Tods Alternatives
Similar projects and alternatives to tods
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anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
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luminaire
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
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PyPOTS
A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
tods reviews and mentions
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Unsupervised Anomaly Detection with Multivariate Time series
I suggest you try some AutoML library for anomaly detection, e.g.: https://github.com/datamllab/tods
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[P] [R] Luminaire: A hands-off Anomaly Detection Library
TODS
Stats
datamllab/tods is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of tods is Python.