Comparison
PROMPTPurify vs IB4LLMs
Verdict
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; pick IB4LLMs if iB4LLMs (IBProtector) is an LLM jailbreak defense method using the Information Bottleneck principle to prevent adversarial prompts while preserving key information.
Markdown twin · PROMPTPurify alternatives · IB4LLMs alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | PROMPTPurify | IB4LLMs |
|---|---|---|
| Maintenance | Steady (70d since push) As of 2w · github_public_v1 | Dormant (635d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | Published findings As of 1mo · 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
- PROMPTPurify
- Prompt-injection guardrail for LLM applications
- IB4LLMs
- Protecting Your LLMs with Information Bottleneck
Stars
- PROMPTPurify
- 75
- IB4LLMs
- 25
Forks
- PROMPTPurify
- 20
- IB4LLMs
- 2
Open issues
- PROMPTPurify
- 0
- IB4LLMs
- 4
Language
- PROMPTPurify
- TypeScript
- IB4LLMs
- Python
Adopt for
- 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.
- IB4LLMs
- IB4LLMs (IBProtector) is an LLM jailbreak defense method using the Information Bottleneck principle to prevent adversarial prompts while preserving key information.
Persona
- PROMPTPurify
- -
- IB4LLMs
- -
Runtime
- PROMPTPurify
- -
- IB4LLMs
- -
License
- PROMPTPurify
- MIT
- IB4LLMs
- -
Last pushed
- PROMPTPurify
- May 31, 2026
- IB4LLMs
- Nov 7, 2024
Categories
- PROMPTPurify
- Evaluation & Observability, LLM Frameworks
- IB4LLMs
- Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- PROMPTPurify
- Steady (60%)
- IB4LLMs
- Dormant (18%)
Days since push
- PROMPTPurify
- 70d
- IB4LLMs
- 635d
Open issues (now)
- PROMPTPurify
- 0
- IB4LLMs
- 4
Owner type
- PROMPTPurify
- Organization
- IB4LLMs
- User
Full report
- PROMPTPurify
- Trust report
- IB4LLMs
- Trust report
Choose PROMPTPurify if…
- PROMPTPurify is primarily TypeScript; IB4LLMs is Python.
- 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 safety, ai-firewall, ai-security, application-security.
- - 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.
Choose IB4LLMs if…
- IB4LLMs is primarily Python; PROMPTPurify is TypeScript.
- Pricing: License information unavailable; specific model pricing not provided..
- Requirements: Dependencies include datasets==2.14.5, torch==2.1.1, transformers==4.40.1 among others..
- Tags unique to IB4LLMs: evaluation scripts, finetuning, inference, information bottleneck.
- When you need a specialized tool for guarding against jailbreaks in your language models without losing important data.
When NOT to use IB4LLMs
- If you require a more generalized model protection approach that does not rely strictly on the Information Bottleneck principle.
- When your environment lacks support for specific packages like `fschat==0.2.20` which is crucial and cannot be updated due to potential conflicts.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (securelayer7/PROMPTPurify) · observed Aug 9, 2026
- GitHub forks (securelayer7/PROMPTPurify) · observed Aug 9, 2026
- Last push (securelayer7/PROMPTPurify) · observed May 31, 2026
- License file (MIT) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (zichuan-liu/IB4LLMs) · observed Aug 5, 2026
- GitHub forks (zichuan-liu/IB4LLMs) · observed Aug 5, 2026
- Last push (zichuan-liu/IB4LLMs) · observed Nov 7, 2024
- License file (unknown) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: PROMPTPurify 75 · IB4LLMs 25 (synced Aug 9, 2026).
Common questions
- What is the difference between PROMPTPurify and IB4LLMs?
- PROMPTPurify: Prompt-injection guardrail for LLM applications. IB4LLMs: Protecting Your LLMs with Information Bottleneck. See the comparison table for live GitHub stats and shared categories.
- When should I choose PROMPTPurify over IB4LLMs?
- Choose PROMPTPurify over IB4LLMs when PROMPTPurify is primarily TypeScript; IB4LLMs is Python; 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 safety, ai-firewall, ai-security, application-security; - When you require compact model solutions that outperform larger open-source guards.
- When should I choose IB4LLMs over PROMPTPurify?
- Choose IB4LLMs over PROMPTPurify when IB4LLMs is primarily Python; PROMPTPurify is TypeScript; Pricing: License information unavailable; specific model pricing not provided.; Requirements: Dependencies include datasets==2.14.5, torch==2.1.1, transformers==4.40.1 among others.; Tags unique to IB4LLMs: evaluation scripts, finetuning, inference, information bottleneck; When you need a specialized tool for guarding against jailbreaks in your language models without losing important data.
- 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.
- When should I avoid IB4LLMs?
- If you require a more generalized model protection approach that does not rely strictly on the Information Bottleneck principle. When your environment lacks support for specific packages like
fschat==0.2.20which is crucial and cannot be updated due to potential conflicts. - Is PROMPTPurify or IB4LLMs more popular on GitHub?
- PROMPTPurify has more GitHub stars (75 vs 25). Stars measure visibility, not whether either tool fits your constraints.
- Are PROMPTPurify and IB4LLMs open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to PROMPTPurify or IB4LLMs?
- GraphCanon lists graph-backed alternatives at PROMPTPurify alternatives and IB4LLMs alternatives (PROMPTPurify markdown twin, IB4LLMs 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, PROMPTPurify or IB4LLMs?
- PROMPTPurify: Steady. IB4LLMs: Dormant. 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 PROMPTPurify and IB4LLMs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: PROMPTPurify trust report; IB4LLMs trust report.