--- title: "casdoor vs lm-evaluation-harness" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/casdoor-casdoor-vs-eleutherai-lm-evaluation-harness" tools: ["casdoor-casdoor", "eleutherai-lm-evaluation-harness"] --- # casdoor vs lm-evaluation-harness *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 lm-evaluation-harness if lm-evaluation-harness is a Python framework for evaluating language models in various parallelism modes using different checkpoint formats, compatible with the Megatron-LM backend. [casdoor](https://casdoor.ai) reports 14k GitHub stars, 1.7k forks, and 100 open issues, last pushed Jul 10, 2026. [lm-evaluation-harness](https://www.eleuther.ai) has 13k stars, 3.4k forks, and 907 open issues, last pushed Jun 24, 2026. Figures are from public GitHub metadata via [casdoor's repository](https://github.com/casdoor/casdoor) and [lm-evaluation-harness's repository](https://github.com/EleutherAI/lm-evaluation-harness). | | [casdoor](/tools/casdoor-casdoor.md) | [lm-evaluation-harness](/tools/eleutherai-lm-evaluation-harness.md) | | --- | --- | --- | | Tagline | An open-source Agent-first Identity and Access Management (IAM) / LLM MCP & agent gateway and auth server | A framework for few-shot evaluation of language models. | | Stars | 13,923 | 13,253 | | Forks | 1,734 | 3,404 | | Open issues | 100 | 907 | | 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 | lm-evaluation-harness is a Python framework for evaluating language models in various parallelism modes using different checkpoint formats, compatible with the Megatron-LM backend. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [casdoor](/tools/casdoor-casdoor.md) | [lm-evaluation-harness](/tools/eleutherai-lm-evaluation-harness.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 16d | | Open issues (now) | 100 | 907 | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/casdoor-casdoor/trust.md) | [trust report](/tools/eleutherai-lm-evaluation-harness/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: lm-evaluation-harness - **Adopt for:** lm-evaluation-harness is a Python framework for evaluating language models in various parallelism modes using different checkpoint formats, compatible with the Megatron-LM backend. ## Choose when ### Choose casdoor if… - casdoor is primarily Go; lm-evaluation-harness is Python. - License: casdoor is Apache-2.0, lm-evaluation-harness is MIT. - Tags unique to casdoor: agent, agi, ai-gateway, 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 lm-evaluation-harness if… - lm-evaluation-harness is primarily Python; casdoor is Go. - License: lm-evaluation-harness is MIT, casdoor is Apache-2.0. - Tags unique to lm-evaluation-harness: data-parallelism, evaluation framework, expert-parallelism, language-model. - - When you need to evaluate large language models across multiple GPUs in data or tensor parallel configurations. ## 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 lm-evaluation-harness - - If your evaluation setup requires pipeline parallelism not currently supported by this framework. ## Common questions ### What is the difference between casdoor and lm-evaluation-harness? casdoor: An open-source Agent-first Identity and Access Management (IAM) / LLM MCP & agent gateway and auth server. lm-evaluation-harness: A framework for few-shot evaluation of language models.. See the comparison table for live GitHub stats and shared categories. ### When should I choose casdoor over lm-evaluation-harness? Choose casdoor over lm-evaluation-harness when casdoor is primarily Go; lm-evaluation-harness is Python; License: casdoor is Apache-2.0, lm-evaluation-harness is MIT; Tags unique to casdoor: agent, agi, ai-gateway, 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 lm-evaluation-harness over casdoor? Choose lm-evaluation-harness over casdoor when lm-evaluation-harness is primarily Python; casdoor is Go; License: lm-evaluation-harness is MIT, casdoor is Apache-2.0; Tags unique to lm-evaluation-harness: data-parallelism, evaluation framework, expert-parallelism, language-model; - When you need to evaluate large language models across multiple GPUs in data or tensor parallel configurations. ### 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 lm-evaluation-harness? - If your evaluation setup requires pipeline parallelism not currently supported by this framework. ### Is casdoor or lm-evaluation-harness more popular on GitHub? casdoor has more GitHub stars (13,923 vs 13,253). Stars measure visibility, not whether either tool fits your constraints. ### Are casdoor and lm-evaluation-harness open source? Yes - both are open-source projects on GitHub (casdoor: Apache-2.0, lm-evaluation-harness: MIT). ### Where can I find alternatives to casdoor or lm-evaluation-harness? GraphCanon lists graph-backed alternatives at [casdoor alternatives](/tools/casdoor-casdoor/alternatives) and [lm-evaluation-harness alternatives](/tools/eleutherai-lm-evaluation-harness/alternatives) ([casdoor markdown twin](/tools/casdoor-casdoor/alternatives.md), [lm-evaluation-harness markdown twin](/tools/eleutherai-lm-evaluation-harness/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-eleutherai-lm-evaluation-harness.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, casdoor or lm-evaluation-harness? casdoor: Very active. lm-evaluation-harness: 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 lm-evaluation-harness? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [casdoor trust report](/tools/casdoor-casdoor/trust); [lm-evaluation-harness trust report](/tools/eleutherai-lm-evaluation-harness/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/_