Home/Compare/agentops vs agentic-radar

Comparison

agentops vs agentic-radar

Verdict

Pick agentops when license: agentops is MIT, agentic-radar is Apache-2.0; pick agentic-radar when license: agentic-radar is Apache-2.0, agentops is MIT.

Markdown twin · agentops alternatives · agentic-radar alternatives

GraphCanon updated 1w

agentops logo

agentops

AgentOps-AI/agentops

5.8kpushed Jun 25, 2026
vs
agentic-radar logo

agentic-radar

splx-ai/agentic-radar

1.0kpushed Nov 27, 2025

Trust & integrity

Signalagentopsagentic-radar
Maintenance
Steady (49d since push)
As of 1w · github_public_v1
Slowing (253d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 1w · github_public_v1
Not a fork · Organization account
As of 2w · 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
agentic-radar
A security scanner for your LLM agentic workflows

Stars

agentops
5.8k
agentic-radar
1.0k

Forks

agentops
612
agentic-radar
141

Open issues

agentops
176
agentic-radar
16

Language

agentops
Python
agentic-radar
Python

Adopt for

agentops
AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
agentic-radar
-

Persona

agentops
-
agentic-radar
-

Runtime

agentops
-
agentic-radar
-

License

agentops
MIT
agentic-radar
Apache-2.0

Last pushed

agentops
Jun 25, 2026
agentic-radar
Nov 27, 2025

Categories

agentops
AI Agents, Evaluation & Observability
agentic-radar
AI Agents, Evaluation & Observability

Trust and health

Maintenance

agentops
Steady (60%)
agentic-radar
Slowing (36%)

Days since push

agentops
49d
agentic-radar
253d

Open issues (now)

agentops
176
agentic-radar
16

Full report

agentops
Trust report
agentic-radar
Trust report

Shared compatibility

  • Python · agentops: Python runtime · agentic-radar: Python runtime

Choose agentops if…

  • License: agentops is MIT, agentic-radar 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 agentic-radar if…

  • License: agentic-radar is Apache-2.0, agentops is MIT.
  • Tags unique to agentic-radar: agentic-ai, devsecops, generative-ai, security-tools.
  • When you need to test for vulnerabilities in generative AI workflows involving LLM frameworks

When NOT to use agentic-radar

  • Avoid if the Python version is not within the supported range of >=3.10 and <3.13 especially when using CrewAI features
  • Do not use if security scanning for LLM agentic workflows is unnecessary for your project needs

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agentops 5.8k · agentic-radar 1.0k (synced Aug 14, 2026).

Common questions

What is the difference between agentops and agentic-radar?
agentops: Python SDK for AI agent monitoring and LLM cost tracking. agentic-radar: A security scanner for your LLM agentic workflows. See the comparison table for live GitHub stats and shared categories.
When should I choose agentops over agentic-radar?
Choose agentops over agentic-radar when License: agentops is MIT, agentic-radar 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 agentic-radar over agentops?
Choose agentic-radar over agentops when License: agentic-radar is Apache-2.0, agentops is MIT; Tags unique to agentic-radar: agentic-ai, devsecops, generative-ai, security-tools; When you need to test for vulnerabilities in generative AI workflows involving LLM frameworks.
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 agentic-radar?
Avoid if the Python version is not within the supported range of >=3.10 and <3.13 especially when using CrewAI features Do not use if security scanning for LLM agentic workflows is unnecessary for your project needs
Is agentops or agentic-radar more popular on GitHub?
agentops has more GitHub stars (5,771 vs 1,025). Stars measure visibility, not whether either tool fits your constraints.
Are agentops and agentic-radar open source?
Yes - both are open-source projects on GitHub (agentops: MIT, agentic-radar: Apache-2.0).
Where can I find alternatives to agentops or agentic-radar?
GraphCanon lists graph-backed alternatives at agentops alternatives and agentic-radar alternatives (agentops markdown twin, agentic-radar 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 agentic-radar?
agentops: Steady. agentic-radar: Slowing. 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 agentic-radar?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; agentic-radar trust report.

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