--- title: "agentops vs giskard-oss" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-giskard-ai-giskard-oss" tools: ["agentops-ai-agentops", "giskard-ai-giskard-oss"] --- # agentops vs giskard-oss *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 giskard-oss if giskard is an open-source library that specializes in testing and evaluating agentic systems like LLM agents using Python modules for checks and scanning vulnerabilities. [agentops](https://agentops.ai) reports 5.8k GitHub stars, 612 forks, and 176 open issues, last pushed Jun 25, 2026. [giskard-oss](https://docs.giskard.ai) has 5.7k stars, 511 forks, and 92 open issues, last pushed Aug 1, 2026. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [giskard-oss's repository](https://github.com/Giskard-AI/giskard-oss). | | [agentops](/tools/agentops-ai-agentops.md) | [giskard-oss](/tools/giskard-ai-giskard-oss.md) | | --- | --- | --- | | Tagline | Python SDK for AI agent monitoring and LLM cost tracking | Open-Source Evaluation & Testing library for LLM Agents | | Stars | 5,771 | 5,727 | | Forks | 612 | 511 | | Open issues | 176 | 92 | | Language | Python | Python | | Adopt for | AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. | Giskard is an open-source library that specializes in testing and evaluating agentic systems like LLM agents using Python modules for checks and scanning vulnerabilities. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | 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) | [giskard-oss](/tools/giskard-ai-giskard-oss.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 49d | 0d | | Open issues (now) | 176 | 92 | | Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/giskard-ai-giskard-oss/trust.md) | ## Shared compatibility - **Python**: [agentops](/tools/agentops-ai-agentops.md) - Python runtime; [giskard-oss](/tools/giskard-ai-giskard-oss.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: giskard-oss - **Requirements:** Requires Python 3.12+ - **Adopt for:** Giskard is an open-source library that specializes in testing and evaluating agentic systems like LLM agents using Python modules for checks and scanning vulnerabilities. ## Choose when ### Choose agentops if… - License: agentops is MIT, giskard-oss is Apache-2.0. - 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 giskard-oss if… - License: giskard-oss is Apache-2.0, agentops is MIT. - Requirements: Requires Python 3.12+. - Tags unique to giskard-oss: agent-evaluation, ai-red-team, ai-security, ai-testing. - Use Giskard when you need a tool specialized in assessing the vulnerabilities of language model agents through red teaming and prompt injection scenarios. ## 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 giskard-oss - Avoid using Giskard if you do not require comprehensive testing features like red teaming or specific checks tailored for language model agents. - Do not use this library if your project is in a programming language other than Python, as Giskard specifically caters to the Python ecosystem. ## Common questions ### What is the difference between agentops and giskard-oss? agentops: Python SDK for AI agent monitoring and LLM cost tracking. giskard-oss: Open-Source Evaluation & Testing library for LLM Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentops over giskard-oss? Choose agentops over giskard-oss when License: agentops is MIT, giskard-oss is Apache-2.0; 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 giskard-oss over agentops? Choose giskard-oss over agentops when License: giskard-oss is Apache-2.0, agentops is MIT; Requirements: Requires Python 3.12+; Tags unique to giskard-oss: agent-evaluation, ai-red-team, ai-security, ai-testing; Use Giskard when you need a tool specialized in assessing the vulnerabilities of language model agents through red teaming and prompt injection scenarios. ### 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 giskard-oss? Avoid using Giskard if you do not require comprehensive testing features like red teaming or specific checks tailored for language model agents. Do not use this library if your project is in a programming language other than Python, as Giskard specifically caters to the Python ecosystem. ### Is agentops or giskard-oss more popular on GitHub? agentops has more GitHub stars (5,771 vs 5,727). Stars measure visibility, not whether either tool fits your constraints. ### Are agentops and giskard-oss open source? Yes - both are open-source projects on GitHub (agentops: MIT, giskard-oss: Apache-2.0). ### Where can I find alternatives to agentops or giskard-oss? GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [giskard-oss alternatives](/tools/giskard-ai-giskard-oss/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/alternatives.md), [giskard-oss markdown twin](/tools/giskard-ai-giskard-oss/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-giskard-ai-giskard-oss.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentops or giskard-oss? agentops: Steady. giskard-oss: 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 giskard-oss? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [giskard-oss trust report](/tools/giskard-ai-giskard-oss/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/_