Comparison
athina-evals vs raga-llm-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 raga-llm-hub if raga LLM-Hub is a Python-based framework for evaluating large language models, enforcing guardrails, and ensuring security during the operation of these models.
Markdown twin · athina-evals alternatives · raga-llm-hub alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | athina-evals | raga-llm-hub |
|---|---|---|
| Maintenance | Dormant (417d since push) As of 3w · github_public_v1 | Dormant (687d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · 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
- raga-llm-hub
- Framework for LLM evaluation, guardrails and security
Stars
- athina-evals
- 301
- raga-llm-hub
- 114
Forks
- athina-evals
- 22
- raga-llm-hub
- 14
Open issues
- athina-evals
- 3
- raga-llm-hub
- 2
Language
- athina-evals
- Python
- raga-llm-hub
- 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.
- raga-llm-hub
- Raga LLM-Hub is a Python-based framework for evaluating large language models, enforcing guardrails, and ensuring security during the operation of these models.
Persona
- athina-evals
- -
- raga-llm-hub
- -
Runtime
- athina-evals
- -
- raga-llm-hub
- -
License
- athina-evals
- -
- raga-llm-hub
- The license for Raga LLM-Hub differs from common Open Source licenses like MIT or Apache, implying specific conditions that might affect its usability in open projects.
Last pushed
- athina-evals
- Jun 6, 2025
- raga-llm-hub
- Sep 9, 2024
Categories
- athina-evals
- Evaluation & Observability
- raga-llm-hub
- Evaluation & Observability
Trust and health
Days since push
- athina-evals
- 417d
- raga-llm-hub
- 687d
Open issues (now)
- athina-evals
- 3
- raga-llm-hub
- 2
Full report
- athina-evals
- Trust report
- raga-llm-hub
- Trust report
Choose athina-evals if…
- 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
- More GitHub stars (301 vs 114) - 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 raga-llm-hub if…
- Pricing: Pricing information is not specified; it operates under a unique licensing model which may or may not have restrictive terms for commercial use..
- Requirements: Requires Python installation and environment to set up.; Installation is straightforward through pip but the broader dependencies should be checked as per project requirements..
- Tags unique to raga-llm-hub: guardrails, llm security, llmops.
- When you need to conduct detailed evaluations on large language models and require specific methods to enforce guardrails and maintain security within your application or environment.
When NOT to use raga-llm-hub
- If you are working in an environment where the use of Python is not feasible or desired, as Raga LLM-Hub's functionality is deeply integrated within Python.
- Avoid using if your primary need does not include guardrails enforcement and security features for LLMs, since Raga LLM Hub emphasizes these aspects.
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 (raga-ai-hub/raga-llm-hub) · observed Jul 29, 2026
- GitHub forks (raga-ai-hub/raga-llm-hub) · observed Jul 29, 2026
- Last push (raga-ai-hub/raga-llm-hub) · observed Sep 9, 2024
- License file (Other) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: athina-evals 301 · raga-llm-hub 114 (synced Jul 28, 2026).
Common questions
- What is the difference between athina-evals and raga-llm-hub?
- athina-evals: Python SDK for evaluating LLM generated responses. raga-llm-hub: Framework for LLM evaluation, guardrails and security. See the comparison table for live GitHub stats and shared categories.
- When should I choose athina-evals over raga-llm-hub?
- Choose athina-evals over raga-llm-hub when 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; More GitHub stars (301 vs 114) - visibility, not fit.
- When should I choose raga-llm-hub over athina-evals?
- Choose raga-llm-hub over athina-evals when Pricing: Pricing information is not specified; it operates under a unique licensing model which may or may not have restrictive terms for commercial use.; Requirements: Requires Python installation and environment to set up.; Installation is straightforward through pip but the broader dependencies should be checked as per project requirements.; Tags unique to raga-llm-hub: guardrails, llm security, llmops; When you need to conduct detailed evaluations on large language models and require specific methods to enforce guardrails and maintain security within your application or environment.
- 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 raga-llm-hub?
- If you are working in an environment where the use of Python is not feasible or desired, as Raga LLM-Hub's functionality is deeply integrated within Python. Avoid using if your primary need does not include guardrails enforcement and security features for LLMs, since Raga LLM Hub emphasizes these aspects.
- Is athina-evals or raga-llm-hub more popular on GitHub?
- athina-evals has more GitHub stars (301 vs 114). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and raga-llm-hub open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or raga-llm-hub?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and raga-llm-hub alternatives (athina-evals markdown twin, raga-llm-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 raga-llm-hub?
- athina-evals: Dormant. raga-llm-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 raga-llm-hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; raga-llm-hub trust report.