IJulia.jl VS klipper-lb

Compare IJulia.jl vs klipper-lb and see what are their differences.

klipper-lb

Embedded service load balancer in Klipper (by k3s-io)
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IJulia.jl klipper-lb
3 4
2,748 317
0.8% 4.1%
4.8 4.9
about 2 months ago 2 months ago
Julia Shell
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

IJulia.jl

Posts with mentions or reviews of IJulia.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-12.

klipper-lb

Posts with mentions or reviews of klipper-lb. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-12.

What are some alternatives?

When comparing IJulia.jl and klipper-lb you can also consider the following projects:

Pluto.jl - 🎈 Simple reactive notebooks for Julia

metallb - A network load-balancer implementation for Kubernetes using standard routing protocols

nvim-treesitter - Nvim Treesitter configurations and abstraction layer

Pyston - A faster and highly-compatible implementation of the Python programming language.

AMDGPU.jl - AMD GPU (ROCm) programming in Julia

enhancements - Enhancements tracking repo for Kubernetes

REPLHistory.jl - Gain access to the Julia REPL history.

K8sClusterManagers.jl - A Julia cluster manager for Kubernetes

k8s-device-plugin - Kubernetes (k8s) device plugin to enable registration of AMD GPU to a container cluster

OhMyREPL.jl - Syntax highlighting and other enhancements for the Julia REPL

NeuralPDE.jl - Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation