A unified framework for machine learning with time series
$ npx skills add sktime/sktimeAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
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.
A unified framework for machine learning with time series
$ npx skills add sktime/sktimeA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/darts🏅 Collection of Kaggle Solutions and Ideas 🏅
$ npx skills add faridrashidi/kaggle-solutionsOpen-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
$ npx skills add pycaret/pycaretTime series forecasting with PyTorch
$ npx skills add sktime/pytorch-forecastingA 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.
$ npx skills add catboost/catboostStatistical Machine Intelligence & Learning Engine
$ npx skills add haifengl/smileRelax! Flux is the ML library that doesn't make you tensor
$ npx skills add FluxML/Flux.jlHigh-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
$ npx skills add vwxyzjn/cleanrlTensorFlow-based neural network library
$ npx skills add google-deepmind/sonnetA logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
$ npx skills add drivendataorg/cookiecutter-data-scienceEffortless data labeling with AI support from Segment Anything and other awesome models.
$ npx skills add CVHub520/X-AnyLabelingDeep universal probabilistic programming with Python and PyTorch
$ npx skills add pyro-ppl/pyroLightning ⚡️ fast forecasting with statistical and econometric models.
$ npx skills add Nixtla/statsforecastHigh-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
$ npx skills add pytorch/igniteOn-device AI across mobile, embedded and edge for PyTorch
$ npx skills add pytorch/executorchHow to choose
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 Pyod if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.