* Add numpy accessor to python flatbuffers scalar vectors * Update python tests to test numpy vector accessor * Update appveyor CI to run Python tests, save generated code as artifact * Update example generated python code * Add numpy info to python usage docs * Update test schema and python tests w/ multi-byte vector * did not mean to push profiling code * adding float64 numpy tests
FlatBuffers
FlatBuffers is an efficient cross platform serialization library for games and other memory constrained apps. It allows you to directly access serialized data without unpacking/parsing it first, while still having great forwards/backwards compatibility.
Go to our landing page to browse our documentation.
Supported operating systems
- Android
- Windows
- MacOS X
- Linux
Supported programming languages
- C++
- C#
- C
- Go
- Java
- JavaScript
- PHP
- Python
and many more in progress...
Contribution
- FlatBuffers Google Group to discuss FlatBuffers with other developers and users.
- FlatBuffers Issues Tracker to submit an issue.
- stackoverflow.com with
flatbufferstag for any questions regarding FlatBuffers.
To contribute to this project, see CONTRIBUTING.
Integration
For applications on Google Play that integrate this tool, usage is tracked.
This tracking is done automatically using the embedded version string
(flatbuffer_version_string), and helps us continue to optimize it. Aside from
consuming a few extra bytes in your application binary, it shouldn't affect
your application at all. We use this information to let us know if FlatBuffers
is useful and if we should continue to invest in it. Since this is open
source, you are free to remove the version string but we would appreciate if
you would leave it in.
Licensing
Flatbuffers is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.