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scikit-optimize(skopt)

Sequential model-based optimization with a scipy.optimize interface

Our verdict

Not reviewed yet

We have not reviewed scikit-optimize(skopt) yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About scikit-optimize(skopt)

Sequential model-based optimization with a scipy.optimize interface. It provides a simple Python API for hyperparameter tuning and black-box optimization using surrogate models. The library is community-maintained and designed to integrate seamlessly with NumPy and SciPy workflows.

Best for

Python developers who need a simple, scipy-compatible optimizer for moderate-scale hyperparameter or parameter tuning

Use cases

  • Hyperparameter tuning for machine learning models
  • Black-box optimization of expensive evaluation functions
  • Automated parameter search in scientific computing pipelines

Notes

2,826 stars on GitHub. Last updated 2024-02-23. Licensed BSD-3-Clause.

Pros

  • Familiar scipy.optimize interface lowers learning curve
  • Lightweight and easy to install with minimal dependencies
  • Supports several surrogate models (GP, RF, GBRT) out of the box

Cons

  • Sequential nature limits parallel optimization without additional wrappers
  • No native support for distributed or cloud-based execution
  • Community maintenance may lead to slower issue resolution

Key facts

What we have checked

Latest version
0.9.0 (released 12 Oct 2021)
Checked GitHub
Days since the last commit
981
Checked GitHub
GitHub forks
555
Checked GitHub
GitHub stars
2,829
Checked GitHub
Days to a first reply on issues
1059.4
Checked GitHub
Open issues
254
Checked GitHub
Releases in the last 90 days
0
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How scikit-optimize(skopt) is growing

GitHub stars

2,826 to 2,829

stars. 12 July 2026 to 31 Oct 2026, 3 readings.

Source: GitHub. Checked .

Health and security

Is scikit-optimize(skopt) looked after, and what do its setup files show

Health score

0 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Archived0Repository is archived

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

  • GitHubOfficial

    Checked · Latest version

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Shut down

    Source: GitHub

  2. Released 0.9.0

    Source: GitHub

  3. Released 0.8.1

    Source: GitHub

  4. Released 0.8.0

    Source: GitHub

  5. Released 0.7.4

    Source: GitHub

  6. Released 0.7.3

    Source: GitHub

  7. Released 0.7.2

    Source: GitHub

  8. Released 0.7.1

    Source: GitHub

  9. Released 0.7

    Source: GitHub

  10. Released 0.7rc4

    Source: GitHub

  11. Released 0.7rc3

    Source: GitHub

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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