Comparison
athina-evals vs agent-learning-kit
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 agent-learning-kit if agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB.
Markdown twin · athina-evals alternatives · agent-learning-kit alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | athina-evals | agent-learning-kit |
|---|---|---|
| Maintenance | Dormant (417d since push) As of 4w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- agent-learning-kit
- Evaluation Framework for all your AI related Workflows
Stars
- athina-evals
- 301
- agent-learning-kit
- 118
Forks
- athina-evals
- 22
- agent-learning-kit
- 43
Open issues
- athina-evals
- 3
- agent-learning-kit
- 6
Language
- athina-evals
- Python
- agent-learning-kit
- Python
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.
- agent-learning-kit
- Agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB.
Persona
- athina-evals
- -
- agent-learning-kit
- -
Runtime
- athina-evals
- -
- agent-learning-kit
- -
License
- athina-evals
- -
- agent-learning-kit
- Apache-2.0
Last pushed
- athina-evals
- Jun 6, 2025
- agent-learning-kit
- Aug 1, 2026
Categories
- athina-evals
- Evaluation & Observability
- agent-learning-kit
- Evaluation & Observability
Trust and health
Maintenance
- athina-evals
- Dormant (18%)
- agent-learning-kit
- Very active (96%)
Days since push
- athina-evals
- 417d
- agent-learning-kit
- 0d
Open issues (now)
- athina-evals
- 3
- agent-learning-kit
- 6
Full report
- athina-evals
- Trust report
- agent-learning-kit
- Trust report
Choose athina-evals if…
- Tags unique to athina-evals: evaluation-framework, evaluation-metrics, llm-eval, llm-evaluation.
- When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics
- More GitHub stars (301 vs 118) - visibility, not fit.
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 agent-learning-kit if…
- Tags unique to agent-learning-kit: ai-agents, ci-cd, ml.
- When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed.
- More recently updated (last pushed Aug 1, 2026).
When NOT to use agent-learning-kit
- If your workflow does not align with the specific evaluation criteria and methods supported by agent-learning-kit.
- When you seek a framework that integrates with backend systems other than those provided as optional extras, such as MongoDB or DynamoDB instead of ChromaDB.
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 (future-agi/agent-learning-kit) · observed Aug 1, 2026
- GitHub forks (future-agi/agent-learning-kit) · observed Aug 1, 2026
- Last push (future-agi/agent-learning-kit) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: athina-evals 301 · agent-learning-kit 118 (synced Jul 28, 2026).
Common questions
- What is the difference between athina-evals and agent-learning-kit?
- athina-evals: Python SDK for evaluating LLM generated responses. agent-learning-kit: Evaluation Framework for all your AI related Workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose athina-evals over agent-learning-kit?
- Choose athina-evals over agent-learning-kit when Tags unique to athina-evals: evaluation-framework, evaluation-metrics, llm-eval, llm-evaluation; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; More GitHub stars (301 vs 118) - visibility, not fit.
- When should I choose agent-learning-kit over athina-evals?
- Choose agent-learning-kit over athina-evals when Tags unique to agent-learning-kit: ai-agents, ci-cd, ml; When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed; More recently updated (last pushed Aug 1, 2026).
- 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 agent-learning-kit?
- If your workflow does not align with the specific evaluation criteria and methods supported by agent-learning-kit. When you seek a framework that integrates with backend systems other than those provided as optional extras, such as MongoDB or DynamoDB instead of ChromaDB.
- Is athina-evals or agent-learning-kit more popular on GitHub?
- athina-evals has more GitHub stars (301 vs 118). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and agent-learning-kit open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or agent-learning-kit?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and agent-learning-kit alternatives (athina-evals markdown twin, agent-learning-kit 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 agent-learning-kit?
- athina-evals: Dormant. agent-learning-kit: Very active. 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 agent-learning-kit?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; agent-learning-kit trust report.