Protocol Buffers Alternatives
Protocol Buffers is described as 'Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data – think XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to' and is an app. There are six alternatives to Protocol Buffers for Mac, Windows, Linux, BSD and Self-Hosted. The best Protocol Buffers alternative is TOML, which is both free and Open Source. Other great apps like Protocol Buffers are YAML, MessagePack, Apache Thrift and Avro.
TOML aims to be a minimal configuration file format that's easy to read due to obvious semantics. TOML is designed to map unambiguously to a hash table. TOML should be easy to parse into data structures in a wide variety of languages.
- - TOML is the most popular Windows, Mac & Linux alternative to Protocol Buffers.
- - TOML is the most popular Open Source & free alternative to Protocol Buffers.
TOML Features
9 YAML alternatives- Free • Open Source
- Code Editor
- Mac
- Windows
- Linux
YAML 1.2
YAML: YAML Ain't Markup Language
What It Is: YAML is a human friendly data serialization standard for all programming languages.
YAML Features
6 MessagePack alternatives- Free • Open Source
- Mac
- Windows
- Linux
- BSD
MessagePack is an efficient binary serialization specification that lets you exchange data among multiple languages like JSON but quicker and with a lower overhead.
Thrift is a lightweight, language-independent software stack for point-to-point RPC implementation. Thrift provides clean abstractions and implementations for data transport, data serialization, and application level processing.
- - Apache Thrift is the most popular Self-Hosted alternative to Protocol Buffers.
Apache Thrift Features
Apache Avro™ is a data serialization system. Avro provides: A compact, fast, binary data format. A container file, to store persistent data. Remote procedure call (RPC).
Avro Features
The eno notation language is a plain-text data format designed for file-based content. The language itself is very simple but expressive enough to be able to handle massive databases, while libraries are available across multiple languages including JavaScript, Python, Ruby and...