Comparison
autoguardrails vs PROMPTPurify
Verdict
Pick autoguardrails if 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; pick PROMPTPurify if pROMPTPurify, licensed under MIT, provides an ai-safety solution with a focus on jailbreak-detection and prompt-injection-protection for LLM applications without relying on regex or signatures.
Markdown twin · autoguardrails alternatives · PROMPTPurify alternatives
GraphCanon updated Sep 20, 2026
11views this month
vs
Trust & integrity
| Signal | autoguardrails | PROMPTPurify |
|---|---|---|
| Maintenance | Active (11d since push) As of Sep 12, 2026 · github_public_v1 | Slowing (104d since push) As of Sep 13, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 12, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 13, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | Published findings As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Published findings As of Sep 20, 2026 · openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- autoguardrails
- Alignment-research scaffold for LLM guardrails involving policy evaluation and content moderation
- PROMPTPurify
- Prompt-injection guardrail for LLM applications
Stars
- autoguardrails
- 130
- PROMPTPurify
- 79
Forks
- autoguardrails
- 36
- PROMPTPurify
- 20
Open issues
- autoguardrails
- 2
- PROMPTPurify
- 0
Language
- autoguardrails
- Python
- PROMPTPurify
- TypeScript
Adopt for
- 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.
- PROMPTPurify
- PROMPTPurify, licensed under MIT, provides an ai-safety solution with a focus on jailbreak-detection and prompt-injection-protection for LLM applications without relying on regex or signatures.
Persona
- autoguardrails
- -
- PROMPTPurify
- -
Runtime
- autoguardrails
- -
- PROMPTPurify
- -
License
- autoguardrails
- Apache-2.0
- PROMPTPurify
- MIT
Last pushed
- autoguardrails
- Sep 1, 2026
- PROMPTPurify
- May 31, 2026
Categories
- autoguardrails
- Evaluation & Observability, LLM Frameworks
- PROMPTPurify
- Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- autoguardrails
- Active (82%)
- PROMPTPurify
- Slowing (36%)
Days since push
- autoguardrails
- 11d
- PROMPTPurify
- 104d
Open issues (now)
- autoguardrails
- 2
- PROMPTPurify
- 0
Stars delta
- autoguardrails
- +2 (30d)
- PROMPTPurify
- +4 (30d)
OSV dependency advisories
- autoguardrails
- No lockfile (source not queried)
- PROMPTPurify
- Published findings
OpenSSF Scorecard
- autoguardrails
- Published findings
- PROMPTPurify
- Not queried
Full report
- autoguardrails
- Trust report
- PROMPTPurify
- Trust report
Choose autoguardrails if…
- autoguardrails is primarily Python; PROMPTPurify is TypeScript.
- License: autoguardrails is Apache-2.0, PROMPTPurify 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: alignment, autoresearch, content-moderation, evaluation.
- 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.
Choose PROMPTPurify if…
- PROMPTPurify is primarily TypeScript; autoguardrails is Python.
- License: PROMPTPurify is MIT, autoguardrails is Apache-2.0.
- Pricing: The SDK and model weights of PROMPTPurify come under the MIT license, allowing free usage. However, the full extent of features or services might require a premium setup..
- Requirements: - This tool is built with TypeScript.; - Ensure familiarity with TypeScript for efficient integration..
- Tags unique to PROMPTPurify: ai-firewall, ai-security, application-security, ctf.
- - When you require compact model solutions that outperform larger open-source guards.
When NOT to use PROMPTPurify
- - Avoid using PROMPTPurify if your project requires regex or signature-based methods for security purposes, as this tool does not support them.
- - Do not use it if you are looking for comprehensive AI-security solutions that extend beyond prompt injection and jailbreak detection.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (SantanderAI/autoguardrails) · observed Sep 20, 2026
- GitHub forks (SantanderAI/autoguardrails) · observed Sep 20, 2026
- Last push (SantanderAI/autoguardrails) · observed Sep 1, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (securelayer7/PROMPTPurify) · observed Sep 20, 2026
- GitHub forks (securelayer7/PROMPTPurify) · observed Sep 20, 2026
- Last push (securelayer7/PROMPTPurify) · observed May 31, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: autoguardrails 130 · PROMPTPurify 79 (synced Sep 20, 2026).
Common questions
- What is the difference between autoguardrails and PROMPTPurify?
- autoguardrails: Alignment-research scaffold for LLM guardrails involving policy evaluation and content moderation. PROMPTPurify: Prompt-injection guardrail for LLM applications. See the comparison table for live GitHub stats and shared categories.
- When should I choose autoguardrails over PROMPTPurify?
- Choose autoguardrails over PROMPTPurify when autoguardrails is primarily Python; PROMPTPurify is TypeScript; License: autoguardrails is Apache-2.0, PROMPTPurify 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: alignment, autoresearch, content-moderation, evaluation; When you are conducting alignment research that requires systematic iteration on LLM safeguard policies.
- When should I choose PROMPTPurify over autoguardrails?
- Choose PROMPTPurify over autoguardrails when PROMPTPurify is primarily TypeScript; autoguardrails is Python; License: PROMPTPurify is MIT, autoguardrails is Apache-2.0; Pricing: The SDK and model weights of PROMPTPurify come under the MIT license, allowing free usage. However, the full extent of features or services might require a premium setup.; Requirements: - This tool is built with TypeScript.; - Ensure familiarity with TypeScript for efficient integration.; Tags unique to PROMPTPurify: ai-firewall, ai-security, application-security, ctf; - When you require compact model solutions that outperform larger open-source guards.
- 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.
- When should I avoid PROMPTPurify?
- - Avoid using PROMPTPurify if your project requires regex or signature-based methods for security purposes, as this tool does not support them. - Do not use it if you are looking for comprehensive AI-security solutions that extend beyond prompt injection and jailbreak detection.
- Is autoguardrails or PROMPTPurify more popular on GitHub?
- autoguardrails has more GitHub stars (130 vs 79). Stars measure visibility, not whether either tool fits your constraints.
- Are autoguardrails and PROMPTPurify open source?
- Yes - both are open-source projects on GitHub (autoguardrails: Apache-2.0, PROMPTPurify: MIT).
- Where can I find alternatives to autoguardrails or PROMPTPurify?
- GraphCanon lists graph-backed alternatives at autoguardrails alternatives and PROMPTPurify alternatives (autoguardrails markdown twin, PROMPTPurify 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, autoguardrails or PROMPTPurify?
- autoguardrails: Active. PROMPTPurify: 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 autoguardrails and PROMPTPurify?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autoguardrails trust report; PROMPTPurify trust report.