--- title: "cceval vs bigcode-evaluation-harness" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/amazon-science-cceval-vs-bigcode-project-bigcode-evaluation-harness" tools: ["amazon-science-cceval", "bigcode-project-bigcode-evaluation-harness"] --- # cceval vs bigcode-evaluation-harness *GraphCanon updated Aug 5, 2026* ## Verdict Pick cceval if cceval is designed for assessing cross-file code completion capabilities in multilingual environments across different setups and retrieval methods; 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. [cceval](https://crosscodeeval.github.io/) reports 182 GitHub stars, 28 forks, and 5 open issues, last pushed Aug 15, 2025. [bigcode-evaluation-harness](https://github.com/bigcode-project/bigcode-evaluation-harness) has 1.1k stars, 261 forks, and 96 open issues, last pushed Jul 22, 2025. Figures are from public GitHub metadata via [cceval's repository](https://github.com/amazon-science/cceval) and [bigcode-evaluation-harness's repository](https://github.com/bigcode-project/bigcode-evaluation-harness). | | [cceval](/tools/amazon-science-cceval.md) | [bigcode-evaluation-harness](/tools/bigcode-project-bigcode-evaluation-harness.md) | | --- | --- | --- | | Tagline | CrossCodeEval Benchmark for Cross-File Code Completion | A framework for evaluating autoregressive code generation language models. | | Stars | 182 | 1,055 | | Forks | 28 | 261 | | Open issues | 5 | 96 | | Language | Python | Python | | Adopt for | cceval is designed for assessing cross-file code completion capabilities in multilingual environments across different setups and retrieval methods. | bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | bigcode-evaluation-harness is distributed under the Apache-2.0 license. | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [cceval](/tools/amazon-science-cceval.md) | [bigcode-evaluation-harness](/tools/bigcode-project-bigcode-evaluation-harness.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 354d | 378d | | Open issues (now) | 5 | 96 | | Full report | [trust report](/tools/amazon-science-cceval/trust.md) | [trust report](/tools/bigcode-project-bigcode-evaluation-harness/trust.md) | ## Decision facts: cceval - **Adopt for:** cceval is designed for assessing cross-file code completion capabilities in multilingual environments across different setups and retrieval methods. ## 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. ## Choose when ### Choose cceval if… - Tags unique to cceval: benchmark, code-completion, cross-file, evaluation-tool. - You need to evaluate the performance of cross-file code completion systems that can handle multiple programming languages simultaneously - More recently updated (last pushed Aug 15, 2025). ### 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 cceval - Your evaluation needs are focused solely on single-file or intralingual code completion benchmarks - You require real-time data access or live updates; cceval provides pre-packaged datasets that need to be manually obtained and uncompressed ## 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. ## Common questions ### What is the difference between cceval and bigcode-evaluation-harness? cceval: CrossCodeEval Benchmark for Cross-File Code Completion. bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. See the comparison table for live GitHub stats and shared categories. ### When should I choose cceval over bigcode-evaluation-harness? Choose cceval over bigcode-evaluation-harness when Tags unique to cceval: benchmark, code-completion, cross-file, evaluation-tool; You need to evaluate the performance of cross-file code completion systems that can handle multiple programming languages simultaneously; More recently updated (last pushed Aug 15, 2025). ### When should I choose bigcode-evaluation-harness over cceval? Choose bigcode-evaluation-harness over cceval 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 avoid cceval? Your evaluation needs are focused solely on single-file or intralingual code completion benchmarks You require real-time data access or live updates; cceval provides pre-packaged datasets that need to be manually obtained and uncompressed ### 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. ### Is cceval or bigcode-evaluation-harness more popular on GitHub? bigcode-evaluation-harness has more GitHub stars (1,055 vs 182). Stars measure visibility, not whether either tool fits your constraints. ### Are cceval and bigcode-evaluation-harness open source? Yes - both are open-source projects on GitHub (cceval: Apache-2.0, bigcode-evaluation-harness: Apache-2.0). ### Where can I find alternatives to cceval or bigcode-evaluation-harness? GraphCanon lists graph-backed alternatives at [cceval alternatives](/tools/amazon-science-cceval/alternatives) and [bigcode-evaluation-harness alternatives](/tools/bigcode-project-bigcode-evaluation-harness/alternatives) ([cceval markdown twin](/tools/amazon-science-cceval/alternatives.md), [bigcode-evaluation-harness markdown twin](/tools/bigcode-project-bigcode-evaluation-harness/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/amazon-science-cceval-vs-bigcode-project-bigcode-evaluation-harness.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, cceval or bigcode-evaluation-harness? cceval: Slowing. bigcode-evaluation-harness: 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 cceval and bigcode-evaluation-harness? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [cceval trust report](/tools/amazon-science-cceval/trust); [bigcode-evaluation-harness trust report](/tools/bigcode-project-bigcode-evaluation-harness/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=amazon-science-cceval`](/api/graphcanon/graph?tool=amazon-science-cceval) - 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/_