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.
Why this job: matched by what the repo talks about: evaluation, learn, open, framework
What it does
MOA is the most popular open source framework for data stream mining, with a very active growing community (blog). It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation. Related to the WEKA project, MOA is also written in Java, while scaling to more demanding problems.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 6 days ago
- Stars
- 671
- +2 this week
- Licence
- GPL-3.0
- Share-alike terms
- Downloads for
- None listed
- No release files
- Latest version
- 2024.07.0
- Released 2 years ago
- Built with
- Java
- 85% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 78% closed
- 19 still open
- Pull requests
- 168 merged
- 21 waiting
- Releases
- 16
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Java 85%
- TeX 15%
- Shell <1%
- Dockerfile <1%
Topics
- java
- machine-learning
- machine-learning-algorithms
- streaming-algorithms
- data-stream-mining
- clustering
- moa
Project record
- JobEvals and observability
- StatusListed
- Commits1,406
- Forks370
- Watching49
- Stars in 28 days+3
- CreatedMay 2, 2014
- First seen by usNov 7, 2026
- CheckedNov 8, 2026