Home/Compare/autokeras vs tensorspace

Comparison

autokeras vs tensorspace

Verdict

Pick autokeras if autoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+; pick tensorspace if a JavaScript framework enabling interactive browser-based 3D visualization for neural networks from TensorFlow, Keras, and TensorFlow.js.

Markdown twin · autokeras alternatives · tensorspace alternatives

GraphCanon updated 3w

autokeras logo

autokeras

keras-team/autokeras

9.3kpushed Nov 25, 2025
vs
tensorspace logo

tensorspace

tensorspace-team/tensorspace

5.2kpushed Dec 5, 2022

Trust & integrity

Signalautokerastensorspace
Maintenance
Slowing (251d since push)
As of 3w · github_public_v1
Dormant (1336d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

autokeras
AutoML library for deep learning
tensorspace
Neural network 3D visualization framework for interactive models in browsers

Stars

autokeras
9.3k
tensorspace
5.2k

Forks

autokeras
1.4k
tensorspace
450

Open issues

autokeras
161
tensorspace
28

Language

autokeras
Python
tensorspace
JavaScript

Adopt for

autokeras
AutoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+.
tensorspace
A JavaScript framework enabling interactive browser-based 3D visualization for neural networks from TensorFlow, Keras, and TensorFlow.js.

Persona

autokeras
-
tensorspace
-

Runtime

autokeras
-
tensorspace
-

License

autokeras
Apache-2.0
tensorspace
Apache-2.0

Last pushed

autokeras
Nov 25, 2025
tensorspace
Dec 5, 2022

Categories

autokeras
Developer Tools, Model Training
tensorspace
Developer Tools

Trust and health

Maintenance

autokeras
Slowing (36%)
tensorspace
Dormant (18%)

Days since push

autokeras
251d
tensorspace
1336d

Open issues (now)

autokeras
161
tensorspace
28

Full report

autokeras
Trust report
tensorspace
Trust report

Choose autokeras if…

  • autokeras is primarily Python; tensorspace is JavaScript.
  • Tags unique to autokeras: autodl, automl, neural-architecture-search.
  • Also covers Model Training.
  • When your project involves deep learning tasks requiring minimal manual intervention in designing models.

When NOT to use autokeras

  • When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible.
  • If your project emphasizes transparent, understandable model architecture over automated generation without human oversight.

Choose tensorspace if…

  • tensorspace is primarily JavaScript; autokeras is Python.
  • Tags unique to tensorspace: 3d, javascript, neural-network, tfjs.
  • Project requires real-time visual insights into pre-trained deep learning models directly in web browsers.

When NOT to use tensorspace

  • Team lacks expertise in JavaScript, as tensorspace primarily relies on this language for integration and execution.
  • Project needs offline visualization capabilities since tensorspace operates exclusively within web browsers requiring internet access.

Explore

Sources

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

GitHub stars on cards: autokeras 9.3k · tensorspace 5.2k (synced Aug 4, 2026).

Common questions

What is the difference between autokeras and tensorspace?
autokeras: AutoML library for deep learning. tensorspace: Neural network 3D visualization framework for interactive models in browsers. See the comparison table for live GitHub stats and shared categories.
When should I choose autokeras over tensorspace?
Choose autokeras over tensorspace when autokeras is primarily Python; tensorspace is JavaScript; Tags unique to autokeras: autodl, automl, neural-architecture-search; Also covers Model Training; When your project involves deep learning tasks requiring minimal manual intervention in designing models.
When should I choose tensorspace over autokeras?
Choose tensorspace over autokeras when tensorspace is primarily JavaScript; autokeras is Python; Tags unique to tensorspace: 3d, javascript, neural-network, tfjs; Project requires real-time visual insights into pre-trained deep learning models directly in web browsers.
When should I avoid autokeras?
When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible. If your project emphasizes transparent, understandable model architecture over automated generation without human oversight.
When should I avoid tensorspace?
Team lacks expertise in JavaScript, as tensorspace primarily relies on this language for integration and execution. Project needs offline visualization capabilities since tensorspace operates exclusively within web browsers requiring internet access.
Is autokeras or tensorspace more popular on GitHub?
autokeras has more GitHub stars (9,328 vs 5,191). Stars measure visibility, not whether either tool fits your constraints.
Are autokeras and tensorspace open source?
Yes - both are open-source projects on GitHub (autokeras: Apache-2.0, tensorspace: Apache-2.0).
Where can I find alternatives to autokeras or tensorspace?
GraphCanon lists graph-backed alternatives at autokeras alternatives and tensorspace alternatives (autokeras markdown twin, tensorspace 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, autokeras or tensorspace?
autokeras: Slowing. tensorspace: 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 autokeras and tensorspace?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autokeras trust report; tensorspace trust report.

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