Comparison
agentops vs giskard-oss
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-oss is an open-source Python library for testing and evaluating agentic systems, including LLMs, black-box agents, and multi-step pipelines. It offers modules for checks, scans, and provider-agnostic LLM routing.
Markdown twin · agentops alternatives · giskard-oss alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | agentops | giskard-oss |
|---|---|---|
| Maintenance | Steady (86d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agentops
- Python SDK for AI agent monitoring and LLM cost tracking
- giskard-oss
- Open-Source Evaluation & Testing library for LLM Agents
Stars
- agentops
- 5.8k
- giskard-oss
- 5.8k
Forks
- agentops
- 625
- giskard-oss
- 537
Open issues
- agentops
- 184
- giskard-oss
- 65
Language
- agentops
- Python
- giskard-oss
- Python
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- giskard-oss
- Giskard-oss is an open-source Python library for testing and evaluating agentic systems, including LLMs, black-box agents, and multi-step pipelines. It offers modules for checks, scans, and provider-agnostic LLM routing.
Persona
- agentops
- -
- giskard-oss
- -
Runtime
- agentops
- -
- giskard-oss
- -
License
- agentops
- MIT
- giskard-oss
- Apache-2.0
Last pushed
- agentops
- Jun 25, 2026
- giskard-oss
- Sep 18, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- giskard-oss
- Evaluation & Observability
Trust and health
Maintenance
- agentops
- Steady (60%)
- giskard-oss
- Very active (96%)
Days since push
- agentops
- 86d
- giskard-oss
- 0d
Open issues (now)
- agentops
- 184
- giskard-oss
- 65
Stars delta
- agentops
- +59 (30d)
- giskard-oss
- +97 (30d)
Open issues delta
- agentops
- +8 (30d)
- giskard-oss
- -27 (30d)
Full report
- agentops
- Trust report
- giskard-oss
- Trust report
Shared compatibility
- Python · agentops: Python runtime · giskard-oss: Python runtime
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
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
Choose giskard-oss if…
- License: giskard-oss is Apache-2.0, agentops is MIT.
- Tags unique to giskard-oss: agent-evaluation, ai-red-team, ai-security, ai-testing.
- When you need a comprehensive testing and evaluation library for agentic systems, including LLMs, black-box agents, and multi-step pipelines.
When NOT to use giskard-oss
- If you are working with Python versions below 3.12, as Giskard-oss requires Python 3.12+.
- When you prefer not to use tools that collect telemetry data, even if it is aggregated and does not include prompts or outputs.
- If you are looking for a tool that does not offer a modular architecture, as Giskard-oss is built with a modular set of focused packages.
- When you need a tool that does not support open-source licensing under Apache-2.0.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AgentOps-AI/agentops) · observed Sep 20, 2026
- GitHub forks (AgentOps-AI/agentops) · observed Sep 20, 2026
- Last push (AgentOps-AI/agentops) · observed Jun 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Giskard-AI/giskard-oss) · observed Sep 20, 2026
- GitHub forks (Giskard-AI/giskard-oss) · observed Sep 20, 2026
- Last push (Giskard-AI/giskard-oss) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: agentops 5.8k · giskard-oss 5.8k (synced Sep 20, 2026).
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; Tags unique to giskard-oss: agent-evaluation, ai-red-team, ai-security, ai-testing; When you need a comprehensive testing and evaluation library for agentic systems, including LLMs, black-box agents, and multi-step pipelines.
- 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?
- If you are working with Python versions below 3.12, as Giskard-oss requires Python 3.12+. When you prefer not to use tools that collect telemetry data, even if it is aggregated and does not include prompts or outputs. If you are looking for a tool that does not offer a modular architecture, as Giskard-oss is built with a modular set of focused packages. When you need a tool that does not support open-source licensing under Apache-2.0.
- Is agentops or giskard-oss more popular on GitHub?
- agentops has more GitHub stars (5,830 vs 5,824). 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 and giskard-oss alternatives (agentops markdown twin, giskard-oss markdown twin), 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 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; giskard-oss trust report.