Home/Compare/archai vs hub

Comparison

archai vs hub

Verdict

Pick archai when license: archai is MIT, hub is Apache-2.0; pick hub when license: hub is Apache-2.0, archai is MIT.

Markdown twin · archai alternatives · hub alternatives

GraphCanon updated today

archai logo

archai

microsoft/archai

485pushed Nov 24, 2025
vs
hub logo

hub

tensorflow/hub

3.5kpushed Jan 17, 2025

Trust & integrity

Signalarchaihub
Maintenance
Slowing (229d since push)
As of today · github_public_v1
Dormant (539d 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
No lockfile
As of today · none

Tagline

archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
hub
A library for transfer learning by reusing parts of TensorFlow models.

Stars

archai
485
hub
3.5k

Forks

archai
93
hub
1.6k

Open issues

archai
4
hub
14

Language

archai
Python
hub
Python

Adopt for

archai
-
hub
-

Persona

archai
-
hub
-

Runtime

archai
-
hub
-

License

archai
MIT
hub
Apache-2.0

Last pushed

archai
Nov 24, 2025
hub
Jan 17, 2025

Categories

archai
Model Training
hub
Vector Databases, Model Training, Computer Vision

Trust and health

Maintenance

archai
Slowing (36%)
hub
Dormant (18%)

Days since push

archai
229d
hub
539d

Open issues (now)

archai
4
hub
14

Full report

Choose archai if…

  • License: archai is MIT, hub is Apache-2.0.
  • Tags unique to archai: model-compression, automl, deep-learning, nas.
  • More recently updated (last pushed Nov 24, 2025).

When NOT to use archai

  • Last GitHub push was 230 days ago (slowing maintenance, Nov 24, 2025). Validate activity before betting a new project on archai.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Choose hub if…

  • License: hub is Apache-2.0, archai is MIT.
  • Tags unique to hub: ml, embeddings, python, image-classification.
  • Also covers Vector Databases, Computer Vision.

When NOT to use hub

  • Last GitHub push was 540 days ago (dormant maintenance, Jan 17, 2025). Validate activity before betting a new project on hub.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Explore

Sources

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

GitHub stars on cards: archai 485 · hub 3.5k (synced Jul 11, 2026).

Common questions

What is the difference between archai and hub?
archai: Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.. hub: A library for transfer learning by reusing parts of TensorFlow models.. See the comparison table for live GitHub stats and shared categories.
When should I choose archai over hub?
Choose archai over hub when License: archai is MIT, hub is Apache-2.0; Tags unique to archai: model-compression, automl, deep-learning, nas; More recently updated (last pushed Nov 24, 2025).
When should I choose hub over archai?
Choose hub over archai when License: hub is Apache-2.0, archai is MIT; Tags unique to hub: ml, embeddings, python, image-classification; Also covers Vector Databases, Computer Vision.
When should I avoid archai?
Last GitHub push was 230 days ago (slowing maintenance, Nov 24, 2025). Validate activity before betting a new project on archai. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
When should I avoid hub?
Last GitHub push was 540 days ago (dormant maintenance, Jan 17, 2025). Validate activity before betting a new project on hub. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Is archai or hub more popular on GitHub?
hub has more GitHub stars (3,521 vs 485). Stars measure visibility, not whether either tool fits your constraints.
Are archai and hub open source?
Yes - both are open-source projects on GitHub (archai: MIT, hub: Apache-2.0).
Where can I find alternatives to archai or hub?
GraphCanon lists graph-backed alternatives at archai alternatives and hub alternatives (archai markdown twin, hub 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, archai or hub?
archai: Slowing. hub: 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 archai and hub?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: archai trust report; hub trust report.