--- title: "agentops vs latitude-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-latitude-dev-latitude-llm" tools: ["agentops-ai-agentops", "latitude-dev-latitude-llm"] --- # agentops vs latitude-llm *GraphCanon updated Sep 20, 2026* ## Verdict Pick agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage; pick latitude-llm if latitude-LLM is an open-source AI monitoring platform that provides real-time observability capabilities for autonomous agents and large language models. [agentops](https://agentops.ai) reports 5.8k GitHub stars, 625 forks, and 184 open issues, last pushed Jun 25, 2026. [latitude-llm](https://latitude.so) has 4.6k stars, 387 forks, and 61 open issues, last pushed Sep 9, 2026. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [latitude-llm's repository](https://github.com/latitude-dev/latitude-llm). | | [agentops](/tools/agentops-ai-agentops.md) | [latitude-llm](/tools/latitude-dev-latitude-llm.md) | | --- | --- | --- | | Tagline | Python SDK for AI agent monitoring and LLM cost tracking | Open-source AI monitoring platform | | Stars | 5,830 | 4,633 | | Forks | 625 | 387 | | Open issues | 184 | 61 | | Language | Python | TypeScript | | Adopt for | AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. | Latitude-LLM is an open-source AI monitoring platform that provides real-time observability capabilities for autonomous agents and large language models. | | Persona | - | developer harness | | Runtime | - | - | | License | MIT | Latitude-LLM offers its code under the MIT License, enabling developers to freely integrate, modify, and distribute the software provided they adhere to license terms. | | Categories | AI Agents, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentops](/tools/agentops-ai-agentops.md) | [latitude-llm](/tools/latitude-dev-latitude-llm.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 86d | 0d | | Open issues (now) | 184 | 61 | | Stars delta | +59 (30d) | +65 (30d) | | Open issues delta | +8 (30d) | -70 (30d) | | Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/latitude-dev-latitude-llm/trust.md) | ## Decision facts: agentops - **Adopt for:** AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. ## Decision facts: latitude-llm - **Pricing:** freemium - Latitude provides a freemium model with initial credits for monitoring capabilities without up-front costs. - **Adopt for:** Latitude-LLM is an open-source AI monitoring platform that provides real-time observability capabilities for autonomous agents and large language models. - **License detail:** Latitude-LLM offers its code under the MIT License, enabling developers to freely integrate, modify, and distribute the software provided they adhere to license terms. - **Persona:** developer harness ## Choose when ### Choose agentops if… - agentops is primarily Python; latitude-llm is TypeScript. - Tags unique to agentops: ai-agents, benchmarking, cost-tracking. - Also covers AI Agents. - Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK ### Choose latitude-llm if… - latitude-llm is primarily TypeScript; agentops is Python. - Pricing: Latitude provides a freemium model with initial credits for monitoring capabilities without up-front costs.. - Tags unique to latitude-llm: agent-monitoring, ai-observability, llm-observability. - latitude-llm ships Docker support for self-hosted deployment. - When you require comprehensive error tracing specifically for LLMs (large language models) without the cost barriers, Latitude offers initial credits along with being MIT licensed. ## When NOT to use agentops - If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI - In case self-hosting of components is impractical due to resource constraints ## When NOT to use latitude-llm - Consider other platforms if you need more than the included 20K credits per month as additional costs may apply. - If ease of use is paramount over advanced features or flexibility in deployment, Latitude might require a steeper learning curve and involve more setup effort. ## Common questions ### What is the difference between agentops and latitude-llm? agentops: Python SDK for AI agent monitoring and LLM cost tracking. latitude-llm: Open-source AI monitoring platform. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentops over latitude-llm? Choose agentops over latitude-llm when agentops is primarily Python; latitude-llm is TypeScript; Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Also covers AI Agents; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK. ### When should I choose latitude-llm over agentops? Choose latitude-llm over agentops when latitude-llm is primarily TypeScript; agentops is Python; Pricing: Latitude provides a freemium model with initial credits for monitoring capabilities without up-front costs.; Tags unique to latitude-llm: agent-monitoring, ai-observability, llm-observability; latitude-llm ships Docker support for self-hosted deployment; When you require comprehensive error tracing specifically for LLMs (large language models) without the cost barriers, Latitude offers initial credits along with being MIT licensed. ### When should I avoid agentops? If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI In case self-hosting of components is impractical due to resource constraints ### When should I avoid latitude-llm? Consider other platforms if you need more than the included 20K credits per month as additional costs may apply. If ease of use is paramount over advanced features or flexibility in deployment, Latitude might require a steeper learning curve and involve more setup effort. ### Is agentops or latitude-llm more popular on GitHub? agentops has more GitHub stars (5,830 vs 4,633). Stars measure visibility, not whether either tool fits your constraints. ### Are agentops and latitude-llm open source? Yes - both are open-source projects on GitHub (agentops: MIT, latitude-llm: MIT). ### Where can I find alternatives to agentops or latitude-llm? GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [latitude-llm alternatives](/tools/latitude-dev-latitude-llm/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/alternatives.md), [latitude-llm markdown twin](/tools/latitude-dev-latitude-llm/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/agentops-ai-agentops-vs-latitude-dev-latitude-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentops or latitude-llm? agentops: Steady. latitude-llm: 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 agentops and latitude-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [latitude-llm trust report](/tools/latitude-dev-latitude-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentops-ai-agentops`](/api/graphcanon/graph?tool=agentops-ai-agentops) - 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/_