--- title: "casdoor vs evals" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/casdoor-casdoor-vs-openai-evals" tools: ["casdoor-casdoor", "openai-evals"] --- # casdoor vs evals *GraphCanon updated Jul 11, 2026* ## Verdict Pick casdoor if casdoor is an open-source solution for identity and access management (IAM), with robust agent-first capabilities that integrate with various authentication protocols including OAuth, OIDC, SAML, CAS, LDAP, SCIM, WebAuth; pick evals if evals is an evaluation framework from OpenAI for assessing large language models and systems built with them. It includes an open-source registry of benchmarks and. [casdoor](https://casdoor.ai) reports 14k GitHub stars, 1.7k forks, and 100 open issues, last pushed Jul 10, 2026. [evals](https://github.com/openai/evals) has 19k stars, 3.0k forks, and 217 open issues, last pushed Apr 14, 2026. Figures are from public GitHub metadata via [casdoor's repository](https://github.com/casdoor/casdoor) and [evals's repository](https://github.com/openai/evals). | | [casdoor](/tools/casdoor-casdoor.md) | [evals](/tools/openai-evals.md) | | --- | --- | --- | | Tagline | An open-source Agent-first Identity and Access Management (IAM) / LLM MCP & agent gateway and auth server | Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks. | | Stars | 13,923 | 18,890 | | Forks | 1,734 | 3,017 | | Open issues | 100 | 217 | | Language | Go | Python | | Adopt for | Casdoor is an open-source solution for identity and access management (IAM), with robust agent-first capabilities that integrate with various authentication protocols including OAuth, OIDC, SAML, CAS, LDAP, SCIM, WebAuth | Evals is an evaluation framework from OpenAI for assessing large language models and systems built with them. It includes an open-source registry of benchmarks and tools to create custom evaluations. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | AI Agents, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [casdoor](/tools/casdoor-casdoor.md) | [evals](/tools/openai-evals.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 87d | | Open issues (now) | 100 | 217 | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/casdoor-casdoor/trust.md) | [trust report](/tools/openai-evals/trust.md) | ## Decision facts: casdoor - **Adopt for:** Casdoor is an open-source solution for identity and access management (IAM), with robust agent-first capabilities that integrate with various authentication protocols including OAuth, OIDC, SAML, CAS, LDAP, SCIM, WebAuth ## Decision facts: evals - **Adopt for:** Evals is an evaluation framework from OpenAI for assessing large language models and systems built with them. It includes an open-source registry of benchmarks and tools to create custom evaluations. ## Choose when ### Choose casdoor if… - casdoor is primarily Go; evals is Python. - License: casdoor is Apache-2.0, evals is Other. - Tags unique to casdoor: iam, authentication, llm, auth. - Also covers AI Agents. - casdoor ships Docker support for self-hosted deployment. - When you require a comprehensive IAM tool that supports multiple authentication methods such as OAuth, OIDC, SAML, CAS, LDAP, and more. ### Choose evals if… - evals is primarily Python; casdoor is Go. - License: evals is Other, casdoor is Apache-2.0. - Tags unique to evals: llm systems, large-language-models, use case testing, open-source. - * When you need a comprehensive set of pre-existing evals and the ability to create your own tailored tests using specific use cases, especially within the OpenAI model ecosystem. ## When NOT to use casdoor - If your project requires proprietary technology exclusivity and cannot utilize open-source tools like Casdoor licensed under Apache-2.0. - When the depth of integration with specific authentication methods (e.g., some advanced SAML configurations) is critical, and you find that other competitors offer more specialized or better-detailed/ - +customizable versions of support for those methods. - If your environment strictly requires closed-source components for security reasons, thus Casdoor would not be a suitable choice due to its open nature. ## When NOT to use evals - * When evaluating models or systems that do not benefit from being integrated with the OpenAI API, as some features like direct evals configuration in the OpenAI Dashboard require an OpenAI key. - * If you are looking for an evaluation framework that doesn’t involve external dependencies such as Git Large File Storage (LFS) and specific Python version requirements (Python 3.9 minimum), or if a繁 ## Common questions ### What is the difference between casdoor and evals? casdoor: An open-source Agent-first Identity and Access Management (IAM) / LLM MCP & agent gateway and auth server. evals: Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks.. See the comparison table for live GitHub stats and shared categories. ### When should I choose casdoor over evals? Choose casdoor over evals when casdoor is primarily Go; evals is Python; License: casdoor is Apache-2.0, evals is Other; Tags unique to casdoor: iam, authentication, llm, auth; Also covers AI Agents; casdoor ships Docker support for self-hosted deployment; When you require a comprehensive IAM tool that supports multiple authentication methods such as OAuth, OIDC, SAML, CAS, LDAP, and more. ### When should I choose evals over casdoor? Choose evals over casdoor when evals is primarily Python; casdoor is Go; License: evals is Other, casdoor is Apache-2.0; Tags unique to evals: llm systems, large-language-models, use case testing, open-source; * When you need a comprehensive set of pre-existing evals and the ability to create your own tailored tests using specific use cases, especially within the OpenAI model ecosystem. ### When should I avoid casdoor? If your project requires proprietary technology exclusivity and cannot utilize open-source tools like Casdoor licensed under Apache-2.0. When the depth of integration with specific authentication methods (e.g., some advanced SAML configurations) is critical, and you find that other competitors offer more specialized or better-detailed/ +customizable versions of support for those methods. If your environment strictly requires closed-source components for security reasons, thus Casdoor would not be a suitable choice due to its open nature. ### When should I avoid evals? * When evaluating models or systems that do not benefit from being integrated with the OpenAI API, as some features like direct evals configuration in the OpenAI Dashboard require an OpenAI key. * If you are looking for an evaluation framework that doesn’t involve external dependencies such as Git Large File Storage (LFS) and specific Python version requirements (Python 3.9 minimum), or if a繁 ### Is casdoor or evals more popular on GitHub? evals has more GitHub stars (18,890 vs 13,923). Stars measure visibility, not whether either tool fits your constraints. ### Are casdoor and evals open source? Yes - both are open-source projects on GitHub (casdoor: Apache-2.0, evals: Other). ### Where can I find alternatives to casdoor or evals? GraphCanon lists graph-backed alternatives at [casdoor alternatives](/tools/casdoor-casdoor/alternatives) and [evals alternatives](/tools/openai-evals/alternatives) ([casdoor markdown twin](/tools/casdoor-casdoor/alternatives.md), [evals markdown twin](/tools/openai-evals/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/casdoor-casdoor-vs-openai-evals.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, casdoor or evals? casdoor: Very active. evals: 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 casdoor and evals? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [casdoor trust report](/tools/casdoor-casdoor/trust); [evals trust report](/tools/openai-evals/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=casdoor-casdoor`](/api/graphcanon/graph?tool=casdoor-casdoor) - 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/_