Comparison
chain-of-thought-hub vs simple-evals
Verdict
Pick chain-of-thought-hub when chain-of-thought-hub is primarily Jupyter Notebook; simple-evals is Python; pick simple-evals when simple-evals is primarily Python; chain-of-thought-hub is Jupyter Notebook.
Markdown twin · chain-of-thought-hub alternatives · simple-evals alternatives
GraphCanon updated today
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Trust & integrity
| Signal | chain-of-thought-hub | simple-evals |
|---|---|---|
| Maintenance | Dormant (706d since push) As of today · github_public_v1 | Steady (79d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- chain-of-thought-hub
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
- simple-evals
- simple-evals
Stars
- chain-of-thought-hub
- 2.8k
- simple-evals
- 4.6k
Forks
- chain-of-thought-hub
- 144
- simple-evals
- 493
Open issues
- chain-of-thought-hub
- 27
- simple-evals
- 56
Language
- chain-of-thought-hub
- Jupyter Notebook
- simple-evals
- Python
Adopt for
- chain-of-thought-hub
- Chain-of-Thought Hub measures the performance of large language models (LLMs) on complex tasks by using carefully selected datasets across various domains such as math, science, coding, and knowledge. It evaluates if LLM
- simple-evals
- -
Persona
- chain-of-thought-hub
- -
- simple-evals
- -
Runtime
- chain-of-thought-hub
- -
- simple-evals
- -
License
- chain-of-thought-hub
- The MIT license permits the use of Chain-of-Thought Hub in both open source and commercial projects with acknowledgment.
- simple-evals
- MIT
Last pushed
- chain-of-thought-hub
- Aug 4, 2024
- simple-evals
- Apr 22, 2026
Categories
- chain-of-thought-hub
- Evaluation & Observability
- simple-evals
- LLM Frameworks, Evaluation & Observability
Trust and health
Maintenance
- chain-of-thought-hub
- Dormant (18%)
- simple-evals
- Steady (60%)
Days since push
- chain-of-thought-hub
- 706d
- simple-evals
- 79d
Open issues (now)
- chain-of-thought-hub
- 27
- simple-evals
- 56
Owner type
- chain-of-thought-hub
- User
- simple-evals
- Organization
Full report
- chain-of-thought-hub
- Trust report
- simple-evals
- Trust report
Choose chain-of-thought-hub if…
- chain-of-thought-hub is primarily Jupyter Notebook; simple-evals is Python.
- Requirements: Min 8 GB RAM; Chain-of-Thought Hub is designed to be integrated into environments for evaluating LLMs using Jupyter Notebooks.
- Tags unique to chain-of-thought-hub: complex reasoning, chain-of-thought prompting, llm-benchmarking.
- Use Chain-of-Thought Hub when you need to benchmark smaller LLMs against larger ones for complex reasoning abilities.
When NOT to use chain-of-thought-hub
- Do not use Chain-of-Thought Hub if your focus is on general conversational capabilities rather than specific, challenging problem-solving tasks.
- Avoid this tool if you are primarily interested in simpler language processing tasks that do not involve chain-of-thought prompting or complex datasets.
Choose simple-evals if…
- simple-evals is primarily Python; chain-of-thought-hub is Jupyter Notebook.
- Tags unique to simple-evals: python.
- Also covers LLM Frameworks.
When NOT to use simple-evals
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (FranxYao/chain-of-thought-hub) · observed Jul 11, 2026
- GitHub forks (FranxYao/chain-of-thought-hub) · observed Jul 11, 2026
- Last push (FranxYao/chain-of-thought-hub) · observed Aug 4, 2024
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (openai/simple-evals) · observed Jul 11, 2026
- GitHub forks (openai/simple-evals) · observed Jul 11, 2026
- Last push (openai/simple-evals) · observed Apr 22, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: chain-of-thought-hub 2.8k · simple-evals 4.6k (synced Jul 11, 2026).
Common questions
- What is the difference between chain-of-thought-hub and simple-evals?
- chain-of-thought-hub: Benchmarking large language models' complex reasoning ability with chain-of-thought prompting. simple-evals: simple-evals. See the comparison table for live GitHub stats and shared categories.
- When should I choose chain-of-thought-hub over simple-evals?
- Choose chain-of-thought-hub over simple-evals when chain-of-thought-hub is primarily Jupyter Notebook; simple-evals is Python; Requirements: Min 8 GB RAM; Chain-of-Thought Hub is designed to be integrated into environments for evaluating LLMs using Jupyter Notebooks; Tags unique to chain-of-thought-hub: complex reasoning, chain-of-thought prompting, llm-benchmarking; Use Chain-of-Thought Hub when you need to benchmark smaller LLMs against larger ones for complex reasoning abilities.
- When should I choose simple-evals over chain-of-thought-hub?
- Choose simple-evals over chain-of-thought-hub when simple-evals is primarily Python; chain-of-thought-hub is Jupyter Notebook; Tags unique to simple-evals: python; Also covers LLM Frameworks.
- When should I avoid chain-of-thought-hub?
- Do not use Chain-of-Thought Hub if your focus is on general conversational capabilities rather than specific, challenging problem-solving tasks. Avoid this tool if you are primarily interested in simpler language processing tasks that do not involve chain-of-thought prompting or complex datasets.
- When should I avoid simple-evals?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Is chain-of-thought-hub or simple-evals more popular on GitHub?
- simple-evals has more GitHub stars (4,565 vs 2,777). Stars measure visibility, not whether either tool fits your constraints.
- Are chain-of-thought-hub and simple-evals open source?
- Yes - both are open-source projects on GitHub (chain-of-thought-hub: MIT, simple-evals: MIT).
- Where can I find alternatives to chain-of-thought-hub or simple-evals?
- GraphCanon lists graph-backed alternatives at chain-of-thought-hub alternatives and simple-evals alternatives (chain-of-thought-hub markdown twin, simple-evals 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, chain-of-thought-hub or simple-evals?
- chain-of-thought-hub: Dormant. simple-evals: Steady. 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 chain-of-thought-hub and simple-evals?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chain-of-thought-hub trust report; simple-evals trust report.