--- title: "HLCE vs MultiPL-E" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/humanity-s-last-code-exam-hlce-vs-nuprl-multipl-e" tools: ["humanity-s-last-code-exam-hlce", "nuprl-multipl-e"] --- # HLCE vs MultiPL-E *GraphCanon updated Aug 8, 2026* ## Verdict Pick HLCE if hLCE offers evaluation scripts to assess code generation using LLMs, specifically for research purposes; pick MultiPL-E if multiPL-E is a benchmark system translating Python-based coding challenges across multiple programming languages. [HLCE](https://humanity-s-last-code-exam.github.io/website/) reports 96 GitHub stars, 8 forks, and 1 open issues, last pushed Aug 21, 2025. [MultiPL-E](https://github.com/nuprl/MultiPL-E) has 313 stars, 57 forks, and 16 open issues, last pushed Apr 12, 2026. Figures are from public GitHub metadata via [HLCE's repository](https://github.com/Humanity-s-Last-Code-Exam/HLCE) and [MultiPL-E's repository](https://github.com/nuprl/MultiPL-E). | | [HLCE](/tools/humanity-s-last-code-exam-hlce.md) | [MultiPL-E](/tools/nuprl-multipl-e.md) | | --- | --- | --- | | Tagline | Source Evaluation scripts for Humanity's Last Code Exam | A multi-programming language benchmark for LLMs | | Stars | 96 | 313 | | Forks | 8 | 57 | | Open issues | 1 | 16 | | Language | Python | Python | | Adopt for | HLCE offers evaluation scripts to assess code generation using LLMs, specifically for research purposes. | MultiPL-E is a benchmark system translating Python-based coding challenges across multiple programming languages. | | Persona | - | - | | Runtime | - | - | | License | - | Other | | Categories | Evaluation & Observability, LLM Frameworks | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [HLCE](/tools/humanity-s-last-code-exam-hlce.md) | [MultiPL-E](/tools/nuprl-multipl-e.md) | | --- | --- | --- | | Days since push | 352d | 115d | | Open issues (now) | 1 | 16 | | Full report | [trust report](/tools/humanity-s-last-code-exam-hlce/trust.md) | [trust report](/tools/nuprl-multipl-e/trust.md) | ## Decision facts: HLCE - **Adopt for:** HLCE offers evaluation scripts to assess code generation using LLMs, specifically for research purposes. ## Decision facts: MultiPL-E - **Pricing:** freemium - Free to use but requires local compute resources and potentially licensed libraries - **Adopt for:** MultiPL-E is a benchmark system translating Python-based coding challenges across multiple programming languages. - **License detail:** Other ## Choose when ### Choose HLCE if… - Tags unique to HLCE: benchmark, codegen, codellm, llm-evaluation. - When you are researching the capabilities of language models in generating code and need benchmarking tools that focus on this aspect exclusively. - Leaner open-issue backlog (1). ### Choose MultiPL-E if… - Pricing: Free to use but requires local compute resources and potentially licensed libraries. - Tags unique to MultiPL-E: ai benchmark, benchmarking, code generation, multilingual benchmark. - Use MultiPL-E for evaluating large language models' performance on code generation tasks in different languages directly without needing to create new benchmarks from scratch. ## 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. ## When NOT to use MultiPL-E - Avoid using MultiPL-E if you need a more challenging benchmark; consider Ag-LiveCodeBench-X instead. - Do not use MultiPL-E if your evaluation environment lacks GPU resources for completion generation or does not support Docker or Podman for execution of generated code. ## Common questions ### What is the difference between HLCE and MultiPL-E? HLCE: Source Evaluation scripts for Humanity's Last Code Exam. MultiPL-E: A multi-programming language benchmark for LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose HLCE over MultiPL-E? Choose HLCE over MultiPL-E when Tags unique to HLCE: benchmark, codegen, codellm, llm-evaluation; When you are researching the capabilities of language models in generating code and need benchmarking tools that focus on this aspect exclusively; Leaner open-issue backlog (1). ### When should I choose MultiPL-E over HLCE? Choose MultiPL-E over HLCE when Pricing: Free to use but requires local compute resources and potentially licensed libraries; Tags unique to MultiPL-E: ai benchmark, benchmarking, code generation, multilingual benchmark; Use MultiPL-E for evaluating large language models' performance on code generation tasks in different languages directly without needing to create new benchmarks from scratch. ### 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. ### When should I avoid MultiPL-E? Avoid using MultiPL-E if you need a more challenging benchmark; consider Ag-LiveCodeBench-X instead. Do not use MultiPL-E if your evaluation environment lacks GPU resources for completion generation or does not support Docker or Podman for execution of generated code. ### Is HLCE or MultiPL-E more popular on GitHub? MultiPL-E has more GitHub stars (313 vs 96). Stars measure visibility, not whether either tool fits your constraints. ### Are HLCE and MultiPL-E open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to HLCE or MultiPL-E? GraphCanon lists graph-backed alternatives at [HLCE alternatives](/tools/humanity-s-last-code-exam-hlce/alternatives) and [MultiPL-E alternatives](/tools/nuprl-multipl-e/alternatives) ([HLCE markdown twin](/tools/humanity-s-last-code-exam-hlce/alternatives.md), [MultiPL-E markdown twin](/tools/nuprl-multipl-e/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/humanity-s-last-code-exam-hlce-vs-nuprl-multipl-e.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, HLCE or MultiPL-E? HLCE: Slowing. MultiPL-E: 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 HLCE and MultiPL-E? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [HLCE trust report](/tools/humanity-s-last-code-exam-hlce/trust); [MultiPL-E trust report](/tools/nuprl-multipl-e/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=humanity-s-last-code-exam-hlce`](/api/graphcanon/graph?tool=humanity-s-last-code-exam-hlce) - 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/_