Comparison
athina-evals vs giskard-oss
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 giskard-oss if giskard is an open-source library that specializes in testing and evaluating agentic systems like LLM agents using Python modules for checks and scanning vulnerabilities.
Markdown twin · athina-evals alternatives · giskard-oss alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | athina-evals | giskard-oss |
|---|---|---|
| Maintenance | Dormant (417d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization 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
- giskard-oss
- Open-Source Evaluation & Testing library for LLM Agents
Stars
- athina-evals
- 301
- giskard-oss
- 5.7k
Forks
- athina-evals
- 22
- giskard-oss
- 511
Open issues
- athina-evals
- 3
- giskard-oss
- 92
Language
- athina-evals
- Python
- giskard-oss
- 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.
- giskard-oss
- Giskard is an open-source library that specializes in testing and evaluating agentic systems like LLM agents using Python modules for checks and scanning vulnerabilities.
Persona
- athina-evals
- -
- giskard-oss
- -
Runtime
- athina-evals
- -
- giskard-oss
- -
License
- athina-evals
- -
- giskard-oss
- Apache-2.0
Last pushed
- athina-evals
- Jun 6, 2025
- giskard-oss
- Aug 1, 2026
Categories
- athina-evals
- Evaluation & Observability
- giskard-oss
- Evaluation & Observability
Trust and health
Maintenance
- athina-evals
- Dormant (18%)
- giskard-oss
- Very active (96%)
Days since push
- athina-evals
- 417d
- giskard-oss
- 0d
Open issues (now)
- athina-evals
- 3
- giskard-oss
- 92
Full report
- athina-evals
- Trust report
- giskard-oss
- Trust report
Choose athina-evals if…
- Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-evaluation-toolkit.
- When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics
- Leaner open-issue backlog (3).
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 giskard-oss if…
- Requirements: Requires Python 3.12+.
- Tags unique to giskard-oss: agent-evaluation, ai-red-team, ai-security, ai-testing.
- Use Giskard when you need a tool specialized in assessing the vulnerabilities of language model agents through red teaming and prompt injection scenarios.
When NOT to use giskard-oss
- Avoid using Giskard if you do not require comprehensive testing features like red teaming or specific checks tailored for language model agents.
- Do not use this library if your project is in a programming language other than Python, as Giskard specifically caters to the Python ecosystem.
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 (Giskard-AI/giskard-oss) · observed Aug 2, 2026
- GitHub forks (Giskard-AI/giskard-oss) · observed Aug 2, 2026
- Last push (Giskard-AI/giskard-oss) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: athina-evals 301 · giskard-oss 5.7k (synced Jul 28, 2026).
Common questions
- What is the difference between athina-evals and giskard-oss?
- athina-evals: Python SDK for evaluating LLM generated responses. giskard-oss: Open-Source Evaluation & Testing library for LLM Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose athina-evals over giskard-oss?
- Choose athina-evals over giskard-oss when Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-evaluation-toolkit; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; Leaner open-issue backlog (3).
- When should I choose giskard-oss over athina-evals?
- Choose giskard-oss over athina-evals when Requirements: Requires Python 3.12+; Tags unique to giskard-oss: agent-evaluation, ai-red-team, ai-security, ai-testing; Use Giskard when you need a tool specialized in assessing the vulnerabilities of language model agents through red teaming and prompt injection scenarios.
- 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 giskard-oss?
- Avoid using Giskard if you do not require comprehensive testing features like red teaming or specific checks tailored for language model agents. Do not use this library if your project is in a programming language other than Python, as Giskard specifically caters to the Python ecosystem.
- Is athina-evals or giskard-oss more popular on GitHub?
- giskard-oss has more GitHub stars (5,727 vs 301). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and giskard-oss open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or giskard-oss?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and giskard-oss alternatives (athina-evals markdown twin, giskard-oss 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 giskard-oss?
- athina-evals: Dormant. giskard-oss: 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 giskard-oss?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; giskard-oss trust report.