Comparison
evalplus vs auto-evaluator
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 auto-evaluator if auto-evaluator is a Python-based tool designed for evaluating LLM QA chains with the capability to auto-generate question-answer pairs from user-provided documents and evaluate answers using configurations chosen via UI.
Markdown twin · evalplus alternatives · auto-evaluator alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | evalplus | auto-evaluator |
|---|---|---|
| Maintenance | Slowing (306d since push) As of 2w · github_public_v1 | Dormant (1186d 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 | 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
- evalplus
- Rigorous evaluation of LLM-synthesized code
- auto-evaluator
- A lightweight evaluation tool for question-answering using Langchain
Stars
- evalplus
- 1.8k
- auto-evaluator
- 1.1k
Forks
- evalplus
- 205
- auto-evaluator
- 92
Open issues
- evalplus
- 71
- auto-evaluator
- 3
Language
- evalplus
- Python
- auto-evaluator
- 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.
- auto-evaluator
- Auto-evaluator is a Python-based tool designed for evaluating LLM QA chains with the capability to auto-generate question-answer pairs from user-provided documents and evaluate answers using configurations chosen via UI.
Persona
- evalplus
- -
- auto-evaluator
- -
Runtime
- evalplus
- -
- auto-evaluator
- -
License
- evalplus
- Apache-2.0
- auto-evaluator
- -
Last pushed
- evalplus
- Oct 2, 2025
- auto-evaluator
- May 10, 2023
Categories
- evalplus
- Evaluation & Observability
- auto-evaluator
- Evaluation & Observability
Trust and health
Maintenance
- evalplus
- Slowing (36%)
- auto-evaluator
- Dormant (18%)
Days since push
- evalplus
- 306d
- auto-evaluator
- 1186d
Open issues (now)
- evalplus
- 71
- auto-evaluator
- 3
Owner type
- evalplus
- Organization
- auto-evaluator
- User
OSV dependency advisories
- evalplus
- No published findings from this source as of 2026-07-11
- auto-evaluator
- Published findings
Full report
- evalplus
- Trust report
- auto-evaluator
- Trust report
Shared compatibility
- Python · evalplus: Python runtime · auto-evaluator: 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 auto-evaluator if…
- Tags unique to auto-evaluator: evaluation, gpt-3.5-turbo, langchain, llm.
- Use when you need a lightweight solution for testing question-answering capabilities of Langchain models.
- Leaner open-issue backlog (3).
When NOT to use auto-evaluator
- Avoid using this tool when you do not have access to an OpenAI API key providing access to GPT-4, as it uses that by default for optimal settings.
- If you are looking for a tool that does not require you to input documents for question generation and prefer a more customized prompt approach rather than the auto-generation feature.
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 (rlancemartin/auto-evaluator) · observed Aug 8, 2026
- GitHub forks (rlancemartin/auto-evaluator) · observed Aug 8, 2026
- Last push (rlancemartin/auto-evaluator) · observed May 10, 2023
- License file (unknown) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: evalplus 1.8k · auto-evaluator 1.1k (synced Aug 5, 2026).
Common questions
- What is the difference between evalplus and auto-evaluator?
- evalplus: Rigorous evaluation of LLM-synthesized code. auto-evaluator: A lightweight evaluation tool for question-answering using Langchain. See the comparison table for live GitHub stats and shared categories.
- When should I choose evalplus over auto-evaluator?
- Choose evalplus over auto-evaluator 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 auto-evaluator over evalplus?
- Choose auto-evaluator over evalplus when Tags unique to auto-evaluator: evaluation, gpt-3.5-turbo, langchain, llm; Use when you need a lightweight solution for testing question-answering capabilities of Langchain models; Leaner open-issue backlog (3).
- 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 auto-evaluator?
- Avoid using this tool when you do not have access to an OpenAI API key providing access to GPT-4, as it uses that by default for optimal settings. If you are looking for a tool that does not require you to input documents for question generation and prefer a more customized prompt approach rather than the auto-generation feature.
- Is evalplus or auto-evaluator more popular on GitHub?
- evalplus has more GitHub stars (1,794 vs 1,105). Stars measure visibility, not whether either tool fits your constraints.
- Are evalplus and auto-evaluator open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to evalplus or auto-evaluator?
- GraphCanon lists graph-backed alternatives at evalplus alternatives and auto-evaluator alternatives (evalplus markdown twin, auto-evaluator 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 auto-evaluator?
- evalplus: Slowing. auto-evaluator: 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 auto-evaluator?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: evalplus trust report; auto-evaluator trust report.