Comparison
FullStackBench vs evalplus
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 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.
Markdown twin · FullStackBench alternatives · evalplus alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | FullStackBench | evalplus |
|---|---|---|
| Maintenance | Dormant (455d since push) As of 2w · github_public_v1 | Slowing (306d 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 published findings from this source as of 2026-07-11 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
- evalplus
- Rigorous evaluation of LLM-synthesized code
Stars
- FullStackBench
- 121
- evalplus
- 1.8k
Forks
- FullStackBench
- 10
- evalplus
- 205
Open issues
- FullStackBench
- 1
- evalplus
- 71
Language
- FullStackBench
- Python
- evalplus
- 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.
- 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.
Persona
- FullStackBench
- -
- evalplus
- -
Runtime
- FullStackBench
- -
- evalplus
- -
License
- FullStackBench
- Apache-2.0
- evalplus
- Apache-2.0
Last pushed
- FullStackBench
- May 7, 2025
- evalplus
- Oct 2, 2025
Categories
- FullStackBench
- Evaluation & Observability
- evalplus
- Evaluation & Observability
Trust and health
Maintenance
- FullStackBench
- Dormant (18%)
- evalplus
- Slowing (36%)
Days since push
- FullStackBench
- 455d
- evalplus
- 306d
Open issues (now)
- FullStackBench
- 1
- evalplus
- 71
Full report
- FullStackBench
- Trust report
- evalplus
- Trust report
Shared compatibility
- Python · FullStackBench: Python runtime · evalplus: Python runtime
Choose FullStackBench if…
- 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
- Leaner open-issue backlog (1).
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 evalplus if…
- Tags unique to evalplus: benchmark, chatgpt, efficiency, program-synthesis.
- 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.
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 (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 on cards: FullStackBench 121 · evalplus 1.8k (synced Aug 5, 2026).
Common questions
- What is the difference between FullStackBench and evalplus?
- FullStackBench: Multilingual benchmark for evaluating LLMs in full-stack coding. evalplus: Rigorous evaluation of LLM-synthesized code. See the comparison table for live GitHub stats and shared categories.
- When should I choose FullStackBench over evalplus?
- Choose FullStackBench over evalplus when 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; Leaner open-issue backlog (1).
- When should I choose evalplus over FullStackBench?
- Choose evalplus over FullStackBench when Tags unique to evalplus: benchmark, chatgpt, efficiency, program-synthesis; 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 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 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.
- Is FullStackBench or evalplus more popular on GitHub?
- evalplus has more GitHub stars (1,794 vs 121). Stars measure visibility, not whether either tool fits your constraints.
- Are FullStackBench and evalplus open source?
- Yes - both are open-source projects on GitHub (FullStackBench: Apache-2.0, evalplus: Apache-2.0).
- Where can I find alternatives to FullStackBench or evalplus?
- GraphCanon lists graph-backed alternatives at FullStackBench alternatives and evalplus alternatives (FullStackBench markdown twin, evalplus 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 evalplus?
- FullStackBench: Dormant. evalplus: Slowing. 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 evalplus?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FullStackBench trust report; evalplus trust report.