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SWE-bench

SWE-bench/SWE-bench

Benchmark for assessing language models' capability to resolve real-world Github issues

GraphCanon updated Oct 8, 2026 · GitHub synced Oct 8, 2026

39views this month

6.0k stars1.0k forksLast push Sep 18, 2026 Python MIT

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
PyPI

Similar 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.

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