Comparison
athina-evals vs ragas
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 ragas if ragas is a Python-based tool designed to enhance the evaluation process of Large Language Model (LLM) applications through specialized workflows and performance insights.
Markdown twin · athina-evals alternatives · ragas alternatives
GraphCanon updated Sep 20, 2026
9views this month
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Trust & integrity
| Signal | athina-evals | ragas |
|---|---|---|
| Maintenance | Dormant (470d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (207d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) 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
- athina-evals
- Python SDK for evaluating LLM generated responses
- ragas
- Supercharge Your LLM Application Evaluations 🚀
Stars
- athina-evals
- 301
- ragas
- 16k
Forks
- athina-evals
- 22
- ragas
- 1.7k
Open issues
- athina-evals
- 4
- ragas
- 601
Language
- athina-evals
- Python
- ragas
- 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.
- ragas
- Ragas is a Python-based tool designed to enhance the evaluation process of Large Language Model (LLM) applications through specialized workflows and performance insights.
Persona
- athina-evals
- -
- ragas
- developer harness
Runtime
- athina-evals
- -
- ragas
- -
License
- athina-evals
- -
- ragas
- Apache-2.0
Last pushed
- athina-evals
- Jun 6, 2025
- ragas
- Feb 24, 2026
Categories
- athina-evals
- Evaluation & Observability
- ragas
- Evaluation & Observability
Trust and health
Maintenance
- athina-evals
- Dormant (18%)
- ragas
- Slowing (36%)
Days since push
- athina-evals
- 470d
- ragas
- 207d
Open issues (now)
- athina-evals
- 4
- ragas
- 601
Stars delta
- athina-evals
- 0 (30d)
- ragas
- +395 (30d)
Open issues delta
- athina-evals
- +1 (30d)
- ragas
- +39 (30d)
Full report
- athina-evals
- Trust report
- ragas
- 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
- Leaner open-issue backlog (4).
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 ragas if…
- Requirements: Min 4 GB RAM.
- Tags unique to ragas: llm, llmops.
- When you need advanced tools tailored for evaluating LLM applications, as RAGAS offers specific optimizations not found in generic testing frameworks.
When NOT to use ragas
- If your application does not involve Large Language Models or if the evaluation needs are basic; RAGAS is optimized for LLM-specific evaluations which may be overkill for simpler systems.
- For projects that require real-time monitoring or continuous testing of live models where more dynamic observability tools might offer better support.
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 Sep 20, 2026
- GitHub forks (athina-ai/athina-evals) · observed Sep 20, 2026
- Last push (athina-ai/athina-evals) · observed Jun 6, 2025
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (vibrantlabsai/ragas) · observed Sep 20, 2026
- GitHub forks (vibrantlabsai/ragas) · observed Sep 20, 2026
- Last push (vibrantlabsai/ragas) · observed Feb 24, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: athina-evals 301 · ragas 16k (synced Sep 20, 2026).
Common questions
- What is the difference between athina-evals and ragas?
- athina-evals: Python SDK for evaluating LLM generated responses. ragas: Supercharge Your LLM Application Evaluations 🚀. See the comparison table for live GitHub stats and shared categories.
- When should I choose athina-evals over ragas?
- Choose athina-evals over ragas 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; Leaner open-issue backlog (4).
- When should I choose ragas over athina-evals?
- Choose ragas over athina-evals when Requirements: Min 4 GB RAM; Tags unique to ragas: llm, llmops; When you need advanced tools tailored for evaluating LLM applications, as RAGAS offers specific optimizations not found in generic testing frameworks.
- 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 ragas?
- If your application does not involve Large Language Models or if the evaluation needs are basic; RAGAS is optimized for LLM-specific evaluations which may be overkill for simpler systems. For projects that require real-time monitoring or continuous testing of live models where more dynamic observability tools might offer better support.
- Is athina-evals or ragas more popular on GitHub?
- ragas has more GitHub stars (15,783 vs 301). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and ragas open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or ragas?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and ragas alternatives (athina-evals markdown twin, ragas 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 ragas?
- athina-evals: Dormant. ragas: Slowing. 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 ragas?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; ragas trust report.