PyPI
sktime/sktime
A unified framework for machine learning with time series
BSD-3-Clause22. Sept. 2026 · Metriken 2.10.0
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#anomaly-detection
Alle Repositories im öffentlichen Register, die dieses Tag tragen — aus ihren GitHub-Topics oder den von ihren Paket-Registries veröffentlichten Schlagwörtern. Die Gesundheit wird nach derselben versionierten Methodik gemessen wie im übrigen Register.
24 Einträge
PyPI
Nixtla/nixtla
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
Eigene Lizenz18. Sept. 2026 · Metriken 2.10.0
PyPI
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
Apache-2.017. Sept. 2026 · Metriken 2.10.0
PyPI
albumentations-team/AlbumentationsX
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
AGPL-3.015. Sept. 2026 · Metriken 2.10.0
PyPI
stumpy-dev/stumpy
STUMPY is a powerful and scalable Python library for modern time series analysis
Eigene Lizenz17. Sept. 2026 · Metriken 2.10.0
PyPI
yzhao062/pyod
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
BSD-2-Clause27. Aug. 2026 · Metriken 2.10.0
npm · PyPI · RubyGems
BetterDB-inc/monitor
Real-time monitoring, slowlog analysis, and audit trails for Valkey and Redis
Eigene Lizenz21. Okt. 2026 · Metriken 2.10.0
PyPI
GiacomoSaccaggi/scomp_link
End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.
MIT9. Sept. 2026 · Metriken 2.10.0
PyPI · npm
getnable/finopsmcp
The headless FinOps intelligence layer: API-first, agent-first cost control for cloud + AI. Connect your cloud stack in Claude, Cursor, or the terminal, and gate what agents do to your infra before they act. Propose-only. Open source, local-first.
Apache-2.020. Okt. 2026 · Metriken 2.10.0
Packagist
RubixML/ML
A high-level machine learning and deep learning library for the PHP language.
MIT13. Sept. 2026 · Metriken 2.10.0
PyPI
pycaret/pycaret
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
Eigene Lizenz17. Sept. 2026 · Metriken 2.10.0
npm
ThoTischner/observability-mcp
Unified observability gateway for AI agents — one MCP server for Prometheus, Loki, and any backend, with cross-signal anomaly detection and a built-in Web UI.
Apache-2.013. Sept. 2026 · Metriken 2.10.0
Go
VictoriaMetrics/mcp-vmanomaly
The implementation of Model Context Protocol (MCP) server for VMAnomaly
Apache-2.018. Sept. 2026 · Metriken 2.10.0
PyPI · Maven
linkedin/isolation-forest
A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.
Eigene Lizenz19. Okt. 2026 · Metriken 2.10.0
PyPI
jtonini/nomad-hpc
Keine Repository-Beschreibung veröffentlicht.
AGPL-3.06. Okt. 2026 · Metriken 2.10.0
PyPI
microprediction/timemachines
Temporal online machines: streaming anomaly detection with calibrated p-values, built on skaters
MIT21. Sept. 2026 · Metriken 2.10.0
PyPI
james-sheen/arbiter
A detection engine that reports what it did not check. Eight axiom families over a domain model declared in YAML, with every declined evaluation recorded as a machine-readable reason.
Apache-2.026. Sept. 2026 · Metriken 2.10.0
PyPI
theorieken/anomx
Anomx is a library for time series datasets, forecasting, modeling, and anomaly detection. It provides modular tools for building interpretable workflows that help researchers and engineers understand temporal patterns, detect unusual behavior, and evaluate predictive models.
Eigene Lizenz4. Okt. 2026 · Metriken 2.10.0
PyPI
rahadbhuiya/HuddleCluster
High-performance distributed load balancer.
MIT20. Okt. 2026 · Metriken 2.10.0
PyPI
spang-lab/adadmire
Python package for detecting anomalies in tabular datasets using Mixed Graphical Models
MIT18. Sept. 2026 · Metriken 2.10.0
PyPI
arundo/adtk
A Python toolkit for rule-based/unsupervised anomaly detection in time series
MPL-2.017. Sept. 2026 · Metriken 2.10.0
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Stream-AD/MIDAS
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
Apache-2.09. Sept. 2026 · Metriken 2.10.0
PyPI
logpai/Drain3
A robust streaming log template miner based on the Drain algorithm
Eigene Lizenz13. Okt. 2026 · Metriken 2.10.0
PyPI
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
MIT17. Sept. 2026 · Metriken 2.10.0