Home/Compare/scikit-optimize vs agents

Comparison

scikit-optimize vs agents

Verdict

Pick scikit-optimize when license: scikit-optimize is BSD-3-Clause, agents is MIT; pick agents when license: agents is MIT, scikit-optimize is BSD-3-Clause.

Markdown twin · scikit-optimize alternatives · agents alternatives

GraphCanon updated today

scikit-optimize logo

scikit-optimize

scikit-optimize/scikit-optimize

2.8kpushed Feb 23, 2024
vs
agents logo

agents

wshobson/agents

38kpushed Jul 8, 2026

Trust & integrity

Signalscikit-optimizeagents
Maintenance
Archived (869d 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)
17 low (17 low)
As of today · osv@v1
No MCP manifest
As of today · mcp_manifest

Tagline

scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
agents
Multi-harness agentic plugin marketplace for various AI agents

Stars

scikit-optimize
2.8k
agents
38k

Forks

scikit-optimize
559
agents
4.0k

Open issues

scikit-optimize
318
agents
1

Language

scikit-optimize
Python
agents
Python

Adopt for

scikit-optimize
-
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

scikit-optimize
-
agents
-

Runtime

scikit-optimize
-
agents
-

License

scikit-optimize
BSD-3-Clause
agents
MIT

Last pushed

scikit-optimize
Feb 23, 2024
agents
Jul 8, 2026

Categories

scikit-optimize
Developer Tools
agents
AI Agents, Developer Tools

Trust and health

Maintenance

scikit-optimize
Archived (8%)
agents
Very active (96%)

Days since push

scikit-optimize
869d
agents
2d

Archived on GitHub

scikit-optimize
Yes
agents
No

Open issues (now)

scikit-optimize
318
agents
1

Owner type

scikit-optimize
Organization
agents
User

Security scan

scikit-optimize
17 low (17 low)
agents
No MCP manifest

Full report

scikit-optimize
Trust report

Choose scikit-optimize if…

  • License: scikit-optimize is BSD-3-Clause, agents is MIT.
  • Tags unique to scikit-optimize: binder, hyperparameter-search, hacktoberfest, hyperparameter.

When NOT to use scikit-optimize

  • scikit-optimize is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

Choose agents if…

  • License: agents is MIT, scikit-optimize is BSD-3-Clause.
  • 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

Explore

Sources

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

GitHub stars on cards: scikit-optimize 2.8k · agents 38k (synced Jul 11, 2026).

Common questions

What is the difference between scikit-optimize and agents?
scikit-optimize: Sequential model-based optimization with a scipy.optimize interface. 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 scikit-optimize over agents?
Choose scikit-optimize over agents when License: scikit-optimize is BSD-3-Clause, agents is MIT; Tags unique to scikit-optimize: binder, hyperparameter-search, hacktoberfest, hyperparameter.
When should I choose agents over scikit-optimize?
Choose agents over scikit-optimize when License: agents is MIT, scikit-optimize is BSD-3-Clause; 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 scikit-optimize?
scikit-optimize is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. 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 scikit-optimize or agents more popular on GitHub?
agents has more GitHub stars (37,779 vs 2,826). Stars measure visibility, not whether either tool fits your constraints.
Are scikit-optimize and agents open source?
Yes - both are open-source projects on GitHub (scikit-optimize: BSD-3-Clause, agents: MIT).
Where can I find alternatives to scikit-optimize or agents?
GraphCanon lists graph-backed alternatives at scikit-optimize alternatives and agents alternatives (scikit-optimize 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, scikit-optimize or agents?
scikit-optimize: Archived. 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 scikit-optimize and agents?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: scikit-optimize trust report; agents trust report.