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flatbuffers
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Changelog
[24.3.25] (March 25 2024)(https://github.com/google/flatbuffers/releases/tag/v24.3.25)
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in addition to null-terminated c-style strings (#8203)Readme
FlatBuffers is a cross platform serialization library architected for maximum memory efficiency. It allows you to directly access serialized data without parsing/unpacking it first, while still having great forwards/backwards compatibility.
Build the compiler for flatbuffers (flatc
)
Use cmake
to create the build files for your platform and then perform the compliation (Linux example).
cmake -G "Unix Makefiles"
make -j
Define your flatbuffer schema (.fbs
)
Write the schema to define the data you want to serialize. See monster.fbs for an example.
Generate code for your language(s)
Use the flatc
compiler to take your schema and generate language-specific code:
./flatc --cpp --rust monster.fbs
Which generates monster_generated.h
and monster_generated.rs
files.
Serialize data
Use the generated code, as well as the FlatBufferBuilder
to construct your serialized buffer. (C++
example)
Transmit/store/save Buffer
Use your serialized buffer however you want. Send it to someone, save it for later, etc...
Read the data
Use the generated accessors to read the data from the serialized buffer.
It doesn't need to be the same language/schema version, FlatBuffers ensures the data is readable across languages and schema versions. See the Rust
example reading the data written by C++
.
Go to our landing page to browse our documentation.
Code generation and runtime libraries for many popular languages.
FlatBuffers does not follow traditional SemVer versioning (see rationale) but rather uses a format of the date of the release.
flatbuffers
tag for any questions regarding FlatBuffers.To contribute to this project, see CONTRIBUTING.
Please see our Security Policy for reporting vulnerabilities.
Flatbuffers is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.
FAQs
Memory Efficient Serialization Library
The npm package flatbuffers receives a total of 296,955 weekly downloads. As such, flatbuffers popularity was classified as popular.
We found that flatbuffers demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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