Guardrails AI

Adding guardrails to large language models.

Security & Guardrails Python Grade C Listed Apache-2.0
Listing state
Listed
HVTrust
62.9/100 · Grade C
Last push
2026-06-04 · 0d ago
Recent change
Rank +8

Quick Trust Read

Verdict
Promising trust profile, but some evidence still deserves review.
62.9/100 · Grade C
Strongest Signal
Transparency
13.3/17
Weakest Signal
Safety / Integrity
11.1/25
What Would Improve It
Publish package provenance or release attestations for stronger supply-chain evidence.
Recent Changes
2026-06-02
Rank Moved
Rank dropped 11 spots (#90 → #101)
2026-06-01
Rank Moved
Rank dropped 20 spots (#70 → #90)
2026-05-29
HVTrust Changed
HVTrust up 9.9pts (51.6 → 61.5)
Maintainer Checklist
Raise Scorecard signals Current OSSF Scorecard is 5.6/10. Tighten the weakest checks to improve public safety evidence.
Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.
72.4
Activity Score · out of 100
62.9
HVTrust Score · out of 100
#106
Global Rank · of 203
#3

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade C reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Full methodology →

Signals refreshed 2026-06-04 20:15 UTC · Repo last pushed today

Rank Trend

2026-05-25 2026-06-04

Activity & Reach

Stars
7.0k
Forks
617
Last Push
2026-06-04
today
Commits (4 wk)
7?
Downloads (7d)
3,214
pypi
HN mentions (30d)
29
Open Issues
40
Rank Change
▼5
was #101

Analysis

HVTrust Dimensions

62.9 / 100 · 100.0% confidence
Safety / IntegrityOSSF, provenance, signatures
11.1 / 25
Identity / ProvenanceListing and build link
10.8 / 18
TransparencyLicense and public checks
13.3 / 17
MaintenanceFreshness and commits
13.8 / 20
AdoptionStars and downloads
13.9 / 20

Activity Inputs

72.4 / 100
StarsRepository reach
23.1 / 30
FreshnessLast push recency
25.0 / 25
ActivityRecent commits
11.3 / 25
CommunityFork signal
13.0 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
5.6 / 10
via deps.dev · OpenSSF
Signed Commits
81%
of last 100 commits verified
Binary-Artifacts 10
Branch-Protection 5
CI-Tests 8
CII-Best-Practices 0
Code-Review 8
Contributors 10
Dangerous-Workflow 10
Dependency-Update-Tool 10
Fuzzing 0
License 10
Maintained 10
Packaging 10
Pinned-Dependencies 0
SAST 0
Security-Policy 0
Signed-Releases -1
Token-Permissions 0
Vulnerabilities 0

Is Guardrails AI safe?

Guardrails AI has a mixed signal profile. Some trust indicators are present, others are missing. Whether it is safe for your use case depends on which gaps matter to you — review the breakdown below before adopting in production.
Does Guardrails AI publish package provenance?
No published build provenance is currently detected for Guardrails AI. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does Guardrails AI have an OpenSSF Scorecard?
Guardrails AI has an OpenSSF Scorecard score of 5.6/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.
Is Guardrails AI actively maintained?
Actively maintained. The repository was pushed to within the last 1 day(s).
What license does Guardrails AI use?
Guardrails AI ships under Apache-2.0. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Guardrails AI's commits signed?
81% of the last 100 commits to Guardrails AI are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.

Compare Guardrails AI head-to-head

Runtime trust — coming soon

HVTrust currently scores supply-chain signals. We're adding runtime trust next: what an agent actually does when it runs — what it can reach, which tools it carries, what external services it depends on. Track progress on the roadmap →

  • MCP support
  • Tool / plugin surface
  • External service deps
  • Package provenance drift

Maintain Guardrails AI?

HVTrust scores Guardrails AI from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.

Reputation Timeline

HVTrust 3Rank 3Listed 1Scorecard 1Score 1
2026-06-02
Rank Moved
Rank dropped 11 spots (#90 → #101)
2026-06-01
Rank Moved
Rank dropped 20 spots (#70 → #90)
2026-05-29
HVTrust Changed
HVTrust up 9.9pts (51.6 → 61.5)
2026-05-28
Rank Moved
Rank rose 24 spots (#106 → #82)
2026-05-28
HVTrust Changed
HVTrust down 5.2pts (56.8 → 51.6)
2026-05-28
Activity Score Changed
Activity score up 11pts (61 → 72)
2026-05-27
Scorecard Added
OSSF Scorecard: 5.6/10
2026-05-27
HVTrust Changed
HVTrust up 24.4pts (32.4 → 56.8)
2026-05-25
Newly Listed
First tracked at rank #110

Embed Badge Badge guide for maintainers →

HVTrust 62.9 Grade C
Markdown:
[![HVTrust](https://hvtracker.net/badge/guardrails-ai.svg)](https://hvtracker.net/agents/guardrails-ai)
HTML:
<a href="https://hvtracker.net/agents/guardrails-ai"><img src="https://hvtracker.net/badge/guardrails-ai.svg" alt="HVTrust"></a>

Other agents in Security & Guardrails

Guardrails AI head-to-head

Data sources
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance) · OSSF Scorecard via deps.dev · Algolia HN Search API
Each agent's signals refresh once daily across 6 staggered batches. Methodology v3.1 · Raw JSON