</>PackageGraphPackageGraph

flatbuffers

PyPIv25.12.19

The FlatBuffers serialization format for Python

Safe to adopt

Yes — flatbuffers scores well across adoption, maintenance, weight, supply chain, and licensing. No download data reported for this package yet. Last published 264 days ago. 6 releases in the last 2 years.

  • ?Adoption: grade ?, Not reported by this registry.

    No download data reported for this package yet.

  • BMaintenance: grade B, Good.

    Last published 264 days ago. 6 releases in the last 2 years.

  • AWeight: grade A, Excellent.

    Zero runtime dependencies, about 26 KB installed.

  • BSupply chain: grade B, Good.

    This package has a single maintainer (bus factor of 1).

  • ALicense: grade A, Excellent.

    Apache 2.0 — permissive, with no copyleft found in the dependency tree.

Grades are computed deterministically from registry metadata collected by PackageGraph — downloads, dependents, publish dates, the resolved dependency tree, maintainer count, and declared licenses. No third-party scores are used.

Install cost

What you actually take on by adding flatbuffers to a project.

0
Direct dependencies

Runtime packages this one declares itself.

0
Total installed

Distinct packages in the full runtime tree, deduplicated the way a package manager would.

26 KB
Install size

Unpacked size of this package plus its entire runtime tree.

—
Tree depth

Longest resolved dependency chain below this package.

Compatibility

Python
No constraint declared

Used by

Popular packages that depend on flatbuffers.

tensorflowPyPI

TensorFlow is an open source machine learning framework for everyone.

↓ 0/wk◈ 0 dependents⚖ Apache 2.0

Relationship graph

Dependencies (left) and dependents (right) of flatbuffers.

tensorflowflatbuffers
flatbuffers dependencies dependents

Frequently installed together

requestsPyPI

Python HTTP for Humans.

↓ 0/wk◈ 1 dependents⚖ Apache-2.0
numpyPyPI

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↓ 0/wk◈ 6 dependents
packagingPyPI

Core utilities for Python packages

↓ 0/wk◈ 7 dependents
absl-pyPyPI

Abseil Python Common Libraries, see https://github.com/abseil/abseil-py.

↓ 0/wk◈ 2 dependents
astunparsePyPI

An AST unparser for Python

↓ 0/wk◈ 1 dependents⚖ BSD
gastPyPI

Python AST that abstracts the underlying Python version

↓ 0/wk◈ 1 dependents⚖ BSD 3-Clause
libclangPyPI

Clang Python Bindings, mirrored from the official LLVM repo: https://github.com/llvm/llvm-project/tree/main/clang/bindings/python, to make the installation process easier.

↓ 0/wk◈ 1 dependents⚖ Apache License 2.0
protobufPyPI

No description provided.

↓ 0/wk◈ 1 dependents⚖ 3-Clause BSD License
setuptoolsPyPI

Most extensible Python build backend with support for C/C++ extension modules

↓ 0/wk◈ 1 dependents
sixPyPI

Python 2 and 3 compatibility utilities

↓ 0/wk◈ 4 dependents⚖ MIT
wraptPyPI

Module for decorators, wrappers and monkey patching.

↓ 0/wk◈ 1 dependents
grpcioPyPI

HTTP/2-based RPC framework

↓ 0/wk◈ 1 dependents

Release history

6 releases in the last two years, typically about 28 days apart.

Recent versions of flatbuffers
VersionPublishedSizeLicense
25.12.19latest8 months ago26 KBApache 2.0
25.9.2311 months ago30 KBApache 2.0
25.2.101 year ago30 KBApache 2.0
25.1.241 year ago30 KBApache 2.0
25.1.211 year ago30 KBApache 2.0
24.12.231 year ago30 KBApache 2.0
24.3.252 years ago26 KBApache 2.0
24.3.72 years ago26 KBApache 2.0
24.3.62 years ago26 KBApache 2.0
23.5.263 years ago26 KBApache 2.0
23.5.93 years ago26 KBApache 2.0
23.5.83 years ago26 KBApache 2.0
23.3.33 years ago26 KBApache 2.0
23.1.213 years ago26 KBApache 2.0
23.1.203 years ago26 KBApache 2.0

Overview

flatbuffers is an PyPI package that the FlatBuffers serialization format for Python. It has 1 known dependents in the graph. The latest version is 25.12.19, released under the Apache 2.0 license.

Who should use it

Teams working in the PyPI ecosystem who need the FlatBuffers serialization format for Python and value a focused solution.

When not to use it

Consider an alternative if you need to or if a more actively-maintained option better fits your PyPI stack.

Pros

  • Clear open-source license (Apache 2.0).
  • Zero runtime dependencies — minimal footprint.

Cons

  • No significant drawbacks detected from available metadata.

Auto-generated from collected registry metadata. No external claims are inferred.

Maintainers

Derek Bailey

Frequently asked questions

Should I use flatbuffers?

Yes — flatbuffers scores well across adoption, maintenance, weight, supply chain, and licensing. No download data reported for this package yet. Last published 264 days ago. 6 releases in the last 2 years.

How do I install flatbuffers?

Run `pip install flatbuffers` to add flatbuffers to your PyPI project.

What license is flatbuffers released under?

flatbuffers is distributed under the Apache 2.0 license.

How popular is flatbuffers?

PyPI does not publish download counts. Within PackageGraph's crawl, 1 known packages depend on flatbuffers.

Is flatbuffers still maintained?

The most recent release of flatbuffers (v25.12.19) was published 8 months ago.