--- title: "lmnr vs frai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lmnr-ai-lmnr-vs-sebuzdugan-frai" tools: ["lmnr-ai-lmnr", "sebuzdugan-frai"] --- # lmnr vs frai *GraphCanon updated Aug 20, 2026* ## Verdict Pick lmnr if lmnr is an open-source observability platform specifically aimed at monitoring AI agents, offering both self-hosting and managed platform options; pick frai if frai is an open-source toolkit that uses CLI and SDK to scan code for responsible AI development purposes, generating model cards, risk assessments, and evaluations. [lmnr](https://laminar.sh) reports 3.2k GitHub stars, 223 forks, and 111 open issues, last pushed Aug 20, 2026. [frai](https://frai.cc/) has 53 stars, 4 forks, and 0 open issues, last pushed Aug 5, 2026. Figures are from public GitHub metadata via [lmnr's repository](https://github.com/lmnr-ai/lmnr) and [frai's repository](https://github.com/sebuzdugan/frai). | | [lmnr](/tools/lmnr-ai-lmnr.md) | [frai](/tools/sebuzdugan-frai.md) | | --- | --- | --- | | Tagline | Open-source observability platform for AI agents. | A toolkit for responsible AI development that generates model cards, risk assessments, and evals via CLI and SDK. | | Stars | 3,183 | 53 | | Forks | 223 | 4 | | Open issues | 111 | 0 | | Language | TypeScript | JavaScript | | Adopt for | lmnr is an open-source observability platform specifically aimed at monitoring AI agents, offering both self-hosting and managed platform options. | frai is an open-source toolkit that uses CLI and SDK to scan code for responsible AI development purposes, generating model cards, risk assessments, and evaluations. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Developer Tools, Evaluation & Observability | Developer Tools, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [lmnr](/tools/lmnr-ai-lmnr.md) | [frai](/tools/sebuzdugan-frai.md) | | --- | --- | --- | | Days since push | 0d | 3d | | Open issues (now) | 111 | 0 | | Stars delta | +80 (30d) | Unknown | | Open issues delta | +14 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/lmnr-ai-lmnr/trust.md) | [trust report](/tools/sebuzdugan-frai/trust.md) | ## Decision facts: lmnr - **Hosting:** self hosted - Supports self-hosting through Docker Compose, making it accessible to local environments or lightweight usage; however, recommends a managed platform option for production environments. - **Requirements:** Proper SDK configuration is critical when self-hosting.; Managed platform may be more suitable if setting up in a production environment. - **Adopt for:** lmnr is an open-source observability platform specifically aimed at monitoring AI agents, offering both self-hosting and managed platform options. - **License detail:** Apache-2.0 ## Decision facts: frai - **Adopt for:** frai is an open-source toolkit that uses CLI and SDK to scan code for responsible AI development purposes, generating model cards, risk assessments, and evaluations. ## Choose when ### Choose lmnr if… - lmnr is primarily TypeScript; frai is JavaScript. - License: lmnr is Apache-2.0, frai is MIT. - Supports self-hosting through Docker Compose, making it accessible to local environments or lightweight usage; however, recommends a managed platform option for production environments. - Requirements: Proper SDK configuration is critical when self-hosting.; Managed platform may be more suitable if setting up in a production environment.. - Tags unique to lmnr: agent-observability, ai-observability, llm-evaluation, self-hosted. - lmnr ships Docker support for self-hosted deployment. - When you need a dedicated solution for evaluating the performance and behavior of AI agents. ### Choose frai if… - frai is primarily JavaScript; lmnr is TypeScript. - License: frai is MIT, lmnr is Apache-2.0. - Tags unique to frai: ai-compliance, audit, bias, frai. - Use when you need to comply with specific safety standards in AI projects using JavaScript framework. ## When NOT to use lmnr - When your primary observability needs are not specific to AI agents but cover a broader range of application monitoring services. - For those preferring platforms with wider language support beyond TypeScript and Rust (the major languages highlighted for this tool). ## When NOT to use frai - Avoid if your development environment strictly requires non-JavaScript languages for tool integration. - Not advisable if automated governance and scanning tools are not aligned with organizational compliance policies. ## Common questions ### What is the difference between lmnr and frai? lmnr: Open-source observability platform for AI agents.. frai: A toolkit for responsible AI development that generates model cards, risk assessments, and evals via CLI and SDK.. See the comparison table for live GitHub stats and shared categories. ### When should I choose lmnr over frai? Choose lmnr over frai when lmnr is primarily TypeScript; frai is JavaScript; License: lmnr is Apache-2.0, frai is MIT; Supports self-hosting through Docker Compose, making it accessible to local environments or lightweight usage; however, recommends a managed platform option for production environments; Requirements: Proper SDK configuration is critical when self-hosting.; Managed platform may be more suitable if setting up in a production environment.; Tags unique to lmnr: agent-observability, ai-observability, llm-evaluation, self-hosted; lmnr ships Docker support for self-hosted deployment; When you need a dedicated solution for evaluating the performance and behavior of AI agents. ### When should I choose frai over lmnr? Choose frai over lmnr when frai is primarily JavaScript; lmnr is TypeScript; License: frai is MIT, lmnr is Apache-2.0; Tags unique to frai: ai-compliance, audit, bias, frai; Use when you need to comply with specific safety standards in AI projects using JavaScript framework. ### When should I avoid lmnr? When your primary observability needs are not specific to AI agents but cover a broader range of application monitoring services. For those preferring platforms with wider language support beyond TypeScript and Rust (the major languages highlighted for this tool). ### When should I avoid frai? Avoid if your development environment strictly requires non-JavaScript languages for tool integration. Not advisable if automated governance and scanning tools are not aligned with organizational compliance policies. ### Is lmnr or frai more popular on GitHub? lmnr has more GitHub stars (3,183 vs 53). Stars measure visibility, not whether either tool fits your constraints. ### Are lmnr and frai open source? Yes - both are open-source projects on GitHub (lmnr: Apache-2.0, frai: MIT). ### Where can I find alternatives to lmnr or frai? GraphCanon lists graph-backed alternatives at [lmnr alternatives](/tools/lmnr-ai-lmnr/alternatives) and [frai alternatives](/tools/sebuzdugan-frai/alternatives) ([lmnr markdown twin](/tools/lmnr-ai-lmnr/alternatives.md), [frai markdown twin](/tools/sebuzdugan-frai/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/lmnr-ai-lmnr-vs-sebuzdugan-frai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, lmnr or frai? lmnr: Very active. frai: 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 lmnr and frai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lmnr trust report](/tools/lmnr-ai-lmnr/trust); [frai trust report](/tools/sebuzdugan-frai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=lmnr-ai-lmnr`](/api/graphcanon/graph?tool=lmnr-ai-lmnr) - 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/_