CL

CliMA/ClimaAtmos.jl

ClimaAtmos.jl is an atmosphere model that is designed to leverage data assimilation and machine learning tools for modeling and calibrating subgrid-scale processes.

117 30 -1/wk
GitHub
climate data-assimilation fluid-dynamics julia machine-learning optimization
Trend 0

Star & Fork Trend (14 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

CliMA/ClimaAtmos.jl has -1 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric ClimaAtmos.jl amux trex torchoptics
Stars 117 117117117
Forks 30 121217
Weekly Growth -1 +2+0+0
Language Julia PythonC++Python
Sources 1 111
License Apache-2.0 NOASSERTIONGPL-3.0MIT

Capability Radar vs amux

ClimaAtmos.jl
amux
Maintenance Activity 100

Last code push 1 days ago.

Community Engagement 100

Fork-to-star ratio: 25.6%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under Apache-2.0. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.