Comparison
agentops vs plano
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 plano if plano is an AI-native proxy and data plane for agentic applications built with Rust under the Apache-2.0 license, focusing on smart LLM routing capabilities alongside orchestration and observability features.
Markdown twin · agentops alternatives · plano alternatives
GraphCanon updated today
Trust & integrity
| Signal | agentops | plano |
|---|---|---|
| Maintenance | Steady (49d since push) As of 6d · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 6d · github_public_v1 | Not a fork · Organization account As of today · 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
- plano
- An AI-native proxy and data plane for agentic apps
Stars
- agentops
- 5.8k
- plano
- 7.0k
Forks
- agentops
- 612
- plano
- 482
Open issues
- agentops
- 176
- plano
- 138
Language
- agentops
- Python
- plano
- Rust
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- plano
- Plano is an AI-native proxy and data plane for agentic applications built with Rust under the Apache-2.0 license, focusing on smart LLM routing capabilities alongside orchestration and observability features.
Persona
- agentops
- -
- plano
- -
Runtime
- agentops
- -
- plano
- -
License
- agentops
- MIT
- plano
- Apache-2.0
Last pushed
- agentops
- Jun 25, 2026
- plano
- Aug 19, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- plano
- AI Agents, Evaluation & Observability, Inference & Serving
Trust and health
Maintenance
- agentops
- Steady (60%)
- plano
- Very active (96%)
Days since push
- agentops
- 49d
- plano
- 0d
Open issues (now)
- agentops
- 176
- plano
- 138
Stars delta
- agentops
- Unknown
- plano
- +127 (30d)
Open issues delta
- agentops
- Unknown
- plano
- +7 (30d)
Full report
- agentops
- Trust report
- plano
- Trust report
Choose agentops if…
- agentops is primarily Python; plano is Rust.
- License: agentops is MIT, plano 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 plano if…
- plano is primarily Rust; agentops is Python.
- License: plano is Apache-2.0, agentops is MIT.
- Pricing: Freely available under Apache-2.0 license but potential for premium services around support and advanced features..
- Requirements: Min 1 GB RAM.
- Tags unique to plano: agency-apps, ai-gateway, llm-proxy, llm-routing.
- Also covers Inference & Serving.
- plano ships Docker support for self-hosted deployment.
- You are working on building complex multi-agent workflows where intelligent LLM (Language Model) routing is required.
When NOT to use plano
- If your application does not require deep orchestration or smart routing between multiple models, choosing Plano might introduce unnecessary complexity.
- For scenarios where minimal intervention routing is preferred without advanced observability and guardrail features, this tool may over-deliver on certain functionalities, possibly increasing overhead
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 (katanemo/plano) · observed Aug 20, 2026
- GitHub forks (katanemo/plano) · observed Aug 20, 2026
- Last push (katanemo/plano) · observed Aug 19, 2026
- License file (Apache-2.0) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentops 5.8k · plano 7.0k (synced Aug 14, 2026).
Common questions
- What is the difference between agentops and plano?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. plano: An AI-native proxy and data plane for agentic apps. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over plano?
- Choose agentops over plano when agentops is primarily Python; plano is Rust; License: agentops is MIT, plano 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 plano over agentops?
- Choose plano over agentops when plano is primarily Rust; agentops is Python; License: plano is Apache-2.0, agentops is MIT; Pricing: Freely available under Apache-2.0 license but potential for premium services around support and advanced features.; Requirements: Min 1 GB RAM; Tags unique to plano: agency-apps, ai-gateway, llm-proxy, llm-routing; Also covers Inference & Serving; plano ships Docker support for self-hosted deployment; You are working on building complex multi-agent workflows where intelligent LLM (Language Model) routing is required.
- 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 plano?
- If your application does not require deep orchestration or smart routing between multiple models, choosing Plano might introduce unnecessary complexity. For scenarios where minimal intervention routing is preferred without advanced observability and guardrail features, this tool may over-deliver on certain functionalities, possibly increasing overhead
- Is agentops or plano more popular on GitHub?
- plano has more GitHub stars (7,004 vs 5,771). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and plano open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, plano: Apache-2.0).
- Where can I find alternatives to agentops or plano?
- GraphCanon lists graph-backed alternatives at agentops alternatives and plano alternatives (agentops markdown twin, plano 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 plano?
- agentops: Steady. plano: 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 plano?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; plano trust report.