Home/Compare/olmo-eval vs HLCE

Comparison

olmo-eval vs HLCE

Verdict

Pick olmo-eval if olmo-eval is an evaluation framework for large language models, using uv for reproducible builds. It focuses on modular task implementations and integrates with various datasets via defined tasks; pick HLCE if hLCE offers evaluation scripts to assess code generation using LLMs, specifically for research purposes.

Markdown twin · olmo-eval alternatives · HLCE alternatives

GraphCanon updated 1w

olmo-eval logo

olmo-eval

allenai/olmo-eval

65pushed Aug 6, 2026
vs
HLCE logo

HLCE

Humanity-s-Last-Code-Exam/HLCE

96pushed Aug 21, 2025

Trust & integrity

Signalolmo-evalHLCE
Maintenance
Very active (0d since push)
As of 2w · github_public_v1
Slowing (352d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 1w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
Published findings
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

olmo-eval
Olmo Evaluation Framework for LLM Tasks
HLCE
Source Evaluation scripts for Humanity's Last Code Exam

Stars

olmo-eval
65
HLCE
96

Forks

olmo-eval
14
HLCE
8

Open issues

olmo-eval
38
HLCE
1

Language

olmo-eval
Python
HLCE
Python

Adopt for

olmo-eval
Olmo-eval is an evaluation framework for large language models, using uv for reproducible builds. It focuses on modular task implementations and integrates with various datasets via defined tasks.
HLCE
HLCE offers evaluation scripts to assess code generation using LLMs, specifically for research purposes.

Persona

olmo-eval
-
HLCE
-

Runtime

olmo-eval
-
HLCE
-

License

olmo-eval
Apache-2.0
HLCE
-

Last pushed

olmo-eval
Aug 6, 2026
HLCE
Aug 21, 2025

Categories

olmo-eval
Evaluation & Observability
HLCE
Evaluation & Observability, LLM Frameworks

Trust and health

Maintenance

olmo-eval
Very active (96%)
HLCE
Slowing (36%)

Days since push

olmo-eval
0d
HLCE
352d

Open issues (now)

olmo-eval
38
HLCE
1

OSV dependency advisories

olmo-eval
No lockfile (source not queried)
HLCE
Published findings

Full report

olmo-eval
Trust report

Choose olmo-eval if…

  • Tags unique to olmo-eval: datasets, evaluation, llm, python.
  • olmo-eval ships Docker support for self-hosted deployment.
  • When you need a flexible evaluation setup that works with a variety of LLMs and datasets.

When NOT to use olmo-eval

  • When you require a simpler setup that doesn't need the reproducibility constraints of uv builds.
  • If your project already has an established evaluation toolchain and does not benefit from introducing a new framework for manageability reasons.

Choose HLCE if…

  • Tags unique to HLCE: benchmark, 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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: olmo-eval 65 · HLCE 96 (synced Aug 7, 2026).

Common questions

What is the difference between olmo-eval and HLCE?
olmo-eval: Olmo Evaluation Framework for LLM Tasks. 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 olmo-eval over HLCE?
Choose olmo-eval over HLCE when Tags unique to olmo-eval: datasets, evaluation, llm, python; olmo-eval ships Docker support for self-hosted deployment; When you need a flexible evaluation setup that works with a variety of LLMs and datasets.
When should I choose HLCE over olmo-eval?
Choose HLCE over olmo-eval when Tags unique to HLCE: benchmark, 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 olmo-eval?
When you require a simpler setup that doesn't need the reproducibility constraints of uv builds. If your project already has an established evaluation toolchain and does not benefit from introducing a new framework for manageability reasons.
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 olmo-eval or HLCE more popular on GitHub?
HLCE has more GitHub stars (96 vs 65). Stars measure visibility, not whether either tool fits your constraints.
Are olmo-eval and HLCE open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to olmo-eval or HLCE?
GraphCanon lists graph-backed alternatives at olmo-eval alternatives and HLCE alternatives (olmo-eval markdown twin, HLCE 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, olmo-eval or HLCE?
olmo-eval: Very active. 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 olmo-eval and HLCE?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: olmo-eval trust report; HLCE trust report.

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