Home/Compare/auto-sklearn vs manifold

Comparison

auto-sklearn vs manifold

Verdict

Pick auto-sklearn when auto-sklearn is primarily Python; manifold is JavaScript; pick manifold when manifold is primarily JavaScript; auto-sklearn is Python.

Markdown twin · auto-sklearn alternatives · manifold alternatives

GraphCanon updated today

auto-sklearn logo

auto-sklearn

automl/auto-sklearn

8.1kpushed Jun 29, 2026
vs
manifold logo

manifold

uber/manifold

1.7kpushed Feb 5, 2025

Trust & integrity

Signalauto-sklearnmanifold
Maintenance
Active (12d since push)
As of today · github_public_v1
Dormant (521d 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)
22 low (22 low)
As of today · osv@v1
No lockfile
As of today · none

Tagline

auto-sklearn
Automated Machine Learning with scikit-learn
manifold
A model-agnostic visual debugging tool for machine learning

Stars

auto-sklearn
8.1k
manifold
1.7k

Forks

auto-sklearn
1.3k
manifold
115

Open issues

auto-sklearn
210
manifold
83

Language

auto-sklearn
Python
manifold
JavaScript

Adopt for

auto-sklearn
-
manifold
-

Persona

auto-sklearn
-
manifold
-

Runtime

auto-sklearn
-
manifold
-

License

auto-sklearn
BSD-3-Clause
manifold
Apache-2.0

Last pushed

auto-sklearn
Jun 29, 2026
manifold
Feb 5, 2025

Categories

auto-sklearn
Computer Vision, Developer Tools, Model Training
manifold
Computer Vision

Trust and health

Maintenance

auto-sklearn
Active (82%)
manifold
Dormant (18%)

Days since push

auto-sklearn
12d
manifold
521d

Open issues (now)

auto-sklearn
210
manifold
83

Security scan

auto-sklearn
22 low (22 low)
manifold
No lockfile

Full report

auto-sklearn
Trust report
manifold
Trust report

Choose auto-sklearn if…

  • auto-sklearn is primarily Python; manifold is JavaScript.
  • License: auto-sklearn is BSD-3-Clause, manifold is Apache-2.0.
  • Tags unique to auto-sklearn: automated-machine-learning, automl, bayesian-optimization, hyperparameter-optimization.
  • Also covers Developer Tools, Model Training.
  • auto-sklearn ships Docker support for self-hosted deployment.

When NOT to use auto-sklearn

  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Choose manifold if…

  • manifold is primarily JavaScript; auto-sklearn is Python.
  • License: manifold is Apache-2.0, auto-sklearn is BSD-3-Clause.
  • Tags unique to manifold: incubation, javascript, machine-learning, visualization.

When NOT to use manifold

  • Last GitHub push was 521 days ago (dormant maintenance, Feb 5, 2025). Validate activity before betting a new project on manifold.

Explore

Sources

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

GitHub stars on cards: auto-sklearn 8.1k · manifold 1.7k (synced Jul 11, 2026).

Common questions

What is the difference between auto-sklearn and manifold?
auto-sklearn: Automated Machine Learning with scikit-learn. manifold: A model-agnostic visual debugging tool for machine learning. See the comparison table for live GitHub stats and shared categories.
When should I choose auto-sklearn over manifold?
Choose auto-sklearn over manifold when auto-sklearn is primarily Python; manifold is JavaScript; License: auto-sklearn is BSD-3-Clause, manifold is Apache-2.0; Tags unique to auto-sklearn: automated-machine-learning, automl, bayesian-optimization, hyperparameter-optimization; Also covers Developer Tools, Model Training; auto-sklearn ships Docker support for self-hosted deployment.
When should I choose manifold over auto-sklearn?
Choose manifold over auto-sklearn when manifold is primarily JavaScript; auto-sklearn is Python; License: manifold is Apache-2.0, auto-sklearn is BSD-3-Clause; Tags unique to manifold: incubation, javascript, machine-learning, visualization.
When should I avoid auto-sklearn?
Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
When should I avoid manifold?
Last GitHub push was 521 days ago (dormant maintenance, Feb 5, 2025). Validate activity before betting a new project on manifold.
Is auto-sklearn or manifold more popular on GitHub?
auto-sklearn has more GitHub stars (8,119 vs 1,671). Stars measure visibility, not whether either tool fits your constraints.
Are auto-sklearn and manifold open source?
Yes - both are open-source projects on GitHub (auto-sklearn: BSD-3-Clause, manifold: Apache-2.0).
Where can I find alternatives to auto-sklearn or manifold?
GraphCanon lists graph-backed alternatives at auto-sklearn alternatives and manifold alternatives (auto-sklearn markdown twin, manifold 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, auto-sklearn or manifold?
auto-sklearn: Active. manifold: Dormant. 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 auto-sklearn and manifold?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: auto-sklearn trust report; manifold trust report.