--- title: "cceval vs HLCE" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/amazon-science-cceval-vs-humanity-s-last-code-exam-hlce" tools: ["amazon-science-cceval", "humanity-s-last-code-exam-hlce"] --- # cceval vs HLCE *GraphCanon updated Aug 8, 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 HLCE if hLCE offers evaluation scripts to assess code generation using LLMs, specifically for research purposes. [cceval](https://crosscodeeval.github.io/) reports 182 GitHub stars, 28 forks, and 5 open issues, last pushed Aug 15, 2025. [HLCE](https://humanity-s-last-code-exam.github.io/website/) has 96 stars, 8 forks, and 1 open issues, last pushed Aug 21, 2025. Figures are from public GitHub metadata via [cceval's repository](https://github.com/amazon-science/cceval) and [HLCE's repository](https://github.com/Humanity-s-Last-Code-Exam/HLCE). | | [cceval](/tools/amazon-science-cceval.md) | [HLCE](/tools/humanity-s-last-code-exam-hlce.md) | | --- | --- | --- | | Tagline | CrossCodeEval Benchmark for Cross-File Code Completion | Source Evaluation scripts for Humanity's Last Code Exam | | Stars | 182 | 96 | | Forks | 28 | 8 | | Open issues | 5 | 1 | | Language | Python | Python | | Adopt for | cceval is designed for assessing cross-file code completion capabilities in multilingual environments across different setups and retrieval methods. | HLCE offers evaluation scripts to assess code generation using LLMs, specifically for research purposes. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | Evaluation & Observability | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [cceval](/tools/amazon-science-cceval.md) | [HLCE](/tools/humanity-s-last-code-exam-hlce.md) | | --- | --- | --- | | Days since push | 354d | 352d | | Open issues (now) | 5 | 1 | | Full report | [trust report](/tools/amazon-science-cceval/trust.md) | [trust report](/tools/humanity-s-last-code-exam-hlce/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: HLCE - **Adopt for:** HLCE offers evaluation scripts to assess code generation using LLMs, specifically for research purposes. ## Choose when ### Choose cceval if… - Tags unique to cceval: code-completion, cross-file, evaluation-tool, multilingual. - You need to evaluate the performance of cross-file code completion systems that can handle multiple programming languages simultaneously - More GitHub stars (182 vs 96) - visibility, not fit. ### Choose HLCE if… - Tags unique to HLCE: codegen, codellm, llm-evaluation. - Also covers LLM Frameworks. - When you are researching the capabilities of language models in generating code and need benchmarking tools that focus on this aspect exclusively. ## 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 HLCE - If you require tools that cater to general-purpose evaluation beyond the scope of LLM code generation in a research context. - When proprietary or non-research licenses are necessary, since HLCE does not detail its licensing beyond being for research purposes only. ## Common questions ### What is the difference between cceval and HLCE? cceval: CrossCodeEval Benchmark for Cross-File Code Completion. HLCE: Source Evaluation scripts for Humanity's Last Code Exam. See the comparison table for live GitHub stats and shared categories. ### When should I choose cceval over HLCE? Choose cceval over HLCE when Tags unique to cceval: code-completion, cross-file, evaluation-tool, multilingual; You need to evaluate the performance of cross-file code completion systems that can handle multiple programming languages simultaneously; More GitHub stars (182 vs 96) - visibility, not fit. ### When should I choose HLCE over cceval? Choose HLCE over cceval when Tags unique to HLCE: codegen, codellm, llm-evaluation; Also covers LLM Frameworks; When you are researching the capabilities of language models in generating code and need benchmarking tools that focus on this aspect exclusively. ### 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 HLCE? If you require tools that cater to general-purpose evaluation beyond the scope of LLM code generation in a research context. When proprietary or non-research licenses are necessary, since HLCE does not detail its licensing beyond being for research purposes only. ### Is cceval or HLCE more popular on GitHub? cceval has more GitHub stars (182 vs 96). Stars measure visibility, not whether either tool fits your constraints. ### Are cceval and HLCE open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to cceval or HLCE? GraphCanon lists graph-backed alternatives at [cceval alternatives](/tools/amazon-science-cceval/alternatives) and [HLCE alternatives](/tools/humanity-s-last-code-exam-hlce/alternatives) ([cceval markdown twin](/tools/amazon-science-cceval/alternatives.md), [HLCE markdown twin](/tools/humanity-s-last-code-exam-hlce/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-humanity-s-last-code-exam-hlce.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, cceval or HLCE? cceval: Slowing. HLCE: 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 cceval and HLCE? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [cceval trust report](/tools/amazon-science-cceval/trust); [HLCE trust report](/tools/humanity-s-last-code-exam-hlce/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/_