--- title: "bigcode-evaluation-harness vs FullStackBench" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigcode-project-bigcode-evaluation-harness-vs-bytedance-fullstackbench" tools: ["bigcode-project-bigcode-evaluation-harness", "bytedance-fullstackbench"] --- # bigcode-evaluation-harness vs FullStackBench *GraphCanon updated Aug 5, 2026* ## 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. [bigcode-evaluation-harness](https://github.com/bigcode-project/bigcode-evaluation-harness) reports 1.1k GitHub stars, 261 forks, and 96 open issues, last pushed Jul 22, 2025. [FullStackBench](https://github.com/bytedance/FullStackBench) has 121 stars, 10 forks, and 1 open issues, last pushed May 7, 2025. Figures are from public GitHub metadata via [bigcode-evaluation-harness's repository](https://github.com/bigcode-project/bigcode-evaluation-harness) and [FullStackBench's repository](https://github.com/bytedance/FullStackBench). | | [bigcode-evaluation-harness](/tools/bigcode-project-bigcode-evaluation-harness.md) | [FullStackBench](/tools/bytedance-fullstackbench.md) | | --- | --- | --- | | Tagline | A framework for evaluating autoregressive code generation language models. | Multilingual benchmark for evaluating LLMs in full-stack coding | | Stars | 1,055 | 121 | | Forks | 261 | 10 | | Open issues | 96 | 1 | | Language | Python | Python | | Adopt for | bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments. | FullStackBench is a benchmark tool to evaluate large language models in full-stack coding across 16 languages, using 3K test samples. | | Persona | - | - | | Runtime | - | - | | License | bigcode-evaluation-harness is distributed under the Apache-2.0 license. | Apache-2.0 | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [bigcode-evaluation-harness](/tools/bigcode-project-bigcode-evaluation-harness.md) | [FullStackBench](/tools/bytedance-fullstackbench.md) | | --- | --- | --- | | Days since push | 378d | 455d | | Open issues (now) | 96 | 1 | | Full report | [trust report](/tools/bigcode-project-bigcode-evaluation-harness/trust.md) | [trust report](/tools/bytedance-fullstackbench/trust.md) | ## Decision facts: bigcode-evaluation-harness - **Requirements:** Users must have Docker installed to leverage the isolated execution environments for model output evaluation. - **Adopt for:** bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments. - **License detail:** bigcode-evaluation-harness is distributed under the Apache-2.0 license. ## Decision facts: FullStackBench - **Adopt for:** FullStackBench is a benchmark tool to evaluate large language models in full-stack coding across 16 languages, using 3K test samples. ## Choose when ### 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. ### 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 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 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 ## 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](/tools/bigcode-project-bigcode-evaluation-harness/alternatives) and [FullStackBench alternatives](/tools/bytedance-fullstackbench/alternatives) ([bigcode-evaluation-harness markdown twin](/tools/bigcode-project-bigcode-evaluation-harness/alternatives.md), [FullStackBench markdown twin](/tools/bytedance-fullstackbench/alternatives.md)), 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](/compare/bigcode-project-bigcode-evaluation-harness-vs-bytedance-fullstackbench.md) 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](/tools/bigcode-project-bigcode-evaluation-harness/trust); [FullStackBench trust report](/tools/bytedance-fullstackbench/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bigcode-project-bigcode-evaluation-harness`](/api/graphcanon/graph?tool=bigcode-project-bigcode-evaluation-harness) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_