---
title: "keras-tuner trust report"
type: "trust-report"
slug: "keras-team-keras-tuner"
canonical_url: "https://www.graphcanon.com/tools/keras-team-keras-tuner/trust"
computed_at: "2026-07-11T23:35:29.786Z"
maintenance_label: "Slowing"
security_status: "no_lockfile"
---

# keras-tuner trust report

_Sourced [trust signals](/glossary/trust-and-signals/trust-signal) from public GitHub metadata and optional dependency [security scans](/glossary/trust-and-signals/security-scan). Not a security guarantee._

## Maintenance

- Label: Slowing (36% recency signal)
- Days since last push: 222
- Last release: 2025-11-11T05:22:28Z
- Methodology: github_public_v1

## Provenance

- GitHub repo id: 190658443
- Not a fork
- Owner type: Organization
- Computed at: 2026-07-11T23:35:29.786Z
- Methodology: github_public_v1

## Security scan

- Status: No lockfile (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-11T23:35:30.369Z

## Method and caveats

These are heuristics from public GitHub data and optional dependency scans, sourced and dated. 
"No criticals found on 2026-07-11" is not a guarantee of safety.
See the full methodology: [/trust-methodology](/trust-methodology.md).

## Common questions

### Is keras-tuner maintained?

GraphCanon rates keras-tuner "Slowing" (36% maintenance signal from public GitHub metadata, computed today). Last push was 222 days ago. This is a recency heuristic, not a guarantee the project will stay maintained.

### Is keras-tuner safe to use?

Last scanned today (none profile). Status: No lockfile. Absence of findings in our scan is not a security guarantee - see [trust methodology](/trust-methodology) for scope limits. GraphCanon does not certify keras-tuner as safe - review maintenance, provenance, and scan findings on this page before adopting.

### Is keras-tuner a fork?

No. keras-tuner is not flagged as a fork in GitHub metadata at the time of the last refresh.

### Does keras-tuner have known security vulnerabilities?

Last scanned today (none profile). Status: No lockfile. Absence of findings in our scan is not a security guarantee - see [trust methodology](/trust-methodology) for scope limits.

### How often is the keras-tuner trust report updated?

Trust signals refresh on GitHub ingest/refresh cycles and optional dependency/MCP scans. This report was computed today (methodology github_public_v1).

### What does GraphCanon never claim about keras-tuner?

We never publish a composite safety grade, pen-test endorsement, or "verified secure" label for keras-tuner. Signals are sourced heuristics with explicit limits - see [trust methodology](/trust-methodology).

### How does GraphCanon assess trust for keras-tuner?

Signals are sourced from public GitHub metadata and optional dependency/MCP manifest scans, each tagged with methodology version and computed date. GraphCanon does not publish a composite safety grade. Read [trust methodology](/trust-methodology) for full scope and limits.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/keras-team-keras-tuner/trust`](/api/graphcanon/tools/keras-team-keras-tuner/trust)
- 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/_