Comparison
bigcode-evaluation-harness vs FullStackBench
Verdict
Pick bigcode-evaluation-harness if bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments; pick FullStackBench if fullStackBench is a benchmark tool to evaluate large language models in full-stack coding across 16 languages, using 3K test samples.
Markdown twin · bigcode-evaluation-harness alternatives · FullStackBench alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | bigcode-evaluation-harness | FullStackBench |
|---|---|---|
| Maintenance | Dormant (378d since push) As of 2w · github_public_v1 | Dormant (455d 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 | Published findings 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
- bigcode-evaluation-harness
- A framework for evaluating autoregressive code generation language models.
- FullStackBench
- Multilingual benchmark for evaluating LLMs in full-stack coding
Stars
- bigcode-evaluation-harness
- 1.1k
- FullStackBench
- 121
Forks
- bigcode-evaluation-harness
- 261
- FullStackBench
- 10
Open issues
- bigcode-evaluation-harness
- 96
- FullStackBench
- 1
Language
- bigcode-evaluation-harness
- Python
- FullStackBench
- Python
Adopt for
- bigcode-evaluation-harness
- bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments.
- FullStackBench
- FullStackBench is a benchmark tool to evaluate large language models in full-stack coding across 16 languages, using 3K test samples.
Persona
- bigcode-evaluation-harness
- -
- FullStackBench
- -
Runtime
- bigcode-evaluation-harness
- -
- FullStackBench
- -
License
- bigcode-evaluation-harness
- bigcode-evaluation-harness is distributed under the Apache-2.0 license.
- FullStackBench
- Apache-2.0
Last pushed
- bigcode-evaluation-harness
- Jul 22, 2025
- FullStackBench
- May 7, 2025
Categories
- bigcode-evaluation-harness
- Evaluation & Observability
- FullStackBench
- Evaluation & Observability
Trust and health
Days since push
- bigcode-evaluation-harness
- 378d
- FullStackBench
- 455d
Open issues (now)
- bigcode-evaluation-harness
- 96
- FullStackBench
- 1
OSV dependency advisories
- bigcode-evaluation-harness
- Published findings
- FullStackBench
- No published findings from this source as of 2026-07-11
Full report
- bigcode-evaluation-harness
- Trust report
- FullStackBench
- Trust report
Choose bigcode-evaluation-harness if…
- Requirements: Users must have Docker installed to leverage the isolated execution environments for model output evaluation..
- Tags unique to bigcode-evaluation-harness: autoregressive models, code generation, docker, python.
- bigcode-evaluation-harness ships Docker support for self-hosted deployment.
- When you need to isolate the evaluation environment from your local development setup, ensuring that no external variables affect the outcomes of model performance assessments.
When NOT to use bigcode-evaluation-harness
- When you require real-time evaluation without the overhead of generating outputs locally and then evaluating them within isolated environments via Docker.
- If your model's evaluation process does not necessitate autoregressive setup or the security features provided by Docker, using bigcode-evaluation-harness might introduce unnecessary complexity.
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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (bigcode-project/bigcode-evaluation-harness) · observed Aug 5, 2026
- GitHub forks (bigcode-project/bigcode-evaluation-harness) · observed Aug 5, 2026
- Last push (bigcode-project/bigcode-evaluation-harness) · observed Jul 22, 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 (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 on cards: bigcode-evaluation-harness 1.1k · FullStackBench 121 (synced Aug 5, 2026).
Common questions
- What is the difference between bigcode-evaluation-harness and FullStackBench?
- bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. FullStackBench: Multilingual benchmark for evaluating LLMs in full-stack coding. See the comparison table for live GitHub stats and shared categories.
- When should I choose bigcode-evaluation-harness over FullStackBench?
- Choose bigcode-evaluation-harness over FullStackBench when Requirements: Users must have Docker installed to leverage the isolated execution environments for model output evaluation.; Tags unique to bigcode-evaluation-harness: autoregressive models, code generation, docker, python; bigcode-evaluation-harness ships Docker support for self-hosted deployment; When you need to isolate the evaluation environment from your local development setup, ensuring that no external variables affect the outcomes of model performance assessments.
- When should I choose FullStackBench over bigcode-evaluation-harness?
- Choose FullStackBench over bigcode-evaluation-harness 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 avoid bigcode-evaluation-harness?
- When you require real-time evaluation without the overhead of generating outputs locally and then evaluating them within isolated environments via Docker. If your model's evaluation process does not necessitate autoregressive setup or the security features provided by Docker, using bigcode-evaluation-harness might introduce unnecessary complexity.
- 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
- Is bigcode-evaluation-harness or FullStackBench more popular on GitHub?
- bigcode-evaluation-harness has more GitHub stars (1,055 vs 121). Stars measure visibility, not whether either tool fits your constraints.
- Are bigcode-evaluation-harness and FullStackBench open source?
- Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, FullStackBench: Apache-2.0).
- Where can I find alternatives to bigcode-evaluation-harness or FullStackBench?
- GraphCanon lists graph-backed alternatives at bigcode-evaluation-harness alternatives and FullStackBench alternatives (bigcode-evaluation-harness markdown twin, FullStackBench 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, bigcode-evaluation-harness or FullStackBench?
- bigcode-evaluation-harness: Dormant. FullStackBench: Dormant. 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 bigcode-evaluation-harness and FullStackBench?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: bigcode-evaluation-harness trust report; FullStackBench trust report.