--- title: "agno vs scikit-optimize" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agno-agi-agno-vs-scikit-optimize-scikit-optimize" tools: ["agno-agi-agno", "scikit-optimize-scikit-optimize"] --- # agno vs scikit-optimize *GraphCanon updated Jul 11, 2026* ## Verdict Pick agno when license: agno is Apache-2.0, scikit-optimize is BSD-3-Clause; pick scikit-optimize when license: scikit-optimize is BSD-3-Clause, agno is Apache-2.0. [agno](https://docs.agno.com) reports 41k GitHub stars, 5.6k forks, and 1.0k open issues, last pushed Jul 11, 2026. [scikit-optimize](https://scikit-optimize.github.io) has 2.8k stars, 559 forks, and 318 open issues, last pushed Feb 23, 2024. Figures are from public GitHub metadata via [agno's repository](https://github.com/agno-agi/agno) and [scikit-optimize's repository](https://github.com/scikit-optimize/scikit-optimize). | | [agno](/tools/agno-agi-agno.md) | [scikit-optimize](/tools/scikit-optimize-scikit-optimize.md) | | --- | --- | --- | | Tagline | Build, run, and manage your own agent platform. | Sequential model-based optimization with a `scipy.optimize` interface | | Stars | 41,090 | 2,826 | | Forks | 5,627 | 559 | | Open issues | 1,009 | 318 | | Language | Python | Python | | Adopt for | Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | BSD-3-Clause | | Categories | AI Agents, Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agno](/tools/agno-agi-agno.md) | [scikit-optimize](/tools/scikit-optimize-scikit-optimize.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 0d | 869d | | Archived on GitHub | No | Yes | | Open issues (now) | 1.0k | 318 | | Security scan | No lockfile | 17 low (17 low) | | Full report | [trust report](/tools/agno-agi-agno/trust.md) | [trust report](/tools/scikit-optimize-scikit-optimize/trust.md) | ## Decision facts: agno - **Adopt for:** Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ## Choose when ### Choose agno if… - License: agno is Apache-2.0, scikit-optimize is BSD-3-Clause. - Tags unique to agno: agents, ai-agents, developer-tools, python. - Also covers AI Agents. - Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ### Choose scikit-optimize if… - License: scikit-optimize is BSD-3-Clause, agno is Apache-2.0. - Tags unique to scikit-optimize: bayesian-optimization, bayesopt, binder, hacktoberfest. - Leaner open-issue backlog (318). ## When NOT to use agno - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## 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. ## Common questions ### What is the difference between agno and scikit-optimize? agno: Build, run, and manage your own agent platform.. scikit-optimize: Sequential model-based optimization with a `scipy.optimize` interface. See the comparison table for live GitHub stats and shared categories. ### When should I choose agno over scikit-optimize? Choose agno over scikit-optimize when License: agno is Apache-2.0, scikit-optimize is BSD-3-Clause; Tags unique to agno: agents, ai-agents, developer-tools, python; Also covers AI Agents; Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ### When should I choose scikit-optimize over agno? Choose scikit-optimize over agno when License: scikit-optimize is BSD-3-Clause, agno is Apache-2.0; Tags unique to scikit-optimize: bayesian-optimization, bayesopt, binder, hacktoberfest; Leaner open-issue backlog (318). ### When should I avoid agno? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### 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. ### Is agno or scikit-optimize more popular on GitHub? agno has more GitHub stars (41,090 vs 2,826). Stars measure visibility, not whether either tool fits your constraints. ### Are agno and scikit-optimize open source? Yes - both are open-source projects on GitHub (agno: Apache-2.0, scikit-optimize: BSD-3-Clause). ### Where can I find alternatives to agno or scikit-optimize? GraphCanon lists graph-backed alternatives at [agno alternatives](/tools/agno-agi-agno/alternatives) and [scikit-optimize alternatives](/tools/scikit-optimize-scikit-optimize/alternatives) ([agno markdown twin](/tools/agno-agi-agno/alternatives.md), [scikit-optimize markdown twin](/tools/scikit-optimize-scikit-optimize/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/agno-agi-agno-vs-scikit-optimize-scikit-optimize.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agno or scikit-optimize? agno: Very active. scikit-optimize: Archived. 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 agno and scikit-optimize? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agno trust report](/tools/agno-agi-agno/trust); [scikit-optimize trust report](/tools/scikit-optimize-scikit-optimize/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agno-agi-agno`](/api/graphcanon/graph?tool=agno-agi-agno) - 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/_