (var stream = new MemoryStream(data))
{
    Person deserializedPerson = Serializer.Deserialize<Person>(stream);
}
  1. Using a custom serializer:
var model = RuntimeTypeModel.Create();
model.Add(typeof(Person), false).Add(1, "Id").Add(2, "Name").Add(3, "Email");

using (var stream = new MemoryStream())
{
    model.Serialize(stream, person);
    byte[] data = stream.ToArray();
}

Getting Started

  1. Install the NuGet package:

    dotnet add package protobuf-net
    
  2. Add the necessary using statement:

    using ProtoBuf;
    
  3. Define your message types using the [ProtoContract] and [ProtoMember] attributes.

  4. Use the Serializer class to serialize and deserialize objects:

    byte[] data = Serializer.Serialize(myObject);
    MyType deserializedObject = Serializer.Deserialize<MyType>(data);
    

Competitor Comparisons

65,113

Protocol Buffers - Google's data interchange format

Pros of protobuf

  • Official implementation by Google, ensuring compatibility and up-to-date features
  • Supports multiple programming languages, enabling cross-platform development
  • Extensive documentation and community support

Cons of protobuf

  • More complex setup and usage compared to protobuf-net
  • Requires separate compilation step for generating code from .proto files
  • Steeper learning curve for developers new to Protocol Buffers

Code Comparison

protobuf:

syntax = "proto3";
message Person {
  string name = 1;
  int32 age = 2;
}

protobuf-net:

[ProtoContract]
public class Person {
    [ProtoMember(1)]
    public string Name { get; set; }
    [ProtoMember(2)]
    public int Age { get; set; }
}

protobuf-net offers a more C#-native approach with attributes, while protobuf requires a separate .proto file and code generation step. protobuf provides broader language support, but protobuf-net integrates more seamlessly with .NET development workflows. Choose based on your specific project requirements and development ecosystem.

41,549

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

Pros of gRPC

  • Full-featured RPC framework with built-in support for streaming, authentication, and load balancing
  • Language-agnostic, supporting multiple programming languages out of the box
  • Highly performant due to its use of HTTP/2 and efficient binary serialization

Cons of gRPC

  • Steeper learning curve and more complex setup compared to simpler serialization libraries
  • Requires more infrastructure and tooling support, especially for browser-based applications
  • Less flexibility in data structure modifications due to strict schema definitions

Code Comparison

gRPC (C#):

var channel = new Channel("localhost:50051", ChannelCredentials.Insecure);
var client = new Greeter.GreeterClient(channel);
var reply = await client.SayHelloAsync(new HelloRequest { Name = "World" });
Console.WriteLine("Greeting: " + reply.Message);

protobuf-net (C#):

var model = new HelloRequest { Name = "World" };
using (var file = File.Create("person.bin"))
{
    Serializer.Serialize(file, model);
}

Summary

gRPC is a comprehensive RPC framework offering high performance and cross-language support, while protobuf-net focuses on .NET-specific Protocol Buffers serialization. gRPC provides more features but requires more setup, whereas protobuf-net is simpler to use for basic serialization tasks in .NET environments.

10,310

Apache Thrift

Pros of Thrift

  • Multi-language support: Thrift supports a wide range of programming languages, making it ideal for heterogeneous environments
  • Built-in RPC framework: Thrift includes a complete RPC system, simplifying cross-service communication
  • Flexible serialization options: Supports binary, compact, and JSON protocols

Cons of Thrift

  • Steeper learning curve: More complex to set up and use compared to protobuf-net
  • Less widespread adoption: Not as commonly used as Protocol Buffers, potentially limiting community support
  • Larger runtime overhead: Generally has higher memory usage and slower performance than protobuf-net

Code Comparison

Thrift IDL:

struct Person {
  1: string name
  2: i32 age
  3: string email
}

protobuf-net (using .proto syntax):

message Person {
  string name = 1;
  int32 age = 2;
  string email = 3;
}

Both systems use similar IDL syntax for defining message structures. However, Thrift's code generation and usage typically involve more boilerplate code compared to protobuf-net's streamlined approach.

protobuf-net focuses on .NET integration and simplicity, while Thrift offers broader language support and a complete RPC framework. The choice between them depends on specific project requirements, such as language ecosystem, performance needs, and desired features.

6,953

MessagePack is an extremely efficient object serialization library. It's like JSON, but very fast and small.

Pros of msgpack

  • Simpler and more lightweight serialization format
  • Supports a wider range of programming languages
  • Generally faster serialization and deserialization

Cons of msgpack

  • Less efficient for complex data structures
  • Lacks built-in schema definition and validation
  • Limited support for versioning and backward compatibility

Code Comparison

msgpack:

import msgpack

data = {"name": "John", "age": 30}
packed = msgpack.packb(data)
unpacked = msgpack.unpackb(packed)

protobuf-net:

[ProtoContract]
public class Person
{
    [ProtoMember(1)]
    public string Name { get; set; }
    [ProtoMember(2)]
    public int Age { get; set; }
}

Person person = new Person { Name = "John", Age = 30 };
using (var stream = new MemoryStream())
{
    Serializer.Serialize(stream, person);
    byte[] data = stream.ToArray();
}

Summary

msgpack is a simpler and more versatile serialization format that works well for basic data structures across many languages. It offers faster performance but lacks some of the advanced features and type safety provided by protobuf-net. protobuf-net, on the other hand, provides stronger typing, schema definition, and better support for complex data structures, making it more suitable for larger, more structured projects.

Convert Figma logo designs to code with AI

Visual Copilot

Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.

Try Visual Copilot

README

protobuf-net logo protobuf-net

protobuf-net is a contract based serializer for .NET code, that happens to write data in the "protocol buffers" serialization format engineered by Google. The API, however, is very different to Google's, and follows typical .NET patterns (it is broadly comparable, in usage, to XmlSerializer, DataContractSerializer, etc). It should work for most .NET languages that write standard types and can use attributes.

Build status

Release Notes

v3 is here!

Change history and pending changes are here.


Supported Runtimes

  • .NET 6.0+ (.NET 5 etc will use .NET Standard 2.1)
  • .NET Standard 2.0, 2.1
  • .NET Framework 4.6.2+

Build tools

Build tools to help you use protobuf-net correctly are available via protobuf-net.BuildTools

Runtime Installation

All stable and some pre-release packages are available on NuGet. CI Builds are available via MyGet (feed URL: https://www.myget.org/F/protobuf-net/api/v3/index.json ).

You can use the following command in the Package Manager Console:

Install-Package protobuf-net
PackageNuGet StableNuGet Pre-releaseDownloadsMyGet
protobuf-netprotobuf-netprotobuf-netprotobuf-netprotobuf-net MyGet

Basic usage

1 First Decorate your classes

[ProtoContract]
class Person {
    [ProtoMember(1)]
    public int Id {get;set;}
    [ProtoMember(2)]
    public string Name {get;set;}
    [ProtoMember(3)]
    public Address Address {get;set;}
}
[ProtoContract]
class Address {
    [ProtoMember(1)]
    public string Line1 {get;set;}
    [ProtoMember(2)]
    public string Line2 {get;set;}
}

Note that unlike XmlSerializer, the member-names are not encoded in the data - instead, you must pick an integer to identify each member. Additionally, to show intent it is necessary to show that we intend this type to be serialized (i.e. that it is a data contract).

2 Serialize your data

This writes a 32 byte file to "person.bin" :

var person = new Person {
    Id = 12345, Name = "Fred",
    Address = new Address {
        Line1 = "Flat 1",
        Line2 = "The Meadows"
    }
};
using (var file = File.Create("person.bin")) {
    Serializer.Serialize(file, person);
}

3 Deserialize your data

This reads the data back from "person.bin" :

Person newPerson;
using (var file = File.OpenRead("person.bin")) {
    newPerson = Serializer.Deserialize<Person>(file);
}

Notes

Notes for Identifiers

  • they must be positive integers (for best portability, they should be <= 536870911 and not in the range 19000-19999)
  • they must be unique within a single type but the same numbers can be re-used in sub-types if inheritance is enabled
  • the identifiers must not conflict with any inheritance identifiers (discussed later)
  • lower numbers take less space - don't start at 100,000,000
  • the identifier is important; you can change the member-name, or shift it between a property and a field, but changing the identifier changes the data

Advanced subjects

Inheritance

Inheritance must be explicitly declared, in a similar way that it must for XmlSerializer and DataContractSerializer. This is done via [ProtoInclude(...)] on each type with known sub-types:

[ProtoContract]
[ProtoInclude(7, typeof(SomeDerivedType))]
class SomeBaseType {...}

[ProtoContract]
class SomeDerivedType {...}

There is no special significance in the 7 above; it is an integer key, just like every [ProtoMember(...)]. It must be unique in terms of SomeBaseType (no other [ProtoInclude(...)] or [ProtoMember(...)] in SomeBaseType can use 7), but does not need to be unique globally.

.proto file

As an alternative to writing your classes and decorating them, You can generate your types from a .proto schema using protogen; the protogen tool is available as a zip from that location, or as a "global tool" (multi-platform).

Alternative to attributes

In v2+, everything that can be done with attributes can also be configured at runtime via RuntimeTypeModel. The Serializer.* methods are basically just shortcuts to RuntimeTypeModel.Default., so to manipulate the behaviour of Serializer., you must configure RuntimeTypeModel.Default.

Support

I try to be responsive to Stack Overflow questions in the protobuf-net tag, issues logged on GitHub, email, etc. I don't currently offer a paid support channel. If I've helped you, feel free to buy me a coffee or see the "Sponsor" link at the top of the GitHub page.