Comparison
athina-evals vs chain-of-thought-hub
Verdict
Pick athina-evals if athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks; pick chain-of-thought-hub if 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.
Markdown twin · athina-evals alternatives · chain-of-thought-hub alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | athina-evals | chain-of-thought-hub |
|---|---|---|
| Maintenance | Dormant (417d since push) As of 3w · github_public_v1 | Dormant (732d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- athina-evals
- Python SDK for evaluating LLM generated responses
- chain-of-thought-hub
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
Stars
- athina-evals
- 301
- chain-of-thought-hub
- 2.8k
Forks
- athina-evals
- 22
- chain-of-thought-hub
- 144
Open issues
- athina-evals
- 3
- chain-of-thought-hub
- 27
Language
- athina-evals
- Python
- chain-of-thought-hub
- Jupyter Notebook
Adopt for
- athina-evals
- athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks.
- 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
Persona
- athina-evals
- -
- chain-of-thought-hub
- -
Runtime
- athina-evals
- -
- chain-of-thought-hub
- -
License
- athina-evals
- -
- chain-of-thought-hub
- The MIT license permits the use of Chain-of-Thought Hub in both open source and commercial projects with acknowledgment.
Last pushed
- athina-evals
- Jun 6, 2025
- chain-of-thought-hub
- Aug 4, 2024
Categories
- athina-evals
- Evaluation & Observability
- chain-of-thought-hub
- Evaluation & Observability
Trust and health
Days since push
- athina-evals
- 417d
- chain-of-thought-hub
- 732d
Open issues (now)
- athina-evals
- 3
- chain-of-thought-hub
- 27
Owner type
- athina-evals
- Organization
- chain-of-thought-hub
- User
Full report
- athina-evals
- Trust report
- chain-of-thought-hub
- Trust report
Choose athina-evals if…
- athina-evals is primarily Python; chain-of-thought-hub is Jupyter Notebook.
- Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval.
- When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics
When NOT to use athina-evals
- If open-source alternatives with transparent customization options are preferred over athina-evals' approach
- In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments
Choose chain-of-thought-hub if…
- chain-of-thought-hub is primarily Jupyter Notebook; athina-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: chain-of-thought prompting, complex reasoning, 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (athina-ai/athina-evals) · observed Jul 28, 2026
- GitHub forks (athina-ai/athina-evals) · observed Jul 28, 2026
- Last push (athina-ai/athina-evals) · observed Jun 6, 2025
- License file (unknown) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (FranxYao/chain-of-thought-hub) · observed Aug 6, 2026
- GitHub forks (FranxYao/chain-of-thought-hub) · observed Aug 6, 2026
- Last push (FranxYao/chain-of-thought-hub) · observed Aug 4, 2024
- License file (MIT) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: athina-evals 301 · chain-of-thought-hub 2.8k (synced Jul 28, 2026).
Common questions
- What is the difference between athina-evals and chain-of-thought-hub?
- athina-evals: Python SDK for evaluating LLM generated responses. chain-of-thought-hub: Benchmarking large language models' complex reasoning ability with chain-of-thought prompting. See the comparison table for live GitHub stats and shared categories.
- When should I choose athina-evals over chain-of-thought-hub?
- Choose athina-evals over chain-of-thought-hub when athina-evals is primarily Python; chain-of-thought-hub is Jupyter Notebook; Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics.
- When should I choose chain-of-thought-hub over athina-evals?
- Choose chain-of-thought-hub over athina-evals when chain-of-thought-hub is primarily Jupyter Notebook; athina-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: chain-of-thought prompting, complex reasoning, llm-benchmarking; Use Chain-of-Thought Hub when you need to benchmark smaller LLMs against larger ones for complex reasoning abilities.
- When should I avoid athina-evals?
- If open-source alternatives with transparent customization options are preferred over athina-evals' approach In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments
- 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.
- Is athina-evals or chain-of-thought-hub more popular on GitHub?
- chain-of-thought-hub has more GitHub stars (2,774 vs 301). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and chain-of-thought-hub open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or chain-of-thought-hub?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and chain-of-thought-hub alternatives (athina-evals markdown twin, chain-of-thought-hub 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, athina-evals or chain-of-thought-hub?
- athina-evals: Dormant. chain-of-thought-hub: 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 athina-evals and chain-of-thought-hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; chain-of-thought-hub trust report.