SWE-bench
Benchmark for assessing language models' capability to resolve real-world Github issues
GraphCanon updated Oct 8, 2026 · GitHub synced Oct 8, 2026
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Decision brief
SWE-bench serves as a benchmark for assessing how well language models can tackle real-world software engineering issues from GitHub.
Good fit when
- When you need to evaluate the effectiveness of your language model in resolving practical software engineering challenges found in open-source repositories like GitHub.
- If your research or testing involves understanding how well AI systems can generalize to visual aspects of software domains, as seen in the SWE-bench Multimodal version.
Avoid when
- 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.
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Active (20d since push)
- As of Oct 8, 2026
- Provenance
- Not a fork · Organization account
- As of Oct 8, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install SWE-bench PyPISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A benchmark designed to evaluate how effectively language models can address practical software engineering challenges found in GitHub issue reports
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Oct 8, 2026
- Languages
- python
Source: github.language+pyproject.toml · Oct 8, 2026
Categories
Tags
README
✍️ Citation & license MIT license. Check . If you find our work helpful, please use the following citations. For SWE bench (Verified): For SWE bench Multimodal For SWE bench Multilingual
For agents
This page has a .md twin and JSON over the API.