---
title: "keras-tuner vs archai"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/keras-team-keras-tuner-vs-microsoft-archai"
tools: ["keras-team-keras-tuner", "microsoft-archai"]
---

# keras-tuner vs archai

*GraphCanon updated Aug 4, 2026*

## Verdict

Pick keras-tuner if kerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments; pick archai if archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch.

[keras-tuner](https://keras.io/keras_tuner/) reports 2.9k GitHub stars, 404 forks, and 240 open issues, last pushed Dec 1, 2025. [archai](https://microsoft.github.io/archai) has 485 stars, 93 forks, and 4 open issues, last pushed Nov 24, 2025. Figures are from public GitHub metadata via [keras-tuner's repository](https://github.com/keras-team/keras-tuner) and [archai's repository](https://github.com/microsoft/archai).

| | [keras-tuner](/tools/keras-team-keras-tuner.md) | [archai](/tools/microsoft-archai.md) |
| --- | --- | --- |
| Tagline | A Hyperparameter Tuning Library for Keras | Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research. |
| Stars | 2,923 | 485 |
| Forks | 404 | 93 |
| Open issues | 240 | 4 |
| Language | Python | Python |
| Adopt for | KerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments. | Archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | Model Training | Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [keras-tuner](/tools/keras-team-keras-tuner.md) | [archai](/tools/microsoft-archai.md) |
| --- | --- | --- |
| Days since push | 245d | 252d |
| Open issues (now) | 240 | 4 |
| Full report | [trust report](/tools/keras-team-keras-tuner/trust.md) | [trust report](/tools/microsoft-archai/trust.md) |

## Shared compatibility

- **Python**: [keras-tuner](/tools/keras-team-keras-tuner.md) - Python runtime; [archai](/tools/microsoft-archai.md) - Python runtime

## Decision facts: keras-tuner

- **Adopt for:** KerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments.

## Decision facts: archai

- **Adopt for:** Archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch.

## Choose when

### Choose keras-tuner if…

- License: keras-tuner is Apache-2.0, archai is MIT.
- Tags unique to keras-tuner: keras, machine-learning, tensorflow.
- - Use when you are working with TensorFlow 2.0+ and Python 3.8+, specifically if your project relies heavily on these technologies.

### Choose archai if…

- License: archai is MIT, keras-tuner is Apache-2.0.
- Tags unique to archai: automated-machine-learning, darts, model-compression, nas.
- Need rapid iteration in NAS projects while ensuring reproducibility

## When NOT to use keras-tuner

- - Avoid if your current machine-learning stack does not include Python and TensorFlow 2.0+ as primary dependencies.
- - Not recommended if you seek hyperparameter tuning solutions that are more generic or compatible with a wider range of ML frameworks beyond Keras.

## When NOT to use archai

- Project requires specific GPU support not aligned with PyTorch 1.7.0+ versions
- Development occurs outside Python 3.8+, limiting the application of Archai tools

## Common questions

### What is the difference between keras-tuner and archai?

keras-tuner: A Hyperparameter Tuning Library for Keras. archai: Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.. See the comparison table for live GitHub stats and shared categories.

### When should I choose keras-tuner over archai?

Choose keras-tuner over archai when License: keras-tuner is Apache-2.0, archai is MIT; Tags unique to keras-tuner: keras, machine-learning, tensorflow; - Use when you are working with TensorFlow 2.0+ and Python 3.8+, specifically if your project relies heavily on these technologies.

### When should I choose archai over keras-tuner?

Choose archai over keras-tuner when License: archai is MIT, keras-tuner is Apache-2.0; Tags unique to archai: automated-machine-learning, darts, model-compression, nas; Need rapid iteration in NAS projects while ensuring reproducibility.

### When should I avoid keras-tuner?

- Avoid if your current machine-learning stack does not include Python and TensorFlow 2.0+ as primary dependencies. - Not recommended if you seek hyperparameter tuning solutions that are more generic or compatible with a wider range of ML frameworks beyond Keras.

### When should I avoid archai?

Project requires specific GPU support not aligned with PyTorch 1.7.0+ versions Development occurs outside Python 3.8+, limiting the application of Archai tools

### Is keras-tuner or archai more popular on GitHub?

keras-tuner has more GitHub stars (2,923 vs 485). Stars measure visibility, not whether either tool fits your constraints.

### Are keras-tuner and archai open source?

Yes - both are open-source projects on GitHub (keras-tuner: Apache-2.0, archai: MIT).

### Where can I find alternatives to keras-tuner or archai?

GraphCanon lists graph-backed alternatives at [keras-tuner alternatives](/tools/keras-team-keras-tuner/alternatives) and [archai alternatives](/tools/microsoft-archai/alternatives) ([keras-tuner markdown twin](/tools/keras-team-keras-tuner/alternatives.md), [archai markdown twin](/tools/microsoft-archai/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/keras-team-keras-tuner-vs-microsoft-archai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, keras-tuner or archai?

keras-tuner: Slowing. archai: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for keras-tuner and archai?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [keras-tuner trust report](/tools/keras-team-keras-tuner/trust); [archai trust report](/tools/microsoft-archai/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=keras-team-keras-tuner`](/api/graphcanon/graph?tool=keras-team-keras-tuner)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
