--- title: "agentops vs langwatch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-langwatch-langwatch" tools: ["agentops-ai-agentops", "langwatch-langwatch"] --- # agentops vs langwatch *GraphCanon updated Aug 14, 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 langwatch if langWatch is a comprehensive tool for evaluating large language models (LLM) and testing AI agents. It supports self-hosting with flexible deployment options including Docker, Kubernetes, and cloud-specific setups. [agentops](https://agentops.ai) reports 5.8k GitHub stars, 612 forks, and 176 open issues, last pushed Jun 25, 2026. [langwatch](https://langwatch.ai) has 3.5k stars, 340 forks, and 777 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [langwatch's repository](https://github.com/langwatch/langwatch). | | [agentops](/tools/agentops-ai-agentops.md) | [langwatch](/tools/langwatch-langwatch.md) | | --- | --- | --- | | Tagline | Python SDK for AI agent monitoring and LLM cost tracking | The platform for LLM evaluations and AI agent testing | | Stars | 5,771 | 3,479 | | Forks | 612 | 340 | | Open issues | 176 | 777 | | 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. | LangWatch is a comprehensive tool for evaluating large language models (LLM) and testing AI agents. It supports self-hosting with flexible deployment options including Docker, Kubernetes, and cloud-specific setups. | | Persona | - | - | | Runtime | - | - | | License | MIT | LangWatch is licensed under Apache-2.0 for its core functionalities, but enterprise modules such as SCIM and audit logging require a commercial license. | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentops](/tools/agentops-ai-agentops.md) | [langwatch](/tools/langwatch-langwatch.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 49d | 0d | | Open issues (now) | 176 | 777 | | Stars delta | Unknown | +152 (30d) | | Open issues delta | Unknown | +103 (30d) | | Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/langwatch-langwatch/trust.md) | ## Shared compatibility - **Python**: [agentops](/tools/agentops-ai-agentops.md) - Python runtime; [langwatch](/tools/langwatch-langwatch.md) - Python runtime ## 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: langwatch - **Pricing:** freemium - Open-source editions are free with restrictions on certain advanced features that require a commercial license. - **Adopt for:** LangWatch is a comprehensive tool for evaluating large language models (LLM) and testing AI agents. It supports self-hosting with flexible deployment options including Docker, Kubernetes, and cloud-specific setups. - **License detail:** LangWatch is licensed under Apache-2.0 for its core functionalities, but enterprise modules such as SCIM and audit logging require a commercial license. ## Choose when ### Choose agentops if… - agentops is primarily Python; langwatch is TypeScript. - License: agentops is MIT, langwatch is Apache-2.0. - Tags unique to agentops: ai-agents, benchmarking, cost-tracking. - Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK ### Choose langwatch if… - langwatch is primarily TypeScript; agentops is Python. - License: langwatch is Apache-2.0, agentops is MIT. - Pricing: Open-source editions are free with restrictions on certain advanced features that require a commercial license.. - Tags unique to langwatch: ai, analytics, datasets, evaluation. - You need to evaluate LLMs and test AI agents in a controlled environment. ## 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 langwatch - If you are looking for an out-of-the-box service without the complexity of setting up your own infrastructure, since LangWatch heavily leans towards self-hosting. - You do not require advanced enterprise features like SCIM, audit logs, license management, as these features require a commercial license. ## Common questions ### What is the difference between agentops and langwatch? agentops: Python SDK for AI agent monitoring and LLM cost tracking. langwatch: The platform for LLM evaluations and AI agent testing. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentops over langwatch? Choose agentops over langwatch when agentops is primarily Python; langwatch is TypeScript; License: agentops is MIT, langwatch is Apache-2.0; Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK. ### When should I choose langwatch over agentops? Choose langwatch over agentops when langwatch is primarily TypeScript; agentops is Python; License: langwatch is Apache-2.0, agentops is MIT; Pricing: Open-source editions are free with restrictions on certain advanced features that require a commercial license.; Tags unique to langwatch: ai, analytics, datasets, evaluation; You need to evaluate LLMs and test AI agents in a controlled environment. ### 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 langwatch? If you are looking for an out-of-the-box service without the complexity of setting up your own infrastructure, since LangWatch heavily leans towards self-hosting. You do not require advanced enterprise features like SCIM, audit logs, license management, as these features require a commercial license. ### Is agentops or langwatch more popular on GitHub? agentops has more GitHub stars (5,771 vs 3,479). Stars measure visibility, not whether either tool fits your constraints. ### Are agentops and langwatch open source? Yes - both are open-source projects on GitHub (agentops: MIT, langwatch: Apache-2.0). ### Where can I find alternatives to agentops or langwatch? GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [langwatch alternatives](/tools/langwatch-langwatch/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/alternatives.md), [langwatch markdown twin](/tools/langwatch-langwatch/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-langwatch-langwatch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentops or langwatch? agentops: Steady. langwatch: 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 langwatch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [langwatch trust report](/tools/langwatch-langwatch/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/_