</>PackageGraphPackageGraph

keras

PyPIv3.15.1

Multi-backend Keras

Safe to adopt

Yes — keras scores well across adoption, maintenance, weight, supply chain, and licensing. No download data reported for this package yet. Last published 42 days ago. 23 releases in the last 2 years.

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

    No download data reported for this package yet.

  • AMaintenance: grade A, Excellent.

    Last published 42 days ago. 23 releases in the last 2 years.

  • BWeight: grade B, Good.

    Pulls in 12 transitive packages, about 24 MB installed (at least — some of the tree is still being crawled).

  • BSupply chain: grade B, Good.

    This package lists no maintainer.

  • ALicense: grade A, Excellent.

    Apache License 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 keras to a project.

8
Direct dependencies

Runtime packages this one declares itself.

12
Total installed

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

24 MB
Install size

Unpacked size of this package plus its entire runtime tree.

3
Tree depth

Longest resolved dependency chain below this package.

Part of this dependency tree has not been crawled yet, so these figures are a lower bound rather than a final total.

Licenses in the dependency tree

MIT

Every license you inherit by installing keras, not just its own. Check this before a legal review, not after.

Compatibility

Python
python >=3.11

Quick start

A usage example from the keras README.

codeFull README ↗
export KERAS_BACKEND="jax"

Dependencies

Declared by keras v3.15.1. Runtime dependencies are installed with the package; dev dependencies are not.

Runtime (8)

absl-py h5py ml-dtypes namex numpy optree packaging rich

Used by

Popular packages that depend on keras.

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 keras.

absl-pynumpyrichnamexh5pyoptreeml-dtypespackagingtensorflowkeras
keras dependencies dependents

Frequently installed together

requestsPyPI

Python HTTP for Humans.

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

Fundamental package for array computing in Python

↓ 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
flatbuffersPyPI

The FlatBuffers serialization format for Python

↓ 0/wk◈ 1 dependents⚖ Apache 2.0
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

Release history

21 releases in the last two years, typically about 22 days apart.

Recent versions of keras
VersionPublishedSizeLicense
3.12.41 month ago2.0 MBApache License 2.0
3.15.1latest1 month ago2.3 MBApache License 2.0
3.12.32 months ago1.4 MBApache License 2.0
3.15.02 months ago1.6 MBApache License 2.0
3.12.24 months ago1.4 MBApache License 2.0
3.14.14 months ago1.6 MBApache License 2.0
3.14.05 months ago1.6 MBApache License 2.0
3.12.17 months ago1.4 MBApache License 2.0
3.13.27 months ago1.4 MBApache License 2.0
3.13.17 months ago1.4 MBApache License 2.0
3.13.08 months ago1.4 MBApache License 2.0
3.12.010 months ago1.4 MBApache License 2.0
3.11.31 year ago1.3 MBApache License 2.0
3.11.21 year ago1.3 MBApache License 2.0
3.11.11 year ago1.3 MBApache License 2.0

Overview

keras is an PyPI package that multi-backend Keras. It has 1 known dependents in the graph. The latest version is 3.15.1, released under the Apache License 2.0 license.

Who should use it

Teams working in the PyPI ecosystem who need multi-backend Keras 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 License 2.0).

Cons

  • No significant drawbacks detected from available metadata.

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

Frequently asked questions

Should I use keras?

Yes — keras scores well across adoption, maintenance, weight, supply chain, and licensing. No download data reported for this package yet. Last published 42 days ago. 23 releases in the last 2 years.

How do I install keras?

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

How many dependencies does keras have?

keras declares 8 direct dependencies and pulls in 12 packages in total once its runtime tree is resolved totalling about 24 MB on disk.

What license is keras released under?

keras is distributed under the Apache License 2.0 license.

How popular is keras?

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

Is keras still maintained?

The most recent release of keras (v3.15.1) was published 1 month ago.