BenchmarkProfiles.jl

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d-monnet

They advertise fastest time to first plot in Julia. https://github.com/JuliaComputing/PlotlyLight.jl

dpo

PGFPlotsX backend references Plots.jl

2

https://github.com/JuliaSmoothOptimizers/BenchmarkProfiles.jl/blame/ccf20e9027f6d67053a4ae3bb65b2c434d96cc41/src/requires.jl#L149 and https://github.com/JuliaSmoothOptimizers/BenchmarkProfiles.jl/blame/ccf20e9027f6d67053a4ae3bb65b2c434d96cc41/src/requires.jl#L174 @geoffroyleconte

dpo

GRUtils is a user-friendly Julian interface to GR. A `stairs` function is available: https://heliosdrm.github.io/GRUtils.jl/stable/api/plotting/#GRUtils.stairs

dpo

GR has a `stairs` function but it does not appear in the documentation: https://github.com/jheinen/GR.jl/blob/e787dadb261206d4d93b7f6478fa55bb0de6606e/src/jlgr.jl#L1816 GR comes with much fewer dependencies than Plots.jl and is much faster.

dpo

https://jso.dev/tutorials/introduction-to-benchmarkprofiles/ Connected to https://github.com/JuliaSmoothOptimizers/JuliaSmoothOptimizers.github.io/issues/172

tmigot

tmigot

adds Dict{Symbol,DataFrame} as input for performance_profile

17

Implemented according to #48 and with [SolverBenchmark.jl](https://github.com/JuliaSmoothOptimizers/SolverBenchmark.jl/blob/master/src/profiles.jl) as metioned by @tmigot

lrsantos11

use DataFrames as input for `performance_profile()`

6

Using data frames from [DataFrames.jl](https://github.com/JuliaData/DataFrames.jl) as input for `performance_profile()` would be usefull. Perhaps, the syntax could be to have a DataFrame as ``` julia df = DataFrames(ProbName=String[],Solver1=Int[],Solver2=Int[],Solver3=Int[]) ``` then push...

lrsantos11

Currently, we implement Dolan and Moré performance profiles and Moré and Wild data profiles. For certain applications, including DFO, it would be useful to implement Moré and Wild performance profiles.

dpo