Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free. Learn more →
DaemonMode.jl Alternatives
Similar projects and alternatives to DaemonMode.jl
-
-
-
InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
-
-
-
-
FromFile.jl
Julia enhancement proposal (Julep) for implicit per file module in Julia
-
-
SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
-
julia-numpy-fortran-test
Comparing Julia vs Numpy vs Fortran for performance and code simplicity
-
-
-
-
-
-
ballista
Distributed compute platform implemented in Rust, and powered by Apache Arrow.
-
JET.jl
An experimental code analyzer for Julia. No need for additional type annotations.
-
-
-
-
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
DaemonMode.jl reviews and mentions
-
Julia performance, startup.jl, and sysimages
You might want DaemonMode.jl
-
Can I execute code in Julia REPL if I'm connected to a remote server?
https://github.com/dmolina/DaemonMode.jl can possibly help in the future. Leaving it here so that people know this is planned.
- Ask HN: Why hasn't the Deep Learning community embraced Julia yet?
-
Compile for faster execution?
If you strongly prefer to run scripts though, then you can use the package https://github.com/dmolina/DaemonMode.jl in order to re-use a Julia session between multiple scripts, saving you recompilation time.
-
Julia: Faster than Fortran, cleaner than Numpy
Proving again in the next upcoming release candidate.
Are you hitting the startup time very often? If so, you might want to try some things to keep one julia session open and sending code to it like a daemon instead of constantly closing and opening sessions.
This package makes that workflow really easy: https://github.com/dmolina/DaemonMode.jl
-
Why not Julia?
I would say so. As has been said countless time, running Julia scripts from the command line is not idiomatic. It might be fine for some things, but not for this use case. But, what you can do is use eitherhttps://github.com/dmolina/DaemonMode.jl
Yeah, unfortunately out of the box, that use case is still not great. If the main delay if loading a PKG tho, you can use DaemonMode.jl to go around that. It basically loads the pkg in the using x line the first time you run the script, and just uses that everytime you use x again.
-
I'm considering Rust, Go, or Julia for my next language and I'd like to hear your thoughts on these
Package load times were cut by roughly a factor of two, in my experience, but that doesn't bring the initialization overhead down to the point where it's usable as a standalone microservice. Your best options at this point are https://github.com/dmolina/DaemonMode.jl, which keeps a Julia process running in the background using a client/server model, or https://github.com/JuliaLang/PackageCompiler.jl, which allows for ~zero-overhead package loading (at the cost of some up-front complexity).
- CSV.File read extremely slow
-
Julia: A Post-Mortem
While moving the loop into Julia (as others suggested) is probably the better option, an alternative you could consider is DaemonMode: https://github.com/dmolina/DaemonMode.jl
I.e., have a background Julia process so that you only have to pay the precompile cost once.
-
A note from our sponsor - SonarQube
www.sonarqube.org | 29 Jan 2023
Stats
dmolina/DaemonMode.jl is an open source project licensed under MIT License which is an OSI approved license.
Popular Comparisons
- DaemonMode.jl VS julia
- DaemonMode.jl VS HTTP.jl
- DaemonMode.jl VS Makie.jl
- DaemonMode.jl VS db-benchmark
- DaemonMode.jl VS julia-numpy-fortran-test
- DaemonMode.jl VS DataFramesMeta.jl
- DaemonMode.jl VS FromFile.jl
- DaemonMode.jl VS PackageCompiler.jl
- DaemonMode.jl VS JuliaInterpreter.jl
- DaemonMode.jl VS RCall.jl