Comparison
chatgpt-plugin-eval vs BIPIA
Verdict
Pick chatgpt-plugin-eval if chatgpt-plugin-eval is an evaluation framework designed specifically to assess security, privacy, and safety concerns related to third-party plugins interfacing with large language models like ChatGPT; pick BIPIA if bIPIA, developed by Microsoft, is a benchmarking tool designed to assess the robustness and security of Large Language Models (LLMs) against indirect prompt injection attacks.
Markdown twin · chatgpt-plugin-eval alternatives · BIPIA alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | chatgpt-plugin-eval | BIPIA |
|---|---|---|
| Maintenance | Dormant (736d since push) As of 2w · github_public_v1 | Dormant (842d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | No lockfile (source not queried) As of 2w · deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | No public record from this source As of 3w · openssf-scorecard@v1 |
Tagline
- chatgpt-plugin-eval
- Framework for Evaluating Security in LLM Plugin Ecosystems
- BIPIA
- Benchmark for evaluating LLM robustness to indirect prompt injection attacks.
Stars
- chatgpt-plugin-eval
- 29
- BIPIA
- 149
Forks
- chatgpt-plugin-eval
- 7
- BIPIA
- 19
Open issues
- chatgpt-plugin-eval
- 1
- BIPIA
- 4
Language
- chatgpt-plugin-eval
- HTML
- BIPIA
- Python
Adopt for
- chatgpt-plugin-eval
- chatgpt-plugin-eval is an evaluation framework designed specifically to assess security, privacy, and safety concerns related to third-party plugins interfacing with large language models like ChatGPT.
- BIPIA
- BIPIA, developed by Microsoft, is a benchmarking tool designed to assess the robustness and security of Large Language Models (LLMs) against indirect prompt injection attacks.
Persona
- chatgpt-plugin-eval
- -
- BIPIA
- -
Runtime
- chatgpt-plugin-eval
- -
- BIPIA
- -
License
- chatgpt-plugin-eval
- The license information for chatgpt-plugin-eval is unknown.
- BIPIA
- Other
Last pushed
- chatgpt-plugin-eval
- Jul 29, 2024
- BIPIA
- Apr 15, 2024
Categories
- chatgpt-plugin-eval
- Evaluation & Observability
- BIPIA
- Evaluation & Observability
Trust and health
Days since push
- chatgpt-plugin-eval
- 736d
- BIPIA
- 842d
Open issues (now)
- chatgpt-plugin-eval
- 1
- BIPIA
- 4
deps.dev advisories
- chatgpt-plugin-eval
- Not queried
- BIPIA
- No lockfile (source not queried)
OpenSSF Scorecard
- chatgpt-plugin-eval
- Not queried
- BIPIA
- No public record from this source
Full report
- chatgpt-plugin-eval
- Trust report
- BIPIA
- Trust report
Choose chatgpt-plugin-eval if…
- chatgpt-plugin-eval is primarily HTML; BIPIA is Python.
- Tags unique to chatgpt-plugin-eval: chatgpt, llm-plugins, privacy, security.
- - When evaluating the security risks of integrating third-party services into your LLM platform through plugins
When NOT to use chatgpt-plugin-eval
- - In cases where only generic, high-level security guidance is required without an in-depth framework analysis
- - When the primary focus is on improving performance metrics rather than addressing specific security and privacy concerns of LLM plugins
Choose BIPIA if…
- BIPIA is primarily Python; chatgpt-plugin-eval is HTML.
- Requirements: For API-based model experiments (like GPT), no GPU is needed but an account's API key must be set up.; For open-source models of 13B or below, test on a machine with at least 2 V100 GPUs. For larger models over 13B, 4-8 V100 GPUs are required..
- Tags unique to BIPIA: indirect-prompt-injection-attacks, llm security, microsoft-research, python library.
- Use BIPIA when you need to evaluate your LLM's resilience specifically to indirect prompt injection attacks, a niche but critical type of adversarial attack.
When NOT to use BIPIA
- Avoid BIPIA if your primary focus is on general security enhancements without a particular emphasis on indirect prompt injection attacks.
- Not recommended for users who primarily operate outside a Linux environment, specifically Ubuntu 20.04.6, as it can significantly affect compatibility and performance.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (llm-platform-security/chatgpt-plugin-eval) · observed Aug 5, 2026
- GitHub forks (llm-platform-security/chatgpt-plugin-eval) · observed Aug 5, 2026
- Last push (llm-platform-security/chatgpt-plugin-eval) · observed Jul 29, 2024
- License file (unknown) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/BIPIA) · observed Aug 5, 2026
- GitHub forks (microsoft/BIPIA) · observed Aug 5, 2026
- Last push (microsoft/BIPIA) · observed Apr 15, 2024
- License file (Other) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: chatgpt-plugin-eval 29 · BIPIA 149 (synced Aug 5, 2026).
Common questions
- What is the difference between chatgpt-plugin-eval and BIPIA?
- chatgpt-plugin-eval: Framework for Evaluating Security in LLM Plugin Ecosystems. BIPIA: Benchmark for evaluating LLM robustness to indirect prompt injection attacks.. See the comparison table for live GitHub stats and shared categories.
- When should I choose chatgpt-plugin-eval over BIPIA?
- Choose chatgpt-plugin-eval over BIPIA when chatgpt-plugin-eval is primarily HTML; BIPIA is Python; Tags unique to chatgpt-plugin-eval: chatgpt, llm-plugins, privacy, security; - When evaluating the security risks of integrating third-party services into your LLM platform through plugins.
- When should I choose BIPIA over chatgpt-plugin-eval?
- Choose BIPIA over chatgpt-plugin-eval when BIPIA is primarily Python; chatgpt-plugin-eval is HTML; Requirements: For API-based model experiments (like GPT), no GPU is needed but an account's API key must be set up.; For open-source models of 13B or below, test on a machine with at least 2 V100 GPUs. For larger models over 13B, 4-8 V100 GPUs are required.; Tags unique to BIPIA: indirect-prompt-injection-attacks, llm security, microsoft-research, python library; Use BIPIA when you need to evaluate your LLM's resilience specifically to indirect prompt injection attacks, a niche but critical type of adversarial attack.
- When should I avoid chatgpt-plugin-eval?
- - In cases where only generic, high-level security guidance is required without an in-depth framework analysis - When the primary focus is on improving performance metrics rather than addressing specific security and privacy concerns of LLM plugins
- When should I avoid BIPIA?
- Avoid BIPIA if your primary focus is on general security enhancements without a particular emphasis on indirect prompt injection attacks. Not recommended for users who primarily operate outside a Linux environment, specifically Ubuntu 20.04.6, as it can significantly affect compatibility and performance.
- Is chatgpt-plugin-eval or BIPIA more popular on GitHub?
- BIPIA has more GitHub stars (149 vs 29). Stars measure visibility, not whether either tool fits your constraints.
- Are chatgpt-plugin-eval and BIPIA open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to chatgpt-plugin-eval or BIPIA?
- GraphCanon lists graph-backed alternatives at chatgpt-plugin-eval alternatives and BIPIA alternatives (chatgpt-plugin-eval markdown twin, BIPIA 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, chatgpt-plugin-eval or BIPIA?
- chatgpt-plugin-eval: Dormant. BIPIA: 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 chatgpt-plugin-eval and BIPIA?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chatgpt-plugin-eval trust report; BIPIA trust report.