Comparison
bigcode-evaluation-harness vs LLMDebugger
Verdict
Pick bigcode-evaluation-harness if bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments; pick LLMDebugger if lLMDebugger offers step-by-step verification of runtime execution for large language models.
Markdown twin · bigcode-evaluation-harness alternatives · LLMDebugger alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | bigcode-evaluation-harness | LLMDebugger |
|---|---|---|
| Maintenance | Dormant (378d since push) As of 2w · github_public_v1 | Dormant (693d 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 | No published findings from this source as of 2026-07-11 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
- bigcode-evaluation-harness
- A framework for evaluating autoregressive code generation language models.
- LLMDebugger
- A Large Language Model Debugger verifying runtime execution step by step
Stars
- bigcode-evaluation-harness
- 1.1k
- LLMDebugger
- 587
Forks
- bigcode-evaluation-harness
- 261
- LLMDebugger
- 56
Open issues
- bigcode-evaluation-harness
- 96
- LLMDebugger
- 5
Language
- bigcode-evaluation-harness
- Python
- LLMDebugger
- Python
Adopt for
- bigcode-evaluation-harness
- bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments.
- LLMDebugger
- LLMDebugger offers step-by-step verification of runtime execution for large language models.
Persona
- bigcode-evaluation-harness
- -
- LLMDebugger
- -
Runtime
- bigcode-evaluation-harness
- -
- LLMDebugger
- -
License
- bigcode-evaluation-harness
- bigcode-evaluation-harness is distributed under the Apache-2.0 license.
- LLMDebugger
- The LLMDebugger is distributed under the Apache-2.0 license.
Last pushed
- bigcode-evaluation-harness
- Jul 22, 2025
- LLMDebugger
- Sep 10, 2024
Categories
- bigcode-evaluation-harness
- Evaluation & Observability
- LLMDebugger
- Developer Tools, Evaluation & Observability
Trust and health
Days since push
- bigcode-evaluation-harness
- 378d
- LLMDebugger
- 693d
Open issues (now)
- bigcode-evaluation-harness
- 96
- LLMDebugger
- 5
Owner type
- bigcode-evaluation-harness
- Organization
- LLMDebugger
- User
OSV dependency advisories
- bigcode-evaluation-harness
- Published findings
- LLMDebugger
- No published findings from this source as of 2026-07-11
Full report
- bigcode-evaluation-harness
- Trust report
- LLMDebugger
- Trust report
Choose bigcode-evaluation-harness if…
- Requirements: Users must have Docker installed to leverage the isolated execution environments for model output evaluation..
- Tags unique to bigcode-evaluation-harness: autoregressive models, code generation, docker, python.
- bigcode-evaluation-harness ships Docker support for self-hosted deployment.
- When you need to isolate the evaluation environment from your local development setup, ensuring that no external variables affect the outcomes of model performance assessments.
When NOT to use bigcode-evaluation-harness
- When you require real-time evaluation without the overhead of generating outputs locally and then evaluating them within isolated environments via Docker.
- If your model's evaluation process does not necessitate autoregressive setup or the security features provided by Docker, using bigcode-evaluation-harness might introduce unnecessary complexity.
Choose LLMDebugger if…
- Pricing: Free for use, based on its open-source nature with an Apache-2.0 license..
- Tags unique to LLMDebugger: acl'24, llm debugging, python debugger for ai, runtime verification.
- Also covers Developer Tools.
- When detailed step-by-step inspection of the runtime behavior of large language models is required, LLMDebugger can provide precise insights into each execution phase.
When NOT to use LLMDebugger
- Avoid using if you are only interested in higher-level performance metrics rather than the intricate details of runtime behavior, as LLMDebugger emphasizes step-by-step execution.
- Not recommended for teams lacking experience with Python or specific to this tool's installation and usage workflow that involves setting up a Conda environment.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (bigcode-project/bigcode-evaluation-harness) · observed Aug 5, 2026
- GitHub forks (bigcode-project/bigcode-evaluation-harness) · observed Aug 5, 2026
- Last push (bigcode-project/bigcode-evaluation-harness) · observed Jul 22, 2025
- License file (Apache-2.0) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (FloridSleeves/LLMDebugger) · observed Aug 5, 2026
- GitHub forks (FloridSleeves/LLMDebugger) · observed Aug 5, 2026
- Last push (FloridSleeves/LLMDebugger) · observed Sep 10, 2024
- License file (Apache-2.0) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: bigcode-evaluation-harness 1.1k · LLMDebugger 587 (synced Aug 5, 2026).
Common questions
- What is the difference between bigcode-evaluation-harness and LLMDebugger?
- bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. LLMDebugger: A Large Language Model Debugger verifying runtime execution step by step. See the comparison table for live GitHub stats and shared categories.
- When should I choose bigcode-evaluation-harness over LLMDebugger?
- Choose bigcode-evaluation-harness over LLMDebugger when Requirements: Users must have Docker installed to leverage the isolated execution environments for model output evaluation.; Tags unique to bigcode-evaluation-harness: autoregressive models, code generation, docker, python; bigcode-evaluation-harness ships Docker support for self-hosted deployment; When you need to isolate the evaluation environment from your local development setup, ensuring that no external variables affect the outcomes of model performance assessments.
- When should I choose LLMDebugger over bigcode-evaluation-harness?
- Choose LLMDebugger over bigcode-evaluation-harness when Pricing: Free for use, based on its open-source nature with an Apache-2.0 license.; Tags unique to LLMDebugger: acl'24, llm debugging, python debugger for ai, runtime verification; Also covers Developer Tools; When detailed step-by-step inspection of the runtime behavior of large language models is required, LLMDebugger can provide precise insights into each execution phase.
- When should I avoid bigcode-evaluation-harness?
- When you require real-time evaluation without the overhead of generating outputs locally and then evaluating them within isolated environments via Docker. If your model's evaluation process does not necessitate autoregressive setup or the security features provided by Docker, using bigcode-evaluation-harness might introduce unnecessary complexity.
- When should I avoid LLMDebugger?
- Avoid using if you are only interested in higher-level performance metrics rather than the intricate details of runtime behavior, as LLMDebugger emphasizes step-by-step execution. Not recommended for teams lacking experience with Python or specific to this tool's installation and usage workflow that involves setting up a Conda environment.
- Is bigcode-evaluation-harness or LLMDebugger more popular on GitHub?
- bigcode-evaluation-harness has more GitHub stars (1,055 vs 587). Stars measure visibility, not whether either tool fits your constraints.
- Are bigcode-evaluation-harness and LLMDebugger open source?
- Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, LLMDebugger: Apache-2.0).
- Where can I find alternatives to bigcode-evaluation-harness or LLMDebugger?
- GraphCanon lists graph-backed alternatives at bigcode-evaluation-harness alternatives and LLMDebugger alternatives (bigcode-evaluation-harness markdown twin, LLMDebugger 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, bigcode-evaluation-harness or LLMDebugger?
- bigcode-evaluation-harness: Dormant. LLMDebugger: 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 bigcode-evaluation-harness and LLMDebugger?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: bigcode-evaluation-harness trust report; LLMDebugger trust report.