Comparison
athina-evals vs futureagi-sdk
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 futureagi-sdk if futureagi-sdk is a production-grade SDK for AI evaluation, prompt management, and observability, offering automated evaluations with sub-100ms guardrails and support for Python and TypeScript.
Markdown twin · athina-evals alternatives · futureagi-sdk alternatives
GraphCanon updated Sep 20, 2026
15views this month
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Trust & integrity
| Signal | athina-evals | futureagi-sdk |
|---|---|---|
| Maintenance | Dormant (470d since push) As of Sep 20, 2026 · github_public_v1 | Steady (71d since push) As of Sep 18, 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 18, 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 Sep 18, 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
- futureagi-sdk
- Production-grade AI evaluation, prompt management & observability SDK
Stars
- athina-evals
- 301
- futureagi-sdk
- 51
Forks
- athina-evals
- 22
- futureagi-sdk
- 8
Open issues
- athina-evals
- 4
- futureagi-sdk
- 4
Language
- athina-evals
- Python
- futureagi-sdk
- 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.
- futureagi-sdk
- futureagi-sdk is a production-grade SDK for AI evaluation, prompt management, and observability, offering automated evaluations with sub-100ms guardrails and support for Python and TypeScript.
Persona
- athina-evals
- -
- futureagi-sdk
- -
Runtime
- athina-evals
- -
- futureagi-sdk
- -
License
- athina-evals
- -
- futureagi-sdk
- Apache-2.0
Last pushed
- athina-evals
- Jun 6, 2025
- futureagi-sdk
- Jul 8, 2026
Categories
- athina-evals
- Evaluation & Observability
- futureagi-sdk
- Evaluation & Observability
Trust and health
Maintenance
- athina-evals
- Dormant (18%)
- futureagi-sdk
- Steady (60%)
Days since push
- athina-evals
- 470d
- futureagi-sdk
- 71d
Stars delta
- athina-evals
- 0 (30d)
- futureagi-sdk
- +3 (30d)
Full report
- athina-evals
- Trust report
- futureagi-sdk
- 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 51) - 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 futureagi-sdk if…
- Pricing: The SDK is available under the Apache-2.0 license, which is free to use, but additional services or features may be available on a paid basis..
- Requirements: Min 2 GB RAM; Ensure your development environment supports Python or TypeScript for seamless integration..
- Tags unique to futureagi-sdk: ai, ai-agents, annotations, dataset.
- When you need automated evaluations with sub-100ms guardrails, ensuring fast and efficient performance without the need for human intervention.
When NOT to use futureagi-sdk
- If your project strictly requires a single programming language and does not benefit from the dual support of Python and TypeScript.
- When your evaluation process requires human oversight at every step, as futureagi-sdk is designed for automated evaluations without human-in-the-loop.
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 (future-agi/futureagi-sdk) · observed Sep 20, 2026
- GitHub forks (future-agi/futureagi-sdk) · observed Sep 20, 2026
- Last push (future-agi/futureagi-sdk) · observed Jul 8, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: athina-evals 301 · futureagi-sdk 51 (synced Sep 20, 2026).
Common questions
- What is the difference between athina-evals and futureagi-sdk?
- athina-evals: Python SDK for evaluating LLM generated responses. futureagi-sdk: Production-grade AI evaluation, prompt management & observability SDK. See the comparison table for live GitHub stats and shared categories.
- When should I choose athina-evals over futureagi-sdk?
- Choose athina-evals over futureagi-sdk 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 51) - visibility, not fit.
- When should I choose futureagi-sdk over athina-evals?
- Choose futureagi-sdk over athina-evals when Pricing: The SDK is available under the Apache-2.0 license, which is free to use, but additional services or features may be available on a paid basis.; Requirements: Min 2 GB RAM; Ensure your development environment supports Python or TypeScript for seamless integration.; Tags unique to futureagi-sdk: ai, ai-agents, annotations, dataset; When you need automated evaluations with sub-100ms guardrails, ensuring fast and efficient performance without the need for human intervention.
- 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 futureagi-sdk?
- If your project strictly requires a single programming language and does not benefit from the dual support of Python and TypeScript. When your evaluation process requires human oversight at every step, as futureagi-sdk is designed for automated evaluations without human-in-the-loop.
- Is athina-evals or futureagi-sdk more popular on GitHub?
- athina-evals has more GitHub stars (301 vs 51). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and futureagi-sdk open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or futureagi-sdk?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and futureagi-sdk alternatives (athina-evals markdown twin, futureagi-sdk 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 futureagi-sdk?
- athina-evals: Dormant. futureagi-sdk: 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 athina-evals and futureagi-sdk?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; futureagi-sdk trust report.