Comparison
FullStackBench vs SWE-bench
Verdict
Pick FullStackBench if fullStackBench is a benchmark tool to evaluate large language models in full-stack coding across 16 languages, using 3K test samples; 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 · FullStackBench alternatives · SWE-bench alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | FullStackBench | SWE-bench |
|---|---|---|
| Maintenance | Dormant (455d 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
- FullStackBench
- Multilingual benchmark for evaluating LLMs in full-stack coding
- SWE-bench
- Benchmark for assessing language models' capability to resolve real-world Github issues
Stars
- FullStackBench
- 121
- SWE-bench
- 5.6k
Forks
- FullStackBench
- 10
- SWE-bench
- 930
Open issues
- FullStackBench
- 1
- SWE-bench
- 131
Language
- FullStackBench
- Python
- SWE-bench
- Python
Adopt for
- FullStackBench
- FullStackBench is a benchmark tool to evaluate large language models in full-stack coding across 16 languages, using 3K test samples.
- SWE-bench
- SWE-bench serves as a benchmark for assessing how well language models can tackle real-world software engineering issues from GitHub.
Persona
- FullStackBench
- -
- SWE-bench
- -
Runtime
- FullStackBench
- -
- SWE-bench
- -
License
- FullStackBench
- Apache-2.0
- SWE-bench
- The tool operates under the MIT license, detailed in LICENSE.md.
Last pushed
- FullStackBench
- May 7, 2025
- SWE-bench
- Jul 27, 2026
Categories
- FullStackBench
- Evaluation & Observability
- SWE-bench
- Evaluation & Observability
Trust and health
Maintenance
- FullStackBench
- Dormant (18%)
- SWE-bench
- Active (82%)
Days since push
- FullStackBench
- 455d
- SWE-bench
- 9d
Open issues (now)
- FullStackBench
- 1
- SWE-bench
- 131
OSV dependency advisories
- FullStackBench
- No published findings from this source as of 2026-07-11
- SWE-bench
- No lockfile (source not queried)
Full report
- FullStackBench
- Trust report
- SWE-bench
- Trust report
Choose FullStackBench if…
- License: FullStackBench is Apache-2.0, SWE-bench is MIT.
- Tags unique to FullStackBench: benchmarks, full stack coding, llm-evaluation.
- When you need to assess LLM performance in full-stack programming tasks covering multiple domains and languages
When NOT to use FullStackBench
- Avoid if testing scope is limited to a single or few programming languages as FullStackBench covers a wide range of languages
- Not suitable if your focus is solely on theoretical coding challenges instead of practical, full-stack tasks
Choose SWE-bench if…
- License: SWE-bench is MIT, FullStackBench is Apache-2.0.
- 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.
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 (bytedance/FullStackBench) · observed Aug 5, 2026
- GitHub forks (bytedance/FullStackBench) · observed Aug 5, 2026
- Last push (bytedance/FullStackBench) · observed May 7, 2025
- License file (Apache-2.0) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 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: FullStackBench 121 · SWE-bench 5.6k (synced Aug 5, 2026).
Common questions
- What is the difference between FullStackBench and SWE-bench?
- FullStackBench: Multilingual benchmark for evaluating LLMs in full-stack coding. 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 FullStackBench over SWE-bench?
- Choose FullStackBench over SWE-bench when License: FullStackBench is Apache-2.0, SWE-bench is MIT; Tags unique to FullStackBench: benchmarks, full stack coding, llm-evaluation; When you need to assess LLM performance in full-stack programming tasks covering multiple domains and languages.
- When should I choose SWE-bench over FullStackBench?
- Choose SWE-bench over FullStackBench when License: SWE-bench is MIT, FullStackBench is Apache-2.0; 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.
- When should I avoid FullStackBench?
- Avoid if testing scope is limited to a single or few programming languages as FullStackBench covers a wide range of languages Not suitable if your focus is solely on theoretical coding challenges instead of practical, full-stack tasks
- 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 FullStackBench or SWE-bench more popular on GitHub?
- SWE-bench has more GitHub stars (5,576 vs 121). Stars measure visibility, not whether either tool fits your constraints.
- Are FullStackBench and SWE-bench open source?
- Yes - both are open-source projects on GitHub (FullStackBench: Apache-2.0, SWE-bench: MIT).
- Where can I find alternatives to FullStackBench or SWE-bench?
- GraphCanon lists graph-backed alternatives at FullStackBench alternatives and SWE-bench alternatives (FullStackBench 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, FullStackBench or SWE-bench?
- FullStackBench: Dormant. 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 FullStackBench and SWE-bench?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FullStackBench trust report; SWE-bench trust report.