Home/Compare/awesome vs agentic-radar

Comparison

awesome vs agentic-radar

Verdict

Pick awesome when license: awesome is CC0-1.0, agentic-radar is Apache-2.0; pick agentic-radar when license: agentic-radar is Apache-2.0, awesome is CC0-1.0.

Markdown twin · awesome alternatives · agentic-radar alternatives

GraphCanon updated today

awesome logo

awesome

sindresorhus/awesome

484kpushed Jun 30, 2026
vs
agentic-radar logo

agentic-radar

splx-ai/agentic-radar

997pushed Nov 27, 2025

Trust & integrity

Signalawesomeagentic-radar
Maintenance
Active (11d since push)
As of today · github_public_v1
Slowing (225d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No criticals
As of today · mcp_manifest@v1

Tagline

awesome
😎 Curated list of awesome topics including hardware resources
agentic-radar
A security scanner for your LLM agentic workflows

Stars

awesome
484k
agentic-radar
997

Forks

awesome
36k
agentic-radar
137

Open issues

awesome
92
agentic-radar
15

Language

awesome
-
agentic-radar
Python

Adopt for

awesome
-
agentic-radar
-

Persona

awesome
-
agentic-radar
-

Runtime

awesome
-
agentic-radar
-

License

awesome
CC0-1.0
agentic-radar
Apache-2.0

Last pushed

awesome
Jun 30, 2026
agentic-radar
Nov 27, 2025

Categories

awesome
LLM Frameworks
agentic-radar
Vector Databases, LLM Frameworks, AI Agents

Trust and health

Maintenance

awesome
Active (82%)
agentic-radar
Slowing (36%)

Days since push

awesome
11d
agentic-radar
225d

Open issues (now)

awesome
92
agentic-radar
15

Owner type

awesome
User
agentic-radar
Organization

Security scan

awesome
No lockfile
agentic-radar
No criticals

Full report

agentic-radar
Trust report

Choose awesome if…

  • License: awesome is CC0-1.0, agentic-radar is Apache-2.0.
  • Tags unique to awesome: resources, awesome-list.
  • More GitHub stars (484k vs 997) - visibility, not fit.

When NOT to use awesome

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose agentic-radar if…

  • License: agentic-radar is Apache-2.0, awesome is CC0-1.0.
  • Tags unique to agentic-radar: ai, agentic-framework, agentic-workflow, agentic-ai.
  • Also covers Vector Databases, AI Agents.

When NOT to use agentic-radar

  • Last GitHub push was 226 days ago (slowing maintenance, Nov 27, 2025). Validate activity before betting a new project on agentic-radar.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.

Explore

Sources

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

GitHub stars on cards: awesome 484k · agentic-radar 997 (synced Jul 11, 2026).

Common questions

What is the difference between awesome and agentic-radar?
awesome: 😎 Curated list of awesome topics including hardware resources. 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 awesome over agentic-radar?
Choose awesome over agentic-radar when License: awesome is CC0-1.0, agentic-radar is Apache-2.0; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 997) - visibility, not fit.
When should I choose agentic-radar over awesome?
Choose agentic-radar over awesome when License: agentic-radar is Apache-2.0, awesome is CC0-1.0; Tags unique to agentic-radar: ai, agentic-framework, agentic-workflow, agentic-ai; Also covers Vector Databases, AI Agents.
When should I avoid awesome?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
When should I avoid agentic-radar?
Last GitHub push was 226 days ago (slowing maintenance, Nov 27, 2025). Validate activity before betting a new project on agentic-radar. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
Is awesome or agentic-radar more popular on GitHub?
awesome has more GitHub stars (484,026 vs 997). Stars measure visibility, not whether either tool fits your constraints.
Are awesome and agentic-radar open source?
Yes - both are open-source projects on GitHub (awesome: CC0-1.0, agentic-radar: Apache-2.0).
Where can I find alternatives to awesome or agentic-radar?
GraphCanon lists graph-backed alternatives at awesome alternatives and agentic-radar alternatives (awesome 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, awesome or agentic-radar?
awesome: Active. 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 awesome and agentic-radar?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome trust report; agentic-radar trust report.