--- title: "casdoor vs Awesome-LLMSecOps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/casdoor-casdoor-vs-wearetyomsmnv-awesome-llmsecops" tools: ["casdoor-casdoor", "wearetyomsmnv-awesome-llmsecops"] --- # casdoor vs Awesome-LLMSecOps *GraphCanon updated Aug 19, 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 Awesome-LLMSecOps if awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models. [casdoor](https://casdoor.ai) reports 14k GitHub stars, 1.8k forks, and 105 open issues, last pushed Aug 18, 2026. [Awesome-LLMSecOps](https://github.com/wearetyomsmnv/Awesome-LLMSecOps) has 150 stars, 63 forks, and 11 open issues, last pushed Aug 4, 2026. Figures are from public GitHub metadata via [casdoor's repository](https://github.com/casdoor/casdoor) and [Awesome-LLMSecOps's repository](https://github.com/wearetyomsmnv/Awesome-LLMSecOps). | | [casdoor](/tools/casdoor-casdoor.md) | [Awesome-LLMSecOps](/tools/wearetyomsmnv-awesome-llmsecops.md) | | --- | --- | --- | | Tagline | An open-source Agent-first Identity and Access Management (IAM) / LLM MCP & agent gateway and auth server | Curated security resources for LLM operations | | Stars | 14,221 | 150 | | Forks | 1,777 | 63 | | Open issues | 105 | 11 | | Language | Go | HTML | | 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 | Awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [casdoor](/tools/casdoor-casdoor.md) | [Awesome-LLMSecOps](/tools/wearetyomsmnv-awesome-llmsecops.md) | | --- | --- | --- | | Days since push | 0d | 4d | | Open issues (now) | 105 | 11 | | Stars delta | +248 (30d) | Unknown | | Open issues delta | +2 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/casdoor-casdoor/trust.md) | [trust report](/tools/wearetyomsmnv-awesome-llmsecops/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: Awesome-LLMSecOps - **Adopt for:** Awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models. ## Choose when ### Choose casdoor if… - casdoor is primarily Go; Awesome-LLMSecOps is HTML. - Tags unique to casdoor: agent, agi, ai-gateway, auth. - 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 Awesome-LLMSecOps if… - Awesome-LLMSecOps is primarily HTML; casdoor is Go. - Tags unique to Awesome-LLMSecOps: adversarial-ml-threat-modeling, ai-agents-security, llm-red-teaming, prompt-injection. - Need a specialized focus on LLM-specific security threats like recursive pollution and prompt manipulation ## 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 Awesome-LLMSecOps - Looking for extensive academic references or ArXiv papers in descriptions - Require real-time interactive tools rather than curated static lists of resources ## Common questions ### What is the difference between casdoor and Awesome-LLMSecOps? casdoor: An open-source Agent-first Identity and Access Management (IAM) / LLM MCP & agent gateway and auth server. Awesome-LLMSecOps: Curated security resources for LLM operations. See the comparison table for live GitHub stats and shared categories. ### When should I choose casdoor over Awesome-LLMSecOps? Choose casdoor over Awesome-LLMSecOps when casdoor is primarily Go; Awesome-LLMSecOps is HTML; Tags unique to casdoor: agent, agi, ai-gateway, auth; 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 Awesome-LLMSecOps over casdoor? Choose Awesome-LLMSecOps over casdoor when Awesome-LLMSecOps is primarily HTML; casdoor is Go; Tags unique to Awesome-LLMSecOps: adversarial-ml-threat-modeling, ai-agents-security, llm-red-teaming, prompt-injection; Need a specialized focus on LLM-specific security threats like recursive pollution and prompt manipulation. ### 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 Awesome-LLMSecOps? Looking for extensive academic references or ArXiv papers in descriptions Require real-time interactive tools rather than curated static lists of resources ### Is casdoor or Awesome-LLMSecOps more popular on GitHub? casdoor has more GitHub stars (14,221 vs 150). Stars measure visibility, not whether either tool fits your constraints. ### Are casdoor and Awesome-LLMSecOps open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to casdoor or Awesome-LLMSecOps? GraphCanon lists graph-backed alternatives at [casdoor alternatives](/tools/casdoor-casdoor/alternatives) and [Awesome-LLMSecOps alternatives](/tools/wearetyomsmnv-awesome-llmsecops/alternatives) ([casdoor markdown twin](/tools/casdoor-casdoor/alternatives.md), [Awesome-LLMSecOps markdown twin](/tools/wearetyomsmnv-awesome-llmsecops/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-wearetyomsmnv-awesome-llmsecops.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, casdoor or Awesome-LLMSecOps? casdoor: Very active. Awesome-LLMSecOps: 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 casdoor and Awesome-LLMSecOps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [casdoor trust report](/tools/casdoor-casdoor/trust); [Awesome-LLMSecOps trust report](/tools/wearetyomsmnv-awesome-llmsecops/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/_