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Kalix
chasegan/Kalix
Tutorials
Tutorials
The fundamentals
The fundamentals
01 · Your first model
02 · Expressions
03 · Relative & trailhead paths
04 · Running from the commandline
05 · Running from Python
Calibration & analysis
Calibration & analysis
12 · Optimisation from the commandline
13 · Optimisation from Python
River operation & resource management
River operation & resource management
18 · Weir pulsing
Docs
Docs
About Kalix
Components
Components
[kalix]
[data]
[constants]
[var.*]
[node.*]
[node.*]
[node.*]
AWBM
Blackhole
Confluence
Gauge
Field
GR4J
GR4JSG
Inflow
Loss
Order control
Regulated user
Routing
Sacramento
Splitter
Storage
Storage
Storage
Storage tables
SURM
Unregulated user
[table.*]
[acc.*]
[ras.*]
[fn]
[outputs]
KalixIDE
Kalix CLI
Kalix in Python
Deep topics
Deep topics
Allocation systems
Conventions
Data cache
Dynamic expressions
Dynamic expressions
Dynamic Expressions
Referencing input data
Referencing model results
Simulation context variables
Kalix binary path in KalixIDE
Optimisation
Optimisation
Optimisation
Optimisable parameters
Objective functions
Algorithms
Algorithms
Shuffled Complex Evolution (SCE)
CMA-ES
Differential Evolution
DREAM
Ordering
Parameter types
Rainfall-runoff models
Rainfall-runoff models
GR4J
Sacramento
Run Manager
Running notebooks with uv
Glossary
Downloads
Help
Code
Code
Start developing
Platform design
Platform design
Manifesto
The dev stack
ADRs
ADRs
Template
0001 Record decisions in ADRs
0002 Context-menu style
0003 Separate identity from labels
0004 Performance on the hot path
0005 Node definition order
0006 Expression naming
0007 File-tree colour
0008 Ordering knowledge in exhaustive matches
0009 Options: faster or clearer
0010 Annotations
0011 No scheduled dependency audit
0012 Inputs in step with the simulation
0013 Package the IDE with jpackage
Website
Website
Todo
Run management
¶
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