Comparison
awesome-llm-security vs SWE-bench
Verdict
Pick awesome-llm-security if awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and; pick SWE-bench if sWE-bench serves as a benchmark for assessing how well language models can tackle real-world software engineering issues from GitHub.
Markdown twin · awesome-llm-security alternatives · SWE-bench alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-llm-security | SWE-bench |
|---|---|---|
| Maintenance | Slowing (351d since push) As of 2w · github_public_v1 | Active (9d 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 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- awesome-llm-security
- A curation of tools, documents and projects about LLM Security
- SWE-bench
- Benchmark for assessing language models' capability to resolve real-world Github issues
Stars
- awesome-llm-security
- 1.7k
- SWE-bench
- 5.6k
Forks
- awesome-llm-security
- 312
- SWE-bench
- 930
Open issues
- awesome-llm-security
- 173
- SWE-bench
- 131
Language
- awesome-llm-security
- -
- SWE-bench
- Python
Adopt for
- awesome-llm-security
- Awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and
- SWE-bench
- SWE-bench serves as a benchmark for assessing how well language models can tackle real-world software engineering issues from GitHub.
Persona
- awesome-llm-security
- -
- SWE-bench
- -
Runtime
- awesome-llm-security
- -
- SWE-bench
- -
License
- awesome-llm-security
- -
- SWE-bench
- The tool operates under the MIT license, detailed in LICENSE.md.
Last pushed
- awesome-llm-security
- Aug 20, 2025
- SWE-bench
- Jul 27, 2026
Categories
- awesome-llm-security
- Evaluation & Observability
- SWE-bench
- Evaluation & Observability
Trust and health
Maintenance
- awesome-llm-security
- Slowing (36%)
- SWE-bench
- Active (82%)
Days since push
- awesome-llm-security
- 351d
- SWE-bench
- 9d
Open issues (now)
- awesome-llm-security
- 173
- SWE-bench
- 131
Full report
- awesome-llm-security
- Trust report
- SWE-bench
- Trust report
Choose awesome-llm-security if…
- Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided)..
- Tags unique to awesome-llm-security: awesome-list, llm, security.
- When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.
When NOT to use awesome-llm-security
- When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs.
- If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.
Choose SWE-bench if…
- Tags unique to SWE-bench: benchmark, language-model, software-engineering.
- When you need to evaluate the effectiveness of your language model in resolving practical software engineering challenges found in open-source repositories like GitHub.
- More GitHub stars (5.6k vs 1.7k) - visibility, not fit.
When NOT to use SWE-bench
- Do not use SWE-bench if your language model's primary application is outside the context of real-world GitHub issue resolution.
- Avoid using this tool if you are not interested in testing AI systems' capabilities across visual software domains; it's more specialized for that specific area, unlike general-purpose benchmarks.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (corca-ai/awesome-llm-security) · observed Aug 6, 2026
- GitHub forks (corca-ai/awesome-llm-security) · observed Aug 6, 2026
- Last push (corca-ai/awesome-llm-security) · observed Aug 20, 2025
- License file (unknown) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (SWE-bench/SWE-bench) · observed Aug 5, 2026
- GitHub forks (SWE-bench/SWE-bench) · observed Aug 5, 2026
- Last push (SWE-bench/SWE-bench) · observed Jul 27, 2026
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-llm-security 1.7k · SWE-bench 5.6k (synced Aug 6, 2026).
Common questions
- What is the difference between awesome-llm-security and SWE-bench?
- awesome-llm-security: A curation of tools, documents and projects about LLM Security. SWE-bench: Benchmark for assessing language models' capability to resolve real-world Github issues. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-llm-security over SWE-bench?
- Choose awesome-llm-security over SWE-bench when Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided).; Tags unique to awesome-llm-security: awesome-list, llm, security; When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.
- When should I choose SWE-bench over awesome-llm-security?
- Choose SWE-bench over awesome-llm-security when Tags unique to SWE-bench: benchmark, language-model, software-engineering; When you need to evaluate the effectiveness of your language model in resolving practical software engineering challenges found in open-source repositories like GitHub; More GitHub stars (5.6k vs 1.7k) - visibility, not fit.
- When should I avoid awesome-llm-security?
- When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs. If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.
- When should I avoid SWE-bench?
- Do not use SWE-bench if your language model's primary application is outside the context of real-world GitHub issue resolution. Avoid using this tool if you are not interested in testing AI systems' capabilities across visual software domains; it's more specialized for that specific area, unlike general-purpose benchmarks.
- Is awesome-llm-security or SWE-bench more popular on GitHub?
- SWE-bench has more GitHub stars (5,576 vs 1,672). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-llm-security and SWE-bench open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-llm-security or SWE-bench?
- GraphCanon lists graph-backed alternatives at awesome-llm-security alternatives and SWE-bench alternatives (awesome-llm-security markdown twin, SWE-bench 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, awesome-llm-security or SWE-bench?
- awesome-llm-security: Slowing. SWE-bench: 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 awesome-llm-security and SWE-bench?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-security trust report; SWE-bench trust report.