Home/Compare/LibFewShot vs hub

Comparison

LibFewShot vs hub

Verdict

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

Markdown twin · LibFewShot alternatives · hub alternatives

GraphCanon updated today

LibFewShot logo

LibFewShot

RL-VIG/LibFewShot

1.1kpushed Oct 27, 2025
vs
hub logo

hub

tensorflow/hub

3.5kpushed Jan 17, 2025

Trust & integrity

SignalLibFewShothub
Maintenance
Slowing (257d 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

LibFewShot
[TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning.
hub
A library for transfer learning by reusing parts of TensorFlow models.

Stars

LibFewShot
1.1k
hub
3.5k

Forks

LibFewShot
199
hub
1.6k

Open issues

LibFewShot
9
hub
14

Language

LibFewShot
Python
hub
Python

Adopt for

LibFewShot
-
hub
-

Persona

LibFewShot
-
hub
-

Runtime

LibFewShot
-
hub
-

License

LibFewShot
MIT
hub
Apache-2.0

Last pushed

LibFewShot
Oct 27, 2025
hub
Jan 17, 2025

Categories

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

Trust and health

Maintenance

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

Days since push

LibFewShot
257d
hub
539d

Open issues (now)

LibFewShot
9
hub
14

Full report

LibFewShot
Trust report

Choose LibFewShot if…

  • License: LibFewShot is MIT, hub is Apache-2.0.
  • Tags unique to LibFewShot: meta-learning, fine-tuning, few-shot-learning, pytorch.
  • More recently updated (last pushed Oct 27, 2025).

When NOT to use LibFewShot

  • Last GitHub push was 257 days ago (slowing maintenance, Oct 27, 2025). Validate activity before betting a new project on LibFewShot.
  • 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, LibFewShot is MIT.
  • Tags unique to hub: ml, embeddings, machine-learning, transfer-learning.
  • Also covers Vector Databases.

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: LibFewShot 1.1k · hub 3.5k (synced Jul 11, 2026).

Common questions

What is the difference between LibFewShot and hub?
LibFewShot: [TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning.. 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 LibFewShot over hub?
Choose LibFewShot over hub when License: LibFewShot is MIT, hub is Apache-2.0; Tags unique to LibFewShot: meta-learning, fine-tuning, few-shot-learning, pytorch; More recently updated (last pushed Oct 27, 2025).
When should I choose hub over LibFewShot?
Choose hub over LibFewShot when License: hub is Apache-2.0, LibFewShot is MIT; Tags unique to hub: ml, embeddings, machine-learning, transfer-learning; Also covers Vector Databases.
When should I avoid LibFewShot?
Last GitHub push was 257 days ago (slowing maintenance, Oct 27, 2025). Validate activity before betting a new project on LibFewShot. 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 LibFewShot or hub more popular on GitHub?
hub has more GitHub stars (3,521 vs 1,069). Stars measure visibility, not whether either tool fits your constraints.
Are LibFewShot and hub open source?
Yes - both are open-source projects on GitHub (LibFewShot: MIT, hub: Apache-2.0).
Where can I find alternatives to LibFewShot or hub?
GraphCanon lists graph-backed alternatives at LibFewShot alternatives and hub alternatives (LibFewShot 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, LibFewShot or hub?
LibFewShot: 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 LibFewShot and hub?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LibFewShot trust report; hub trust report.