--- title: "scikit-optimize vs agentic-awesome-skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/scikit-optimize-scikit-optimize-vs-sickn33-antigravity-awesome-skills" tools: ["scikit-optimize-scikit-optimize", "sickn33-antigravity-awesome-skills"] --- # scikit-optimize vs agentic-awesome-skills *GraphCanon updated Jul 11, 2026* ## Verdict Pick scikit-optimize when license: scikit-optimize is BSD-3-Clause, agentic-awesome-skills is MIT; pick agentic-awesome-skills when license: agentic-awesome-skills is MIT, scikit-optimize is BSD-3-Clause. [scikit-optimize](https://scikit-optimize.github.io) reports 2.8k GitHub stars, 559 forks, and 318 open issues, last pushed Feb 23, 2024. [agentic-awesome-skills](https://sickn33.github.io/agentic-awesome-skills/) has 43k stars, 6.8k forks, and 2 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [scikit-optimize's repository](https://github.com/scikit-optimize/scikit-optimize) and [agentic-awesome-skills's repository](https://github.com/sickn33/agentic-awesome-skills). | | [scikit-optimize](/tools/scikit-optimize-scikit-optimize.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | | --- | --- | --- | | Tagline | Sequential model-based optimization with a `scipy.optimize` interface | Library of agentic skills for various AI agents | | Stars | 2,826 | 42,843 | | Forks | 559 | 6,805 | | Open issues | 318 | 2 | | Language | Python | Python | | Adopt for | - | Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | MIT | | Categories | Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [scikit-optimize](/tools/scikit-optimize-scikit-optimize.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Very active (96%) | | Days since push | 869d | 1d | | Archived on GitHub | Yes | No | | Open issues (now) | 318 | 2 | | Owner type | Organization | User | | Security scan | 17 low (17 low) | No criticals | | Full report | [trust report](/tools/scikit-optimize-scikit-optimize/trust.md) | [trust report](/tools/sickn33-antigravity-awesome-skills/trust.md) | ## Decision facts: agentic-awesome-skills - **Pricing:** freemium - The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills. - **Requirements:** Min 2 GB RAM - **Adopt for:** Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. ## Choose when ### Choose scikit-optimize if… - License: scikit-optimize is BSD-3-Clause, agentic-awesome-skills is MIT. - Tags unique to scikit-optimize: bayesian-optimization, bayesopt, binder, hacktoberfest. ### Choose agentic-awesome-skills if… - License: agentic-awesome-skills is MIT, scikit-optimize is BSD-3-Clause. - Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.. - Requirements: Min 2 GB RAM. - Tags unique to agentic-awesome-skills: agent-skills, ai-agents, developer-tools. - Also covers AI Agents. - - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks. ## 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. ## When NOT to use agentic-awesome-skills - - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services. - - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library. ## Common questions ### What is the difference between scikit-optimize and agentic-awesome-skills? scikit-optimize: Sequential model-based optimization with a `scipy.optimize` interface. agentic-awesome-skills: Library of agentic skills for various AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose scikit-optimize over agentic-awesome-skills? Choose scikit-optimize over agentic-awesome-skills when License: scikit-optimize is BSD-3-Clause, agentic-awesome-skills is MIT; Tags unique to scikit-optimize: bayesian-optimization, bayesopt, binder, hacktoberfest. ### When should I choose agentic-awesome-skills over scikit-optimize? Choose agentic-awesome-skills over scikit-optimize when License: agentic-awesome-skills is MIT, scikit-optimize is BSD-3-Clause; Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.; Requirements: Min 2 GB RAM; Tags unique to agentic-awesome-skills: agent-skills, ai-agents, developer-tools; Also covers AI Agents; - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks. ### 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 agentic-awesome-skills? - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services. - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library. ### Is scikit-optimize or agentic-awesome-skills more popular on GitHub? agentic-awesome-skills has more GitHub stars (42,843 vs 2,826). Stars measure visibility, not whether either tool fits your constraints. ### Are scikit-optimize and agentic-awesome-skills open source? Yes - both are open-source projects on GitHub (scikit-optimize: BSD-3-Clause, agentic-awesome-skills: MIT). ### Where can I find alternatives to scikit-optimize or agentic-awesome-skills? GraphCanon lists graph-backed alternatives at [scikit-optimize alternatives](/tools/scikit-optimize-scikit-optimize/alternatives) and [agentic-awesome-skills alternatives](/tools/sickn33-antigravity-awesome-skills/alternatives) ([scikit-optimize markdown twin](/tools/scikit-optimize-scikit-optimize/alternatives.md), [agentic-awesome-skills markdown twin](/tools/sickn33-antigravity-awesome-skills/alternatives.md)), 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](/compare/scikit-optimize-scikit-optimize-vs-sickn33-antigravity-awesome-skills.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, scikit-optimize or agentic-awesome-skills? scikit-optimize: Archived. agentic-awesome-skills: 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 agentic-awesome-skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [scikit-optimize trust report](/tools/scikit-optimize-scikit-optimize/trust); [agentic-awesome-skills trust report](/tools/sickn33-antigravity-awesome-skills/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=scikit-optimize-scikit-optimize`](/api/graphcanon/graph?tool=scikit-optimize-scikit-optimize) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_