online-ml
unknownScores
1 product on the map — 1 open.
Openness
5 high confidence- license
- BSD-3-Clause(OSI)
- source
- public(github.com/online-ml/river)
- core features withheld
- no — community project
BSD-3-Clause and built from the public repository, maintained by its contributors with no company selling an edition.
- https://pypi.org/pypi/river/json recorded 2026-09-27
PyPI record for river 0.26.1, uploaded 2026-08-21, license BSD-3-Clause, Repository github.com/online-ml/river.
- https://raw.githubusercontent.com/online-ml/river/main/LICENSE recorded 2026-09-27
LICENSE is the "BSD 3-Clause License", "Copyright (c) 2020, the river developers".
- https://raw.githubusercontent.com/online-ml/river/main/README.md recorded 2026-09-27
README: "River is a Python library for online machine learning."; "River is the result of a merger between creme and scikit-multiflow."; no paid tier or commercial edition mentioned.
- https://ungh.cc/repos/online-ml/river/files/main recorded 2026-09-27
Repository tree of 797 paths with no ee, enterprise, commercial or pro directory.
Adoption
3 high confidenceMeasured on monthly PyPI downloads of the river package.
- https://pypistats.org/api/packages/river/recent recorded 2026-09-27
last_month 155,134 downloads of river
Capability
3 high confidenceRiver is to streaming data what scikit-learn is to fixed datasets, a broad catalog of learners and the tools to evaluate them, and it goes as far as picking among candidate models online. Designing the candidates is still left to the user.
- https://riverml.xyz/latest/api/overview/ recorded 2026-09-27
API overview modules include anomaly, bandit, cluster, drift, ensemble, forest, linear_model, model_selection, naive_bayes, neighbors, reco, time_series and tree; "Model selection can be used for tuning the hyperparameters of a model."