Home/Compare/comet-examples vs agents

Comparison

comet-examples vs agents

Verdict

Pick comet-examples when comet-examples is primarily Jupyter Notebook; agents is Python; pick agents when agents is primarily Python; comet-examples is Jupyter Notebook.

Markdown twin · comet-examples alternatives · agents alternatives

GraphCanon updated today

comet-examples logo

comet-examples

comet-ml/comet-examples

175pushed Jun 29, 2026
vs
agents logo

agents

wshobson/agents

38kpushed Jul 8, 2026

Trust & integrity

Signalcomet-examplesagents
Maintenance
Active (11d since push)
As of today · github_public_v1
Very active (2d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No MCP manifest
As of today · mcp_manifest

Tagline

comet-examples
Examples of Machine Learning code using Comet.ml
agents
Multi-harness agentic plugin marketplace for various AI agents

Stars

comet-examples
175
agents
38k

Forks

comet-examples
66
agents
4.0k

Open issues

comet-examples
26
agents
1

Language

comet-examples
Jupyter Notebook
agents
Python

Adopt for

comet-examples
-
agents
The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot

Persona

comet-examples
-
agents
-

Runtime

comet-examples
-
agents
-

License

comet-examples
-
agents
MIT

Last pushed

comet-examples
Jun 29, 2026
agents
Jul 8, 2026

Categories

comet-examples
Developer Tools
agents
AI Agents, Developer Tools

Trust and health

Maintenance

comet-examples
Active (82%)
agents
Very active (96%)

Days since push

comet-examples
11d
agents
2d

Open issues (now)

comet-examples
26
agents
1

Owner type

comet-examples
Organization
agents
User

Security scan

comet-examples
No lockfile
agents
No MCP manifest

Full report

comet-examples
Trust report

Choose comet-examples if…

  • comet-examples is primarily Jupyter Notebook; agents is Python.
  • Tags unique to comet-examples: comet-ml, deep-learning, deep-learning-algorithms, deep-learning-libraries.

When NOT to use comet-examples

  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

Choose agents if…

  • agents is primarily Python; comet-examples is Jupyter Notebook.
  • Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering.
  • Also covers AI Agents.
  • You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments

When NOT to use agents

  • You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support
  • Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem

Explore

Sources

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

GitHub stars on cards: comet-examples 175 · agents 38k (synced Jul 11, 2026).

Common questions

What is the difference between comet-examples and agents?
comet-examples: Examples of Machine Learning code using Comet.ml. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories.
When should I choose comet-examples over agents?
Choose comet-examples over agents when comet-examples is primarily Jupyter Notebook; agents is Python; Tags unique to comet-examples: comet-ml, deep-learning, deep-learning-algorithms, deep-learning-libraries.
When should I choose agents over comet-examples?
Choose agents over comet-examples when agents is primarily Python; comet-examples is Jupyter Notebook; Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; Also covers AI Agents; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments.
When should I avoid comet-examples?
Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
When should I avoid agents?
You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
Is comet-examples or agents more popular on GitHub?
agents has more GitHub stars (37,779 vs 175). Stars measure visibility, not whether either tool fits your constraints.
Are comet-examples and agents open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to comet-examples or agents?
GraphCanon lists graph-backed alternatives at comet-examples alternatives and agents alternatives (comet-examples markdown twin, agents 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, comet-examples or agents?
comet-examples: Active. agents: 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 comet-examples and agents?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: comet-examples trust report; agents trust report.