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Keras Review

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Should I use Keras?

Deep learning for humans - keras.io

· 2 days ago

Keras fits Python teams that train deep learning models and want a free, simple API across TensorFlow, JAX, and PyTorch. Non-technical buyers who need a finished AI product or vendor support do not buy this.

Confidence

Medium. Based on 18 public sources. Filtered out unrelated firms named Keras (a mining company and a car dealer).

Ratings

  • Value for money
  • Ease of use
  • Feature depth
  • Support qualityNo support evidence found.
  • Security posture

Pricing

Free

Open source

ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed
Free tierYes

Best for

  • Python teams training custom deep learning models
  • ML beginners who want simple model code
  • Teams wanting one API across TF, JAX, PyTorch
  • Researchers prototyping fast

Not for

  • Teams with no Python or ML engineers
  • Buyers wanting a no-code or managed AI product
  • Anyone needing vendor SLAs or support contracts

Gotchas - check before you buy

high

Only load model files you trust; loading untrusted files enabled RCE attacks.

medium

Library is free but GPU compute and hosting cost real money; estimate before training runs.

medium

Keras 3 moved to multi-backend; old TensorFlow-only code needs migration work.

medium

No vendor support contract; help comes from docs, GitHub, and community.

Pros and cons

Pros

  • Completely free and open source with no license fees.
  • One API runs on TensorFlow, JAX, and PyTorch.
  • Reviewers rate it 4.6/5 on G2.
  • Beginners describe the API as welcoming.
  • Used by CERN per the official site.

Cons

  • Reviewers say Keras is less flexible than lower-level frameworks.
  • Multiple remote code execution CVEs involve loading model files.
  • Some ML practitioners prefer PyTorch for research work.
  • Community questioned Google's commitment before the Keras 3 release.

Sources & method

- 10 sources - Multiple CVEs since 2025, mostly in model loading; Keras maintains a security policy page.

official x2review x4security x2news x2
  • CVE-2025-1550, Remote code execution via malicious Keras models loaded with load_model.
  • CVE-2025-9906, Remote code execution in_model.
  • CVE-2025-12060, Path traversal vulnerability when loading model archives.
  • Arbitrary file access in Keras models, Zscaler disclosed file access risk in the Keras model format.
  • CVE-2026-12570, A vulnerability disclosed in the Keras ecosystem in August 2026.

Key stats

  • Value for money: 5/5

    Rating

  • Free

    Starting price

  • 10

    Sources

  • Analyzed

  • Value for money: 5/5. Free and open source, no license fees.
  • Ease of use: 4/5. Reviewers call it welcoming and beginner-friendly.
  • Feature depth: 4/5. One API across three ML backends.
  • Support quality. No support evidence found.
  • Security posture: 2/5. Several model-loading RCE CVEs since 2025.
  • 4.6/5 G2 rating 65 reviews
  • Free Starting price Open source library
  • Yes Free tier Full Keras 3 API
  • 31,959 Companies using Per Enlyft tracking

Pricing

Open source

Free

  • Full Keras 3 multi-backend API
  • Community support via docs and GitHub
  • Compute and hosting cost extra

Security

Multiple CVEs since 2025, mostly in model loading; Keras maintains a security policy page.

  • CVE-2025-1550Remote code execution via malicious Keras models loaded with load_model.
  • CVE-2025-9906Remote code execution in_model.
  • CVE-2025-12060Path traversal vulnerability when loading model archives.⁸
  • Arbitrary file access in Keras modelsZscaler disclosed file access risk in the Keras model format.
  • CVE-2026-12570A vulnerability disclosed in the Keras ecosystem in August 2026.

What users say

Users praise Keras for fast, beginner-friendly prototyping; some find it less flexible than raw frameworks.

“Keras is very welcoming.”
Medium, Google Developer Experts

Alternatives

Compare Keras with each alternative.

  • Scikit-learn

    Guess: simpler pick for tabular ML without deep learning.

Companies that use it

Full analysis

Based on 18 public sources. Filtered out unrelated firms named Keras (a mining company and a car dealer).

Free, well-rated deep learning API for Python teams. Skip it if you lack ML engineers. Watch model-loading CVEs.

Methodology

Based on 18 public sources. Filtered out unrelated firms named Keras (a mining company and a car dealer).

Read how a report is made.

Sources

  1. official
  2. official
  3. review
  4. review
  5. review
  6. news
  7. security
  8. security
  9. news
  10. review

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