Home/Compare/agno vs scikit-optimize

Comparison

agno vs scikit-optimize

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.

Markdown twin · agno alternatives · scikit-optimize alternatives

GraphCanon updated today

agno logo

agno

agno-agi/agno

41kpushed Jul 11, 2026
vs
scikit-optimize logo

scikit-optimize

scikit-optimize/scikit-optimize

2.8kpushed Feb 23, 2024

Trust & integrity

Signalagnoscikit-optimize
Maintenance
Very active (0d since push)
As of today · github_public_v1
Archived (869d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
17 low (17 low)
As of today · osv@v1

Tagline

agno
Build, run, and manage your own agent platform.
scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface

Stars

agno
41k
scikit-optimize
2.8k

Forks

agno
5.6k
scikit-optimize
559

Open issues

agno
1.0k
scikit-optimize
318

Language

agno
Python
scikit-optimize
Python

Adopt for

agno
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.
scikit-optimize
-

Persona

agno
-
scikit-optimize
-

Runtime

agno
-
scikit-optimize
-

License

agno
Apache-2.0
scikit-optimize
BSD-3-Clause

Last pushed

agno
Jul 11, 2026
scikit-optimize
Feb 23, 2024

Categories

agno
AI Agents, Developer Tools
scikit-optimize
Developer Tools

Trust and health

Maintenance

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

Days since push

agno
0d
scikit-optimize
869d

Archived on GitHub

agno
No
scikit-optimize
Yes

Open issues (now)

agno
1.0k
scikit-optimize
318

Security scan

agno
No lockfile
scikit-optimize
17 low (17 low)

Full report

scikit-optimize
Trust report

Choose agno if…

  • License: agno is Apache-2.0, scikit-optimize is BSD-3-Clause.
  • Tags unique to agno: agents, python, developer-tools, ai-agents.
  • 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 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.

Choose scikit-optimize if…

  • License: scikit-optimize is BSD-3-Clause, agno is Apache-2.0.
  • Tags unique to scikit-optimize: binder, hyperparameter-search, hacktoberfest, hyperparameter.
  • Leaner open-issue backlog (318).

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.

Explore

Sources

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

GitHub stars on cards: agno 41k · scikit-optimize 2.8k (synced Jul 11, 2026).

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, python, developer-tools, ai-agents; 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: binder, hyperparameter-search, hacktoberfest, hyperparameter; 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 and scikit-optimize alternatives (agno markdown twin, scikit-optimize 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, 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; scikit-optimize trust report.