Home/Compare/circuit-breakers vs autoguardrails

Comparison

circuit-breakers vs autoguardrails

Verdict

Pick circuit-breakers when circuit-breakers is primarily Jupyter Notebook; autoguardrails is Python; pick autoguardrails when autoguardrails is primarily Python; circuit-breakers is Jupyter Notebook.

Markdown twin · circuit-breakers alternatives · autoguardrails alternatives

GraphCanon updated Oct 6, 2026

9views this month

circuit-breakers logo

circuit-breakers

GraySwanAI/circuit-breakers

★ 270pushed Sep 24, 2024
vs
autoguardrails logo

autoguardrails

SantanderAI/autoguardrails

★ 130pushed Sep 1, 2026

Trust & integrity

Signalcircuit-breakersautoguardrails
Maintenance
Dormant (741d since push)
As of Oct 6, 2026 · github_public_v1
Active (11d since push)
As of Sep 12, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Oct 6, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 12, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Published findings
As of Sep 20, 2026 · openssf-scorecard@v1

Tagline

circuit-breakers
Improving Alignment and Robustness with Circuit Breakers
autoguardrails
Alignment-research scaffold for LLM guardrails involving policy evaluation and content moderation

Stars

circuit-breakers
270
autoguardrails
130

Forks

circuit-breakers
43
autoguardrails
36

Open issues

circuit-breakers
14
autoguardrails
2

Language

circuit-breakers
Jupyter Notebook
autoguardrails
Python

Adopt for

circuit-breakers
-
autoguardrails
Autoguardrails is an evaluation and development framework for AI policy creation and review. It enables the iterative adjustment and testing of guardrail policies in alignment research through a controlled workflow.

Persona

circuit-breakers
-
autoguardrails
-

Runtime

circuit-breakers
-
autoguardrails
-

License

circuit-breakers
MIT
autoguardrails
Apache-2.0

Last pushed

circuit-breakers
Sep 24, 2024
autoguardrails
Sep 1, 2026

Categories

circuit-breakers
Evaluation & Observability
autoguardrails
Evaluation & Observability, LLM Frameworks

Trust and health

Maintenance

circuit-breakers
Dormant (18%)
autoguardrails
Active (82%)

Days since push

circuit-breakers
741d
autoguardrails
11d

Open issues (now)

circuit-breakers
14
autoguardrails
2

Stars delta

circuit-breakers
+1 (30d)
autoguardrails
+2 (30d)

OpenSSF Scorecard

circuit-breakers
Not queried
autoguardrails
Published findings

Full report

circuit-breakers
Trust report
autoguardrails
Trust report

Choose circuit-breakers if…

  • circuit-breakers is primarily Jupyter Notebook; autoguardrails is Python.
  • License: circuit-breakers is MIT, autoguardrails is Apache-2.0.
  • Tags unique to circuit-breakers: adversarial-attacks, circuit breaker, robustness.
  • If needing robust protection against adversarial attacks that do not compromise model capability

When NOT to use circuit-breakers

  • When the focus is on enhancing content diversity rather than filtering harmful content
  • In scenarios where minimizing the alteration of original model output is critical

Choose autoguardrails if…

  • autoguardrails is primarily Python; circuit-breakers is Jupyter Notebook.
  • License: autoguardrails is Apache-2.0, circuit-breakers is MIT.
  • Requirements: Requires Python 3.10 or higher.; No third-party runtimes; it is built completely on the standard Python library..
  • Tags unique to autoguardrails: ai-safety, autoresearch, content-moderation, evaluation.
  • Also covers LLM Frameworks.
  • When you are conducting alignment research that requires systematic iteration on LLM safeguard policies.

When NOT to use autoguardrails

  • Autoguardrails may not suit needs requiring real-time or dynamic policy adjustments outside its autoresearch workflow.
  • Avoid using Autoguardrails if you cannot accept offline operation as it is built on the Python standard library and runs without third-party runtime dependencies.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: circuit-breakers 270 · autoguardrails 130 (synced Oct 6, 2026).

Common questions

What is the difference between circuit-breakers and autoguardrails?
circuit-breakers: Improving Alignment and Robustness with Circuit Breakers. autoguardrails: Alignment-research scaffold for LLM guardrails involving policy evaluation and content moderation. See the comparison table for live GitHub stats and shared categories.
When should I choose circuit-breakers over autoguardrails?
Choose circuit-breakers over autoguardrails when circuit-breakers is primarily Jupyter Notebook; autoguardrails is Python; License: circuit-breakers is MIT, autoguardrails is Apache-2.0; Tags unique to circuit-breakers: adversarial-attacks, circuit breaker, robustness; If needing robust protection against adversarial attacks that do not compromise model capability.
When should I choose autoguardrails over circuit-breakers?
Choose autoguardrails over circuit-breakers when autoguardrails is primarily Python; circuit-breakers is Jupyter Notebook; License: autoguardrails is Apache-2.0, circuit-breakers is MIT; Requirements: Requires Python 3.10 or higher.; No third-party runtimes; it is built completely on the standard Python library.; Tags unique to autoguardrails: ai-safety, autoresearch, content-moderation, evaluation; Also covers LLM Frameworks; When you are conducting alignment research that requires systematic iteration on LLM safeguard policies.
When should I avoid circuit-breakers?
When the focus is on enhancing content diversity rather than filtering harmful content In scenarios where minimizing the alteration of original model output is critical
When should I avoid autoguardrails?
Autoguardrails may not suit needs requiring real-time or dynamic policy adjustments outside its autoresearch workflow. Avoid using Autoguardrails if you cannot accept offline operation as it is built on the Python standard library and runs without third-party runtime dependencies.
Is circuit-breakers or autoguardrails more popular on GitHub?
circuit-breakers has more GitHub stars (270 vs 130). Stars measure visibility, not whether either tool fits your constraints.
Are circuit-breakers and autoguardrails open source?
Yes - both are open-source projects on GitHub (circuit-breakers: MIT, autoguardrails: Apache-2.0).
Where can I find alternatives to circuit-breakers or autoguardrails?
GraphCanon lists graph-backed alternatives at circuit-breakers alternatives and autoguardrails alternatives (circuit-breakers markdown twin, autoguardrails markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, circuit-breakers or autoguardrails?
circuit-breakers: Dormant. autoguardrails: Active. 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 circuit-breakers and autoguardrails?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: circuit-breakers trust report; autoguardrails trust report.

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