Comparison
evalplus vs SWE-bench
Verdict
Pick evalplus if evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license; 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 · evalplus alternatives · SWE-bench alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | evalplus | SWE-bench |
|---|---|---|
| Maintenance | Slowing (306d 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 published findings from this source as of 2026-07-11 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
- evalplus
- Rigorous evaluation of LLM-synthesized code
- SWE-bench
- Benchmark for assessing language models' capability to resolve real-world Github issues
Stars
- evalplus
- 1.8k
- SWE-bench
- 5.6k
Forks
- evalplus
- 205
- SWE-bench
- 930
Open issues
- evalplus
- 71
- SWE-bench
- 131
Language
- evalplus
- Python
- SWE-bench
- Python
Adopt for
- evalplus
- evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license.
- SWE-bench
- SWE-bench serves as a benchmark for assessing how well language models can tackle real-world software engineering issues from GitHub.
Persona
- evalplus
- -
- SWE-bench
- -
Runtime
- evalplus
- -
- SWE-bench
- -
License
- evalplus
- Apache-2.0
- SWE-bench
- The tool operates under the MIT license, detailed in LICENSE.md.
Last pushed
- evalplus
- Oct 2, 2025
- SWE-bench
- Jul 27, 2026
Categories
- evalplus
- Evaluation & Observability
- SWE-bench
- Evaluation & Observability
Trust and health
Maintenance
- evalplus
- Slowing (36%)
- SWE-bench
- Active (82%)
Days since push
- evalplus
- 306d
- SWE-bench
- 9d
Open issues (now)
- evalplus
- 71
- SWE-bench
- 131
OSV dependency advisories
- evalplus
- No published findings from this source as of 2026-07-11
- SWE-bench
- No lockfile (source not queried)
Full report
- evalplus
- Trust report
- SWE-bench
- Trust report
Choose evalplus if…
- License: evalplus is Apache-2.0, SWE-bench is MIT.
- Tags unique to evalplus: chatgpt, efficiency, program-synthesis, testing.
- evalplus ships Docker support for self-hosted deployment.
- When you need advanced benchmarks specific to large language model generated program synthesis, such as from GPT-4 or ChatGPT.
When NOT to use evalplus
- Avoid if you require broad language model benchmarking that is not specifically focused on program synthesis capabilities.
- Do not use evalplus if your project does not benefit from or need Docker-based isolation for code execution safety measures, such as in controlled lab environments without external dependencies.
Choose SWE-bench if…
- License: SWE-bench is MIT, evalplus is Apache-2.0.
- Tags unique to SWE-bench: 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.
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 (evalplus/evalplus) · observed Aug 5, 2026
- GitHub forks (evalplus/evalplus) · observed Aug 5, 2026
- Last push (evalplus/evalplus) · observed Oct 2, 2025
- License file (Apache-2.0) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 16, 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: evalplus 1.8k · SWE-bench 5.6k (synced Aug 5, 2026).
Common questions
- What is the difference between evalplus and SWE-bench?
- evalplus: Rigorous evaluation of LLM-synthesized code. 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 evalplus over SWE-bench?
- Choose evalplus over SWE-bench when License: evalplus is Apache-2.0, SWE-bench is MIT; Tags unique to evalplus: chatgpt, efficiency, program-synthesis, testing; evalplus ships Docker support for self-hosted deployment; When you need advanced benchmarks specific to large language model generated program synthesis, such as from GPT-4 or ChatGPT.
- When should I choose SWE-bench over evalplus?
- Choose SWE-bench over evalplus when License: SWE-bench is MIT, evalplus is Apache-2.0; Tags unique to SWE-bench: 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.
- When should I avoid evalplus?
- Avoid if you require broad language model benchmarking that is not specifically focused on program synthesis capabilities. Do not use evalplus if your project does not benefit from or need Docker-based isolation for code execution safety measures, such as in controlled lab environments without external dependencies.
- 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 evalplus or SWE-bench more popular on GitHub?
- SWE-bench has more GitHub stars (5,576 vs 1,794). Stars measure visibility, not whether either tool fits your constraints.
- Are evalplus and SWE-bench open source?
- Yes - both are open-source projects on GitHub (evalplus: Apache-2.0, SWE-bench: MIT).
- Where can I find alternatives to evalplus or SWE-bench?
- GraphCanon lists graph-backed alternatives at evalplus alternatives and SWE-bench alternatives (evalplus 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, evalplus or SWE-bench?
- evalplus: 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 evalplus and SWE-bench?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: evalplus trust report; SWE-bench trust report.