Comparison
promptguard vs Guardrails
Verdict
Pick promptguard if promptGuard audits prompts for AI agents to ensure safe code generation; pick Guardrails if guardrails offers an open-source toolkit from NVIDIA for programmers to set safety constraints in conversational systems built on large language models.
Markdown twin · promptguard alternatives · Guardrails alternatives
GraphCanon updated Sep 12, 2026
15views this month
vs
Trust & integrity
| Signal | promptguard | Guardrails |
|---|---|---|
| Maintenance | Steady (51d since push) As of Sep 12, 2026 · github_public_v1 | Very active (0d since push) As of Sep 11, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 12, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 11, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No published findings from this source as of 2026-07-15 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 | Not queried openssf-scorecard@v1 |
Tagline
- promptguard
- Audits prompts as behavioral contracts for AI agents.
- Guardrails
- Open-source toolkit for adding programmable guardrails to LLM-based conversational systems
Stars
- promptguard
- 86
- Guardrails
- 7.1k
Forks
- promptguard
- 1
- Guardrails
- 831
Open issues
- promptguard
- 0
- Guardrails
- 228
Language
- promptguard
- Python
- Guardrails
- Python
Adopt for
- promptguard
- PromptGuard audits prompts for AI agents to ensure safe code generation.
- Guardrails
- Guardrails offers an open-source toolkit from NVIDIA for programmers to set safety constraints in conversational systems built on large language models.
Persona
- promptguard
- -
- Guardrails
- -
Runtime
- promptguard
- -
- Guardrails
- -
License
- promptguard
- MIT
- Guardrails
- The Apache License, Version 2.0 allows for free use and modification provided that the original license is included in any distribution.
Last pushed
- promptguard
- Jul 22, 2026
- Guardrails
- Sep 10, 2026
Categories
- promptguard
- AI Agents, Evaluation & Observability
- Guardrails
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- promptguard
- Steady (60%)
- Guardrails
- Very active (96%)
Days since push
- promptguard
- 51d
- Guardrails
- 0d
Open issues (now)
- promptguard
- 0
- Guardrails
- 228
Stars delta
- promptguard
- +5 (30d)
- Guardrails
- +206 (30d)
Open issues delta
- promptguard
- 0 (30d)
- Guardrails
- +23 (30d)
Owner type
- promptguard
- User
- Guardrails
- Organization
OSV dependency advisories
- promptguard
- No lockfile (source not queried)
- Guardrails
- No published findings from this source as of 2026-07-15
Full report
- promptguard
- Trust report
- Guardrails
- Trust report
Shared compatibility
- Python · promptguard: Python runtime · Guardrails: Python runtime
Choose promptguard if…
- License: promptguard is MIT, Guardrails is Other.
- Tags unique to promptguard: ai-agents, audit, prompt-engineering, safety.
- When developing AI agents that generate code and need strict adherence to safety standards
When NOT to use promptguard
- If your project does not involve prompting AI for code generation or execution
- In scenarios where real-time prompt auditing is required as it focuses on post-audit analysis
Choose Guardrails if…
- License: Guardrails is Other, promptguard is MIT.
- Requirements: Requires Python versions between 3.10 to 3.13..
- Tags unique to Guardrails: agents, generative-ai, guardrails, llm-safety.
- Guardrails ships Docker support for self-hosted deployment.
- You are working within the NVIDIA ecosystem and would benefit from its extensive support for AI applications.
When NOT to use Guardrails
- If your development does not leverage NVIDIA's technologies, using Guardrails may not provide the expected ease of integration.
- For projects that cannot use Python or require support outside of versions 3.10 to 3.13, this tool would be unsuitable.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (mturac/promptguard) · observed Sep 12, 2026
- GitHub forks (mturac/promptguard) · observed Sep 12, 2026
- Last push (mturac/promptguard) · observed Jul 22, 2026
- License file (MIT) · observed Sep 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (NVIDIA-NeMo/Guardrails) · observed Sep 11, 2026
- GitHub forks (NVIDIA-NeMo/Guardrails) · observed Sep 11, 2026
- Last push (NVIDIA-NeMo/Guardrails) · observed Sep 10, 2026
- License file (Other) · observed Sep 11, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: promptguard 86 · Guardrails 7.1k (synced Sep 12, 2026).
Common questions
- What is the difference between promptguard and Guardrails?
- promptguard: Audits prompts as behavioral contracts for AI agents.. Guardrails: Open-source toolkit for adding programmable guardrails to LLM-based conversational systems. See the comparison table for live GitHub stats and shared categories.
- When should I choose promptguard over Guardrails?
- Choose promptguard over Guardrails when License: promptguard is MIT, Guardrails is Other; Tags unique to promptguard: ai-agents, audit, prompt-engineering, safety; When developing AI agents that generate code and need strict adherence to safety standards.
- When should I choose Guardrails over promptguard?
- Choose Guardrails over promptguard when License: Guardrails is Other, promptguard is MIT; Requirements: Requires Python versions between 3.10 to 3.13.; Tags unique to Guardrails: agents, generative-ai, guardrails, llm-safety; Guardrails ships Docker support for self-hosted deployment; You are working within the NVIDIA ecosystem and would benefit from its extensive support for AI applications.
- When should I avoid promptguard?
- If your project does not involve prompting AI for code generation or execution In scenarios where real-time prompt auditing is required as it focuses on post-audit analysis
- When should I avoid Guardrails?
- If your development does not leverage NVIDIA's technologies, using Guardrails may not provide the expected ease of integration. For projects that cannot use Python or require support outside of versions 3.10 to 3.13, this tool would be unsuitable.
- Is promptguard or Guardrails more popular on GitHub?
- Guardrails has more GitHub stars (7,101 vs 86). Stars measure visibility, not whether either tool fits your constraints.
- Are promptguard and Guardrails open source?
- Yes - both are open-source projects on GitHub (promptguard: MIT, Guardrails: Other).
- Where can I find alternatives to promptguard or Guardrails?
- GraphCanon lists graph-backed alternatives at promptguard alternatives and Guardrails alternatives (promptguard markdown twin, Guardrails 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, promptguard or Guardrails?
- promptguard: Steady. Guardrails: Very 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 promptguard and Guardrails?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: promptguard trust report; Guardrails trust report.