GraphCanon updated Sep 8, 2026 · GitHub synced Sep 8, 2026
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Decision brief
HLCE offers evaluation scripts to assess code generation using LLMs, specifically for research purposes.
Good fit when
- When you are researching the capabilities of language models in generating code and need benchmarking tools that focus on this aspect exclusively.
- If your project is already licensed for research use only, as HLCE's content is intended for such settings.
Avoid when
- 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.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (383d since push)
- As of Sep 8, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 8, 2026
- Security (OSV)
- 128 low (128 low)
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install HLCESimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides evaluation scripts focusing on code generation using LLMs for research purposes.
Capability facts
- Languages
- python
Source: github.language · Sep 8, 2026
Categories
Tags
README
📄 License Usage and License Notices : The data and code are intended and licensed for research use only.
For agents
This page has a .md twin and JSON over the API.