Source: https://seerepo.com/compare/keras-team/keras/vs/unifyai/ivy
Markdown source: https://seerepo.com/compare/keras-team/keras/vs/unifyai/ivy.md
Description: keras and ivy share 7 technologies: h5py, torch, jax, TensorFlow, ml-dtypes, flax, and scikit-learn. Both are written in Python.

# keras vs ivy

keras and ivy share 7 technologies: h5py, torch, jax, TensorFlow, ml-dtypes, flax, and scikit-learn. Both are written in Python.

- [keras-team/keras](https://seerepo.com/r/keras-team/keras): Deep Learning for humans
- [unifyai/ivy](https://seerepo.com/r/unifyai/ivy): Convert Machine Learning Code Between Frameworks

## What they share and what sets them apart

- In common: h5py, torch, jax, TensorFlow, ml-dtypes, flax, scikit-learn
- Only in keras: Rich, jax2onnx, onnxscript, orbax-checkpoint, tensorflow-cpu, tf2onnx, ai-edge-litert, grain, onnxruntime, litert-torch, openvino, torch-xla, pillow
- Only in ivy: cryptography, PaddlePaddle, einops, torchvision, jaxlib, xgboost, psutil

## Side by side

| | keras | ivy |
|---|---|---|
| Size | 326,501 lines written, 625 code files | 482,091 lines written, 876 code files |
| Who writes it | 0.6% of its commits signed by AI. With Gemini CLI, Jules, Claude Code, and Cursor | 0% of its commits signed by AI |
| Activity | Last push November 9, 2026, 11,754 commits, 64,418 stars | Last push October 22, 2026, 18,065 commits, 14,166 stars |
| Tests | 320 test files. 34.9% of its code files have a test that imports them | 444 test files. 12.1% of its code files have a test that imports them |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## Frequently asked questions

### Which is bigger, keras or ivy?

ivy, with 482,091 lines written; keras has 326,501.

The proof: [unifyai/ivy's code at commit 67547cc](https://github.com/unifyai/ivy/tree/67547ccc994ff162991d1c5bea13df020926cf7d)

### Which has more GitHub stars, keras or ivy?

keras, with 64,418 stars; ivy has 14,166.

The proof: [keras-team/keras on GitHub](https://github.com/keras-team/keras)

### Which has more tests, keras or ivy?

ivy, with 444 test files; keras has 320.

The proof: [unifyai/ivy's code at commit 67547cc](https://github.com/unifyai/ivy/tree/67547ccc994ff162991d1c5bea13df020926cf7d)

### Which was updated more recently, keras or ivy?

keras: its last push was on November 9, 2026, and ivy's on October 22, 2026.

The proof: [keras-team/keras's commits on GitHub](https://github.com/keras-team/keras/commits)

### Which has more commits signed by AI, keras or ivy?

keras: an AI signed 0.6% of its commits, with Gemini CLI, Jules, Claude Code, and Cursor.

The proof: [the commits each tool signed in keras-team/keras](https://seerepo.com/r/keras-team/keras/ai)

## Sources

- keras-team/keras: Read on November 9, 2026, at commit c55eefd (https://github.com/keras-team/keras/tree/c55eefdd4cac3529bef2b231866b638ffa3ae0a1)
- unifyai/ivy: Read on November 9, 2026, at commit 67547cc (https://github.com/unifyai/ivy/tree/67547ccc994ff162991d1c5bea13df020926cf7d)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.