Waikato/moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

654 368 +0/wk

GitHub

clustering data-stream-mining java machine-learning machine-learning-algorithms moa streaming-algorithms

Trend 0

Star & Fork Trend (17 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 654

forks 368

Growth Velocity

Waikato/moa has +0 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	moa	timber	verde	autonomous-learning-library
Stars	654	654	654	655
Forks	368	20	73	74
Weekly Growth	+0	+0	+0	+0
Language	Java	Python	Python	Python
Sources	1	1	1	1
License	GPL-3.0	NOASSERTION	BSD-3-Clause	MIT

Capability Radar vs timber

moa

timber

Maintenance Activity 40

Last code push 111 days ago.

Community Engagement 20

Fork-to-star ratio: 56.3%. 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 70

Licensed under GPL-3.0. Copyleft — check compatibility requirements.

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