Comparison
contextcheck vs auto-evaluator
Verdict
Pick contextcheck if contextcheck is a MIT-licensed framework for testing large language models, retrieval-augmented generation systems, and chatbots. It is configurable via YAML and can be integrated into CI pipelines for automated testing; 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.
Markdown twin · contextcheck alternatives · auto-evaluator alternatives
GraphCanon updated Sep 30, 2026
11views this month
vs
Trust & integrity
| Signal | contextcheck | auto-evaluator |
|---|---|---|
| Maintenance | Dormant (635d since push) As of Sep 8, 2026 · github_public_v1 | Dormant (1216d since push) As of Sep 8, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 8, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 8, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | Published findings As of Jul 11, 2026 · 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
- contextcheck
- Framework for LLMs, RAGs, Chatbots testing
- auto-evaluator
- A lightweight evaluation tool for question-answering using Langchain
Stars
- contextcheck
- 97
- auto-evaluator
- 1.1k
Forks
- contextcheck
- 11
- auto-evaluator
- 92
Open issues
- contextcheck
- 1
- auto-evaluator
- 3
Language
- contextcheck
- Python
- auto-evaluator
- Python
Adopt for
- contextcheck
- Contextcheck is a MIT-licensed framework for testing large language models, retrieval-augmented generation systems, and chatbots. It is configurable via YAML and can be integrated into CI pipelines for automated testing.
- 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
- contextcheck
- -
- auto-evaluator
- -
Runtime
- contextcheck
- -
- auto-evaluator
- -
License
- contextcheck
- MIT-licensed, allowing for free use, modification, and distribution.
- auto-evaluator
- -
Last pushed
- contextcheck
- Dec 11, 2024
- auto-evaluator
- May 10, 2023
Categories
- contextcheck
- Evaluation & Observability
- auto-evaluator
- Evaluation & Observability
Trust and health
Days since push
- contextcheck
- 635d
- auto-evaluator
- 1216d
Open issues (now)
- contextcheck
- 1
- auto-evaluator
- 3
Stars delta
- contextcheck
- +1 (30d)
- auto-evaluator
- -3 (30d)
Owner type
- contextcheck
- Organization
- auto-evaluator
- User
OSV dependency advisories
- contextcheck
- No lockfile (source not queried)
- auto-evaluator
- Published findings
Full report
- contextcheck
- Trust report
- auto-evaluator
- Trust report
Choose contextcheck if…
- Requirements: Requires Python environment.; Supports integration with CI pipelines..
- Tags unique to contextcheck: ai-chat, ai-testing, ai-testing-tool, chatbot-framework.
- When you need a framework that is specifically designed for testing large language models, retrieval-augmented generation systems, and chatbots.
When NOT to use contextcheck
- If your testing requirements do not align with the specific focus on large language models, retrieval-augmented generation systems, and chatbots.
- If you prefer a testing tool that does not require YAML configuration or CI pipeline integration.
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.
- More GitHub stars (1.1k vs 97) - visibility, not fit.
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 (Addepto/contextcheck) · observed Sep 20, 2026
- GitHub forks (Addepto/contextcheck) · observed Sep 20, 2026
- Last push (Addepto/contextcheck) · observed Dec 11, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 30, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (rlancemartin/auto-evaluator) · observed Sep 20, 2026
- GitHub forks (rlancemartin/auto-evaluator) · observed Sep 20, 2026
- Last push (rlancemartin/auto-evaluator) · observed May 10, 2023
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: contextcheck 97 · auto-evaluator 1.1k (synced Sep 20, 2026).
Common questions
- What is the difference between contextcheck and auto-evaluator?
- contextcheck: Framework for LLMs, RAGs, Chatbots testing. 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 contextcheck over auto-evaluator?
- Choose contextcheck over auto-evaluator when Requirements: Requires Python environment.; Supports integration with CI pipelines.; Tags unique to contextcheck: ai-chat, ai-testing, ai-testing-tool, chatbot-framework; When you need a framework that is specifically designed for testing large language models, retrieval-augmented generation systems, and chatbots.
- When should I choose auto-evaluator over contextcheck?
- Choose auto-evaluator over contextcheck 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; More GitHub stars (1.1k vs 97) - visibility, not fit.
- When should I avoid contextcheck?
- If your testing requirements do not align with the specific focus on large language models, retrieval-augmented generation systems, and chatbots. If you prefer a testing tool that does not require YAML configuration or CI pipeline integration.
- 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 contextcheck or auto-evaluator more popular on GitHub?
- auto-evaluator has more GitHub stars (1,102 vs 97). Stars measure visibility, not whether either tool fits your constraints.
- Are contextcheck and auto-evaluator open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to contextcheck or auto-evaluator?
- GraphCanon lists graph-backed alternatives at contextcheck alternatives and auto-evaluator alternatives (contextcheck 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, contextcheck or auto-evaluator?
- contextcheck: Dormant. 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 contextcheck and auto-evaluator?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: contextcheck trust report; auto-evaluator trust report.