recommenders-team/recommenders

Best Practices on Recommendation Systems

21.6k 3.3k +0/wk

GitHub PyPI 2-source

ai artificial-intelligence data-science deep-learning jupyter-notebook kubernetes machine-learning operationalization python ranking rating recommendation

Trend 3

Star & Fork Trend (37 data points)

Stars

Forks

Multi-Source Signals

Growth Velocity

recommenders-team/recommenders has +0 stars this period , with cross-source activity across 2 platforms (github, pypi). 7-day velocity: 0.0%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	recommenders	pytorch-handbook	activepieces	OpenViking
Stars	21.6k	21.6k	21.6k	21.7k
Forks	3.3k	5.4k	3.5k	1.6k
Weekly Growth	+0	+2	+13	+156
Language	Python	Jupyter Notebook	TypeScript	Python
Sources	2	1	1	2
License	MIT	N/A	NOASSERTION	AGPL-3.0

Capability Radar vs pytorch-handbook

recommenders

pytorch-handbook

Maintenance Activity 100

Last code push 2 days ago.

Community Engagement 77

Fork-to-star ratio: 15.3%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.