Comparison
agentops vs agent-starter-pack
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 agent-starter-pack if agent-starter-pack offers built-in CI/CD, evaluation tools, and observability for deploying generative AI agents on Google Cloud with Python.
Markdown twin · agentops alternatives · agent-starter-pack alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | agentops | agent-starter-pack |
|---|---|---|
| Maintenance | Steady (49d since push) As of 1w · github_public_v1 | Active (29d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- agent-starter-pack
- Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability
Stars
- agentops
- 5.8k
- agent-starter-pack
- 6.5k
Forks
- agentops
- 612
- agent-starter-pack
- 1.5k
Open issues
- agentops
- 176
- agent-starter-pack
- 49
Language
- agentops
- Python
- agent-starter-pack
- Python
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- agent-starter-pack
- agent-starter-pack offers built-in CI/CD, evaluation tools, and observability for deploying generative AI agents on Google Cloud with Python.
Persona
- agentops
- -
- agent-starter-pack
- -
Runtime
- agentops
- -
- agent-starter-pack
- -
License
- agentops
- MIT
- agent-starter-pack
- Apache-2.0
Last pushed
- agentops
- Jun 25, 2026
- agent-starter-pack
- Jul 21, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- agent-starter-pack
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agentops
- Steady (60%)
- agent-starter-pack
- Active (82%)
Days since push
- agentops
- 49d
- agent-starter-pack
- 29d
Open issues (now)
- agentops
- 176
- agent-starter-pack
- 49
Stars delta
- agentops
- Unknown
- agent-starter-pack
- +18 (30d)
Open issues delta
- agentops
- Unknown
- agent-starter-pack
- +1 (30d)
Full report
- agentops
- Trust report
- agent-starter-pack
- Trust report
Shared compatibility
- Python · agentops: Python runtime · agent-starter-pack: Python runtime
Choose agentops if…
- License: agentops is MIT, agent-starter-pack 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 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 agent-starter-pack if…
- License: agent-starter-pack is Apache-2.0, agentops is MIT.
- Requirements: Depends on Python 3.10+.; Requires the Google Cloud SDK for interacting with GCP services.; Terraform is needed for deployment purposes.; Make utility should be installed for development tasks..
- Tags unique to agent-starter-pack: agents, gcp, gemini, genai-agents.
- You are working with Google Cloud and wish to deploy generative AI agents quickly using production-ready templates that come with integrated CI/CD pipelines.
When NOT to use agent-starter-pack
- Your project is hosted on a cloud provider other than Google Cloud, as this tool is optimized for GCP services and uses Terraform specifically configured for deployment with it.
- You do not need or want built-in CI/CD pipelines and evaluation tools, preferring to manage these components separately through different tools or self-configured setups.
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 Aug 14, 2026
- GitHub forks (AgentOps-AI/agentops) · observed Aug 14, 2026
- Last push (AgentOps-AI/agentops) · observed Jun 25, 2026
- License file (MIT) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (GoogleCloudPlatform/agent-starter-pack) · observed Aug 20, 2026
- GitHub forks (GoogleCloudPlatform/agent-starter-pack) · observed Aug 20, 2026
- Last push (GoogleCloudPlatform/agent-starter-pack) · observed Jul 21, 2026
- License file (Apache-2.0) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentops 5.8k · agent-starter-pack 6.5k (synced Aug 14, 2026).
Common questions
- What is the difference between agentops and agent-starter-pack?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. agent-starter-pack: Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over agent-starter-pack?
- Choose agentops over agent-starter-pack when License: agentops is MIT, agent-starter-pack 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 agent-starter-pack over agentops?
- Choose agent-starter-pack over agentops when License: agent-starter-pack is Apache-2.0, agentops is MIT; Requirements: Depends on Python 3.10+.; Requires the Google Cloud SDK for interacting with GCP services.; Terraform is needed for deployment purposes.; Make utility should be installed for development tasks.; Tags unique to agent-starter-pack: agents, gcp, gemini, genai-agents; You are working with Google Cloud and wish to deploy generative AI agents quickly using production-ready templates that come with integrated CI/CD 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 agent-starter-pack?
- Your project is hosted on a cloud provider other than Google Cloud, as this tool is optimized for GCP services and uses Terraform specifically configured for deployment with it. You do not need or want built-in CI/CD pipelines and evaluation tools, preferring to manage these components separately through different tools or self-configured setups.
- Is agentops or agent-starter-pack more popular on GitHub?
- agent-starter-pack has more GitHub stars (6,537 vs 5,771). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and agent-starter-pack open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, agent-starter-pack: Apache-2.0).
- Where can I find alternatives to agentops or agent-starter-pack?
- GraphCanon lists graph-backed alternatives at agentops alternatives and agent-starter-pack alternatives (agentops markdown twin, agent-starter-pack 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 agent-starter-pack?
- agentops: Steady. agent-starter-pack: 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 agent-starter-pack?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; agent-starter-pack trust report.