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Nixtla: TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. It is listed under Data & Analytics on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match Nixtla. This is an automatic list. We have not written a researched verdict for Nixtla yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data.
PyOD is an open source Python library for anomaly and outlier detection, positioned by its maintainers as the hub library and API standard for the field. It offers more than 60 detection algorithms behind one interface and covers five data types: tabular, time series, graph, text and image data. The project also includ...
AI Infra / AI Orchestration / AI Control Plane
Polyaxon is an open source control plane for running machine learning and AI workloads on Kubernetes. It schedules, tracks and governs training jobs, services, notebooks, agent sessions and sandboxes on the customer's own clusters, so data, models, logs and artifacts stay inside infrastructure the customer controls. I...
A bare-bones Python library for quality diversity optimization.
pyribs is a bare bones Python library for quality diversity optimization. Instead of searching for a single best solution, quality diversity algorithms build a collection of high performing solutions that differ along chosen measures. The library is the official implementation of Covariance Matrix Adaptation MAP Elites...
A unified framework for machine learning with time series
Sktime is an open source Python framework for time series machine learning. It puts forecasting, classification, anomaly detection, feature extraction and probabilistic prediction behind one consistent API, so a team can fit and compare models without learning a new interface for each method. The library covers more t...
The CLI for GPUs
TensorPool is a GPU cloud for machine learning training and inference. Users create multi node GPU clusters on demand from a command line tool, with commands to create a cluster, attach shared storage and push training jobs through a Git style interface. Normal SSH access is also offered. The company schedules users on...
A refreshing functional take on deep learning, compatible with your favorite libraries
Thinc is a lightweight, type checked deep learning library for composing models in Python. It comes from the makers of spaCy and Prodigy, and earlier versions of the library have powered spaCy since its release. The current design is a redesign that takes a functional approach to defining neural networks. The library ...