|
gptkbp:instance_of
|
gptkb:software_framework
|
|
gptkbp:bfsLayer
|
4
|
|
gptkbp:bfsParent
|
gptkb:Py_Torch
|
|
gptkbp:constructed_in
|
microservices architecture
|
|
gptkbp:developed_by
|
gptkb:Lyft
gptkb:Java
gptkb:R
gptkb:Library
gptkb:Go
gptkb:Skrull
gptkb:item
|
|
gptkbp:enables
|
reproducibility
|
|
gptkbp:features
|
multi-language support
versioning
parameterization
task retries
dynamic workflows
|
|
gptkbp:has
|
gptkb:API
gptkb:operating_system
gptkb:document
community support
CLI tool
UI dashboard
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Flyte
|
|
gptkbp:integrates_with
|
gptkb:AWS
gptkb:GCP
gptkb:Azure
|
|
gptkbp:is_adopted_by
|
academic institutions
research institutions
startups
enterprises
|
|
gptkbp:is_compatible_with
|
gptkb:lake
gptkb:Helm
|
|
gptkbp:is_designed_for
|
cloud environments
|
|
gptkbp:is_open_source
|
gptkb:theorem
|
|
gptkbp:is_scalable
|
gptkb:theorem
|
|
gptkbp:is_used_by
|
data scientists
data engineers
|
|
gptkbp:is_used_in
|
production environments
|
|
gptkbp:language
|
gptkb:Library
|
|
gptkbp:provides
|
logging
containerization
monitoring
|
|
gptkbp:suitable_for
|
ETL processes
stream processing
batch processing
data pipelines
|
|
gptkbp:supports
|
gptkb:software_framework
distributed computing
data science
CI/ CD
|
|
gptkbp:type
|
workflow orchestration
|
|
gptkbp:uses
|
gptkb:fortification
|