Comparison
evalplus vs LLMDebugger
Verdict
Pick evalplus if evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license; pick LLMDebugger if lLMDebugger offers step-by-step verification of runtime execution for large language models.
Markdown twin · evalplus alternatives · LLMDebugger alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | evalplus | LLMDebugger |
|---|---|---|
| Maintenance | Slowing (306d 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 | No published findings from this source as of 2026-07-11 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
- evalplus
- Rigorous evaluation of LLM-synthesized code
- LLMDebugger
- A Large Language Model Debugger verifying runtime execution step by step
Stars
- evalplus
- 1.8k
- LLMDebugger
- 587
Forks
- evalplus
- 205
- LLMDebugger
- 56
Open issues
- evalplus
- 71
- LLMDebugger
- 5
Language
- evalplus
- Python
- LLMDebugger
- Python
Adopt for
- evalplus
- evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license.
- LLMDebugger
- LLMDebugger offers step-by-step verification of runtime execution for large language models.
Persona
- evalplus
- -
- LLMDebugger
- -
Runtime
- evalplus
- -
- LLMDebugger
- -
License
- evalplus
- Apache-2.0
- LLMDebugger
- The LLMDebugger is distributed under the Apache-2.0 license.
Last pushed
- evalplus
- Oct 2, 2025
- LLMDebugger
- Sep 10, 2024
Categories
- evalplus
- Evaluation & Observability
- LLMDebugger
- Developer Tools, Evaluation & Observability
Trust and health
Maintenance
- evalplus
- Slowing (36%)
- LLMDebugger
- Dormant (18%)
Days since push
- evalplus
- 306d
- LLMDebugger
- 693d
Open issues (now)
- evalplus
- 71
- LLMDebugger
- 5
Owner type
- evalplus
- Organization
- LLMDebugger
- User
Full report
- evalplus
- Trust report
- LLMDebugger
- Trust report
Shared compatibility
- Python · evalplus: Python runtime · LLMDebugger: Python runtime
Choose evalplus if…
- Tags unique to evalplus: benchmark, chatgpt, efficiency, program-synthesis.
- evalplus ships Docker support for self-hosted deployment.
- When you need advanced benchmarks specific to large language model generated program synthesis, such as from GPT-4 or ChatGPT.
When NOT to use evalplus
- Avoid if you require broad language model benchmarking that is not specifically focused on program synthesis capabilities.
- Do not use evalplus if your project does not benefit from or need Docker-based isolation for code execution safety measures, such as in controlled lab environments without external dependencies.
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 (evalplus/evalplus) · observed Aug 5, 2026
- GitHub forks (evalplus/evalplus) · observed Aug 5, 2026
- Last push (evalplus/evalplus) · observed Oct 2, 2025
- License file (Apache-2.0) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 16, 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: evalplus 1.8k · LLMDebugger 587 (synced Aug 5, 2026).
Common questions
- What is the difference between evalplus and LLMDebugger?
- evalplus: Rigorous evaluation of LLM-synthesized code. 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 evalplus over LLMDebugger?
- Choose evalplus over LLMDebugger when Tags unique to evalplus: benchmark, chatgpt, efficiency, program-synthesis; evalplus ships Docker support for self-hosted deployment; When you need advanced benchmarks specific to large language model generated program synthesis, such as from GPT-4 or ChatGPT.
- When should I choose LLMDebugger over evalplus?
- Choose LLMDebugger over evalplus 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 evalplus?
- Avoid if you require broad language model benchmarking that is not specifically focused on program synthesis capabilities. Do not use evalplus if your project does not benefit from or need Docker-based isolation for code execution safety measures, such as in controlled lab environments without external dependencies.
- 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 evalplus or LLMDebugger more popular on GitHub?
- evalplus has more GitHub stars (1,794 vs 587). Stars measure visibility, not whether either tool fits your constraints.
- Are evalplus and LLMDebugger open source?
- Yes - both are open-source projects on GitHub (evalplus: Apache-2.0, LLMDebugger: Apache-2.0).
- Where can I find alternatives to evalplus or LLMDebugger?
- GraphCanon lists graph-backed alternatives at evalplus alternatives and LLMDebugger alternatives (evalplus 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, evalplus or LLMDebugger?
- evalplus: Slowing. 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 evalplus and LLMDebugger?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: evalplus trust report; LLMDebugger trust report.