Indicators.jl
Financial market technical analysis & indicators in Julia (by dysonance)
BenchmarkTools.jl
A benchmarking framework for the Julia language (by JuliaCI)
| Indicators.jl | BenchmarkTools.jl | |
|---|---|---|
| 1 | 2 | |
| 213 | 592 | |
| - | 1.5% | |
| 0.0 | 6.8 | |
| over 1 year ago | 9 days ago | |
| Julia | Julia | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
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.
Indicators.jl
Posts with mentions or reviews of Indicators.jl.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Would it a possible to use technical indicators on the GPU in Julia?
The most popular technical indicators library for Julia is [Indicators.jl](https://github.com/dysonance/Indicators.jl). I want to use these indicators together with cuarrays [Array programming for the GPU](https://cuda.juliagpu.org/stable/usage/array/), is this possible? Or are there any other solutions to use basic indicators like SMA, EMA, MACD, STOCH, ... on the GPU in Julia?
BenchmarkTools.jl
Posts with mentions or reviews of BenchmarkTools.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-10.
-
Compile for faster execution?
If you want to measure the compilation time, you can install BenchmarkTools and use the @btime macro.
-
How to properly optimize Julia code?
Note that the first time you run a function, you're measuring its compilation time as well. So run it twice to measure it properly, or even better, use https://github.com/JuliaCI/BenchmarkTools.jl
What are some alternatives?
When comparing Indicators.jl and BenchmarkTools.jl you can also consider the following projects:
MarketData.jl - Time series market data
TimerOutputs.jl - Formatted output of timed sections in Julia
StatsWithJuliaBook
ARCHModels.jl - A Julia package for estimating ARMA-GARCH models.
Julia-Matlab-Benchmark - This repository is a place for accurate benchmarks between Julia and MATLAB and comparing the two.
computing-julia - Examples of the Julia programming language
PackageCompiler.jl - Compile your Julia Package
Makie.jl - Interactive data visualizations and plotting in Julia
WebDriver.jl - A WebDriver / JSON Wire Protocol Binding Compatible with Selenium for the Julia Language.
18337 - 18.337 - Parallel Computing and Scientific Machine Learning
Indicators.jl vs MarketData.jl
BenchmarkTools.jl vs TimerOutputs.jl
Indicators.jl vs StatsWithJuliaBook
BenchmarkTools.jl vs ARCHModels.jl
Indicators.jl vs ARCHModels.jl
BenchmarkTools.jl vs Julia-Matlab-Benchmark
Indicators.jl vs computing-julia
BenchmarkTools.jl vs PackageCompiler.jl
Indicators.jl vs Makie.jl
BenchmarkTools.jl vs WebDriver.jl
BenchmarkTools.jl vs StatsWithJuliaBook
BenchmarkTools.jl vs 18337