Skyline
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Overview
Anomify - cutting edge Skyline
Requirements
Getting started
Running Skyline in a Python virtualenv
Installation
Upgrading
Getting data into Skyline
Alert testing
Alerts
slack
Strictly increasing monotonicity
Horizon
Analyzer
Analyzer Optimizations
Algorithms
Custom algorithms
matrixprofile
spectral_residual
DBSCAN
Local Outlier Factor
PCA
isolation_forest
prophet
one_class_svm
MSTL
spectral_entropy
macd
m66
Mirage
Boundary
Crucible
Panorama
Webapp
Ionosphere
Ionosphere echo
Ionosphere inference
Ionosphere learning from repetitive patterns
tsfresh
Luminosity
Flux
upload_data to Flux - EXPERIMENTAL
Prometheus
Vortex
Thunder
Vista
SNAB
settings.EXTERNAL_SETTINGS
Redis integration
re
brow
Running multiple Skyline instances
Skyline and friends
Logging
Tuning tips
Monitoring Skyline
Sky
line
metrics
opentelemetry
Trouble shooting
Deprecated docs
Release Notes
What’s new
Development
Roadmap
skyline package
Skyline
Algorithms
Edit on GitHub
Algorithms
Custom algorithms
Available custom algorithms
Implementing a custom algorithm
The use of numba optimisations
settings.CUSTOM_ALGORITHMS
The custom algorithm file
int and floats
ONLY
and no nans
anomalyScore
Custom algorithm requirements
Error handling
Example custom algorithms
Running a Mirage only custom algorithm on a metric all the time
Some things to consider
matrixprofile
Considerations when implementing matrixprofile
HOWEVER - trigger_history_override
Enabling matrixprofile to run in Mirage
spectral_residual
DBSCAN
Local Outlier Factor
PCA
isolation_forest
prophet
one_class_svm
MSTL
spectral_entropy
macd
m66
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Versions
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stable
v4.0.0
v3.0.4
v3.0.3
v3.0.2
v3.0.0
v2.0.0
v1.3.1
luminosity
ionosphere
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