alibaba / sec-code-bench
SecCodeBench is a benchmark suite focusing on evaluating the security of code generated by large language models (LLMs).
Why this job: says: benchmark; topics: benchmark
What it does
SecCodeBench is a benchmark suite for evaluating the security of AI-generated code, specifically designed for modern Agentic Coding Tool. It is jointly developed by Alibaba Group in collaboration with the the Institute for Network Sciences and Cyberspace at Tsinghua University, the School of CyberScience and Technology at Zhejiang University, Fudan University, and Peking University.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 28 days ago
- Stars
- 138
- +2 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.2.0
- Released 8 months ago
- Built with
- Python
- 37% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 83% closed
- 1 still open
- Pull requests
- 14 merged
- 2 waiting
- Releases
- 4
- 2 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 37%
- Java 33%
- C 16%
- Go 10%
Topics
- benchmark
- datasets
- llm
- security
Project record
- JobEvals and observability
- StatusListed
- Commits34
- Forks20
- Watching0
- Stars in 28 days+3
- CreatedJul 7, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026