--- title: "athina-evals vs giskard-oss" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/athina-ai-athina-evals-vs-giskard-ai-giskard-oss" tools: ["athina-ai-athina-evals", "giskard-ai-giskard-oss"] --- # athina-evals vs giskard-oss *GraphCanon updated Aug 2, 2026* ## 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. [athina-evals](https://docs.athina.ai) reports 301 GitHub stars, 22 forks, and 3 open issues, last pushed Jun 6, 2025. [giskard-oss](https://docs.giskard.ai) has 5.7k stars, 511 forks, and 92 open issues, last pushed Aug 1, 2026. Figures are from public GitHub metadata via [athina-evals's repository](https://github.com/athina-ai/athina-evals) and [giskard-oss's repository](https://github.com/Giskard-AI/giskard-oss). | | [athina-evals](/tools/athina-ai-athina-evals.md) | [giskard-oss](/tools/giskard-ai-giskard-oss.md) | | --- | --- | --- | | Tagline | Python SDK for evaluating LLM generated responses | Open-Source Evaluation & Testing library for LLM Agents | | Stars | 301 | 5,727 | | Forks | 22 | 511 | | Open issues | 3 | 92 | | Language | Python | Python | | Adopt for | athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks. | 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 | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [athina-evals](/tools/athina-ai-athina-evals.md) | [giskard-oss](/tools/giskard-ai-giskard-oss.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 417d | 0d | | Open issues (now) | 3 | 92 | | Full report | [trust report](/tools/athina-ai-athina-evals/trust.md) | [trust report](/tools/giskard-ai-giskard-oss/trust.md) | ## Decision facts: athina-evals - **Adopt for:** athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks. ## Decision facts: giskard-oss - **Requirements:** Requires Python 3.12+ - **Adopt for:** 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. ## Choose when ### 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). ### 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 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 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. ## 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](/tools/athina-ai-athina-evals/alternatives) and [giskard-oss alternatives](/tools/giskard-ai-giskard-oss/alternatives) ([athina-evals markdown twin](/tools/athina-ai-athina-evals/alternatives.md), [giskard-oss markdown twin](/tools/giskard-ai-giskard-oss/alternatives.md)), 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](/compare/athina-ai-athina-evals-vs-giskard-ai-giskard-oss.md) 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](/tools/athina-ai-athina-evals/trust); [giskard-oss trust report](/tools/giskard-ai-giskard-oss/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=athina-ai-athina-evals`](/api/graphcanon/graph?tool=athina-ai-athina-evals) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_