Comparison
HLCE vs MGDebugger
Verdict
Pick HLCE if hLCE offers evaluation scripts to assess code generation using LLMs, specifically for research purposes; pick MGDebugger if mGDebugger offers hierarchical debugging for various levels of code granularity, emphasizing efficient error resolution and improved debug accuracy.
Markdown twin · HLCE alternatives · MGDebugger alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | HLCE | MGDebugger |
|---|---|---|
| Maintenance | Slowing (352d since push) As of 2w · github_public_v1 | Dormant (395d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings 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
- HLCE
- Source Evaluation scripts for Humanity's Last Code Exam
- MGDebugger
- Multi-Granularity LLM Debugger
Stars
- HLCE
- 96
- MGDebugger
- 101
Forks
- HLCE
- 8
- MGDebugger
- 10
Open issues
- HLCE
- 1
- MGDebugger
- 0
Language
- HLCE
- Python
- MGDebugger
- Python
Adopt for
- HLCE
- HLCE offers evaluation scripts to assess code generation using LLMs, specifically for research purposes.
- MGDebugger
- MGDebugger offers hierarchical debugging for various levels of code granularity, emphasizing efficient error resolution and improved debug accuracy.
Persona
- HLCE
- -
- MGDebugger
- -
Runtime
- HLCE
- -
- MGDebugger
- -
License
- HLCE
- -
- MGDebugger
- MIT
Last pushed
- HLCE
- Aug 21, 2025
- MGDebugger
- Jul 6, 2025
Categories
- HLCE
- Evaluation & Observability, LLM Frameworks
- MGDebugger
- Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- HLCE
- Slowing (36%)
- MGDebugger
- Dormant (18%)
Days since push
- HLCE
- 352d
- MGDebugger
- 395d
Open issues (now)
- HLCE
- 1
- MGDebugger
- 0
Owner type
- HLCE
- Organization
- MGDebugger
- User
Full report
- HLCE
- Trust report
- MGDebugger
- Trust report
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.
- More recently updated (last pushed Aug 21, 2025).
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.
Choose MGDebugger if…
- Pricing: MGDebugger is free to use under MIT license but may require users to manage model hosting costs and dependencies..
- Requirements: Min 4 GB RAM; Requires Python version 3.8 or later; vLLM version 0.6.0 or later must be installed for model inference.
- Tags unique to MGDebugger: automatic-program-repair, code generation, debugger, large language models.
- When you need to perform granular analysis on complex codes, progressing from subfunctions to the whole system to ensure precise error detection and correction.
When NOT to use MGDebugger
- Avoid using MGDebugger if you operate primarily on Mac systems and do not require support for quantized models (as some essential dependencies are unsupported on MacOS).
- If your model does not align well with the DeepSeek-Coder-V2-Lite-Instruct or similar models, since the effectiveness of MGDebugger might vary without support for those particular frameworks.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Humanity-s-Last-Code-Exam/HLCE) · observed Aug 8, 2026
- GitHub forks (Humanity-s-Last-Code-Exam/HLCE) · observed Aug 8, 2026
- Last push (Humanity-s-Last-Code-Exam/HLCE) · observed Aug 21, 2025
- License file (unknown) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (YerbaPage/MGDebugger) · observed Aug 5, 2026
- GitHub forks (YerbaPage/MGDebugger) · observed Aug 5, 2026
- Last push (YerbaPage/MGDebugger) · observed Jul 6, 2025
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: HLCE 96 · MGDebugger 101 (synced Aug 8, 2026).
Common questions
- What is the difference between HLCE and MGDebugger?
- HLCE: Source Evaluation scripts for Humanity's Last Code Exam. MGDebugger: Multi-Granularity LLM Debugger. See the comparison table for live GitHub stats and shared categories.
- When should I choose HLCE over MGDebugger?
- Choose HLCE over MGDebugger 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; More recently updated (last pushed Aug 21, 2025).
- When should I choose MGDebugger over HLCE?
- Choose MGDebugger over HLCE when Pricing: MGDebugger is free to use under MIT license but may require users to manage model hosting costs and dependencies.; Requirements: Min 4 GB RAM; Requires Python version 3.8 or later; vLLM version 0.6.0 or later must be installed for model inference; Tags unique to MGDebugger: automatic-program-repair, code generation, debugger, large language models; When you need to perform granular analysis on complex codes, progressing from subfunctions to the whole system to ensure precise error detection and correction.
- 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 MGDebugger?
- Avoid using MGDebugger if you operate primarily on Mac systems and do not require support for quantized models (as some essential dependencies are unsupported on MacOS). If your model does not align well with the DeepSeek-Coder-V2-Lite-Instruct or similar models, since the effectiveness of MGDebugger might vary without support for those particular frameworks.
- Is HLCE or MGDebugger more popular on GitHub?
- MGDebugger has more GitHub stars (101 vs 96). Stars measure visibility, not whether either tool fits your constraints.
- Are HLCE and MGDebugger open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to HLCE or MGDebugger?
- GraphCanon lists graph-backed alternatives at HLCE alternatives and MGDebugger alternatives (HLCE markdown twin, MGDebugger 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, HLCE or MGDebugger?
- HLCE: Slowing. MGDebugger: 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 HLCE and MGDebugger?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: HLCE trust report; MGDebugger trust report.