Comparison
agentops vs logfire
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 logfire if logfire provides specific tools for monitoring and evaluating AI systems in production environments, with strong emphasis on log management and traceability.
Markdown twin · agentops alternatives · logfire alternatives
GraphCanon updated Sep 20, 2026
10views this month
vs
Trust & integrity
| Signal | agentops | logfire |
|---|---|---|
| Maintenance | Steady (86d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 10, 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 10, 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 Jul 15, 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
- logfire
- AI observability platform for production LLM and agent systems
Stars
- agentops
- 5.8k
- logfire
- 4.5k
Forks
- agentops
- 625
- logfire
- 284
Open issues
- agentops
- 184
- logfire
- 191
Language
- agentops
- Python
- logfire
- Python
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- logfire
- Logfire provides specific tools for monitoring and evaluating AI systems in production environments, with strong emphasis on log management and traceability.
Persona
- agentops
- -
- logfire
- -
Runtime
- agentops
- -
- logfire
- -
License
- agentops
- MIT
- logfire
- MIT
Last pushed
- agentops
- Jun 25, 2026
- logfire
- Sep 10, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- logfire
- Evaluation & Observability
Trust and health
Maintenance
- agentops
- Steady (60%)
- logfire
- Very active (96%)
Days since push
- agentops
- 86d
- logfire
- 0d
Open issues (now)
- agentops
- 184
- logfire
- 191
Stars delta
- agentops
- +59 (30d)
- logfire
- +52 (30d)
Open issues delta
- agentops
- +8 (30d)
- logfire
- -68 (30d)
Full report
- agentops
- Trust report
- logfire
- Trust report
Shared compatibility
- Python · agentops: Python runtime · logfire: Python runtime
Choose agentops if…
- 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 logfire if…
- Tags unique to logfire: agent-observability, ai, ai-observability, evals.
- Use Logfire when your project requires comprehensive observability tailored specifically for large language models (LLM) and agent-based systems.
- More recently updated (last pushed Sep 10, 2026).
When NOT to use logfire
- Avoid using Logfire if your application does not involve LLMs or agent systems, as its features are finely tuned for these specific technologies.
- Do not use if you prefer tools with broader application across different technology stacks rather than a specialized toolkit focused on Python and related frameworks.
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 (pydantic/logfire) · observed Sep 20, 2026
- GitHub forks (pydantic/logfire) · observed Sep 20, 2026
- Last push (pydantic/logfire) · observed Sep 10, 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 on cards: agentops 5.8k · logfire 4.5k (synced Sep 20, 2026).
Common questions
- What is the difference between agentops and logfire?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. logfire: AI observability platform for production LLM and agent systems. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over logfire?
- Choose agentops over logfire when 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 logfire over agentops?
- Choose logfire over agentops when Tags unique to logfire: agent-observability, ai, ai-observability, evals; Use Logfire when your project requires comprehensive observability tailored specifically for large language models (LLM) and agent-based systems; More recently updated (last pushed Sep 10, 2026).
- 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 logfire?
- Avoid using Logfire if your application does not involve LLMs or agent systems, as its features are finely tuned for these specific technologies. Do not use if you prefer tools with broader application across different technology stacks rather than a specialized toolkit focused on Python and related frameworks.
- Is agentops or logfire more popular on GitHub?
- agentops has more GitHub stars (5,830 vs 4,468). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and logfire open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, logfire: MIT).
- Where can I find alternatives to agentops or logfire?
- GraphCanon lists graph-backed alternatives at agentops alternatives and logfire alternatives (agentops markdown twin, logfire 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 logfire?
- agentops: Steady. logfire: 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 logfire?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; logfire trust report.