Alternatives

River alternatives for AI agents.

Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.

Current skill

River

🌊 Online machine learning in Python

100
Quality
94
Trust
5.8K
Stars
#1

Darts

Similarity 140Trust 97Excellent 100

A python library for user-friendly forecasting and anomaly detection on time series.

9.4K starsJun 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add unit8co/darts
#2

Cookiecutter Data Science

Similarity 140Trust 95Excellent 100

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

9.9K starsApr 9, 2026 pushml-automationPythonMachine Learning
$ npx skills add drivendataorg/cookiecutter-data-science
#3

Snorkel

Similarity 139Trust 94Excellent 100

A system for quickly generating training data with weak supervision

6.0K starsJun 8, 2026 pushml-automationPythonMachine Learning
$ npx skills add snorkel-team/snorkel
#4

Pyod

Similarity 132Trust 97Excellent 100

A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

9.9K starsJun 5, 2026 pushml-automationPythonMachine Learning
$ npx skills add yzhao062/pyod
#5

Sktime

Similarity 132Trust 94Excellent 100

A unified framework for machine learning with time series

9.8K starsJun 11, 2026 pushml-automationPythonMachine Learning
$ npx skills add sktime/sktime
#6

Pyro

Similarity 131Trust 94Excellent 100

Deep universal probabilistic programming with Python and PyTorch

9.0K starsJun 5, 2026 pushml-automationPythonMachine Learning
$ npx skills add pyro-ppl/pyro
#7

Pycaret

Similarity 131Trust 93Excellent 100

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

9.8K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add pycaret/pycaret
#8

Sonnet

Similarity 131Trust 92Excellent 100

TensorFlow-based neural network library

9.9K starsMay 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add google-deepmind/sonnet
#9

Aim

Similarity 131Trust 94Excellent 100

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

6.2K starsJun 14, 2026 pushml-automationPythonMachine Learning
$ npx skills add aimhubio/aim
#10

Ignite

Similarity 131Trust 96Excellent 100

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

4.8K starsJun 11, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/ignite
#11

Pytorch Forecasting

Similarity 130Trust 93Excellent 100

Time series forecasting with PyTorch

4.9K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add sktime/pytorch-forecasting
#12

Speech To Speech

Similarity 130Trust 93Excellent 100

Build local voice agents with open-source models

4.9K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add huggingface/speech-to-speech
#13

Statsforecast

Similarity 130Trust 93Excellent 100

Lightning ⚡️ fast forecasting with statistical and econometric models.

4.8K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add Nixtla/statsforecast
#14

Causalml

Similarity 130Trust 90Excellent 100

Uplift modeling and causal inference with machine learning algorithms

5.9K starsJun 8, 2026 pushml-automationPythonMachine Learning
$ npx skills add uber/causalml
#15

Executorch

Similarity 130Trust 89Excellent 100

On-device AI across mobile, embedded and edge for PyTorch

4.7K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/executorch
#16

Catboost

Similarity 126Trust 97Excellent 100

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

9.0K starsJun 12, 2026 pushml-automationC++Machine Learning
$ npx skills add catboost/catboost

How to choose

When should you switch?

Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep River if it already passes your workflow test and repository review.

Next step

Compare top candidates side by side

Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.