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Comparison

scalene vs agents

Verdict

Pick scalene when license: scalene is Apache-2.0, agents is MIT; pick agents when license: agents is MIT, scalene is Apache-2.0.

Markdown twin · scalene alternatives · agents alternatives

GraphCanon updated today

scalene logo

scalene

plasma-umass/scalene

★ 13kpushed Jul 5, 2026
vs
agents logo

agents

wshobson/agents

★ 38kpushed Jul 8, 2026

Trust & integrity

Signalscaleneagents
Maintenance
Very active (6d 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)
18 low (18 low)
As of today · osv@v1
No MCP manifest
As of today · mcp_manifest
scalene trust reportagents trust reportTrust methodology

Tagline

scalene
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
agents
Multi-harness agentic plugin marketplace for various AI agents

Stars

scalene
13k
agents
38k

Forks

scalene
435
agents
4.0k

Open issues

scalene
151
agents
1

Language

scalene
Python
agents
Python

Adopt for

scalene
-
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

scalene
-
agents
-

Runtime

scalene
-
agents
-

License

scalene
Apache-2.0
agents
MIT

Last pushed

scalene
Jul 5, 2026
agents
Jul 8, 2026

Categories

scalene
Developer Tools
agents
AI Agents, Developer Tools

Trust and health

Days since push

scalene
6d
agents
2d

Open issues (now)

scalene
151
agents
1

Owner type

scalene
Organization
agents
User

Security scan

scalene
18 low (18 low)
agents
No MCP manifest

Full report

scalene
Trust report
agents
Trust report

Choose scalene if…

  • License: scalene is Apache-2.0, agents is MIT.
  • Tags unique to scalene: cpu-profiling, gpu, gpu-programming, memory-allocation.

When NOT to use scalene

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

Choose agents if…

  • License: agents is MIT, scalene is Apache-2.0.
  • Tags unique to agents: agent-skills, workflows, agentic-ai, 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
GitHubDetails

Explore

scalene trust report →agents trust report →Developer Tools category →AI Agents category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: scalene 13k · agents 38k (synced Jul 11, 2026).

Common questions

What is the difference between scalene and agents?
scalene: Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals. 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 scalene over agents?
Choose scalene over agents when License: scalene is Apache-2.0, agents is MIT; Tags unique to scalene: cpu-profiling, gpu, gpu-programming, memory-allocation.
When should I choose agents over scalene?
Choose agents over scalene when License: agents is MIT, scalene is Apache-2.0; Tags unique to agents: agent-skills, workflows, agentic-ai, 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 scalene?
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 scalene or agents more popular on GitHub?
agents has more GitHub stars (37,779 vs 13,467). Stars measure visibility, not whether either tool fits your constraints.
Are scalene and agents open source?
Yes - both are open-source projects on GitHub (scalene: Apache-2.0, agents: MIT).
Where can I find alternatives to scalene or agents?
GraphCanon lists graph-backed alternatives at scalene alternatives and agents alternatives (scalene 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, scalene or agents?
scalene: Very 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 scalene and agents?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: scalene trust report; agents trust report.