Lift VS luajit

Compare Lift vs luajit and see what are their differences.

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Lift luajit
3 1
1,266 540
-0.1% -
0.0 10.0
about 1 year ago over 4 years ago
Scala C
Apache License 2.0 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.

Lift

Posts with mentions or reviews of Lift. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-15.

luajit

Posts with mentions or reviews of luajit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-08.
  • Back-end languages are coming to the front-end
    16 projects | news.ycombinator.com | 8 Feb 2022
    > No offence, but have you written any compilers or interpreters?

    I have, but nothing sophisticated.

    > The points that you discuss [...] may be performance concerns for application developers [...] but they have very little to do with the optimisations you can make as a compiler/interpreter writer. [...] The only one that's somewhat relevant is 'global scope by default'

    I didn't mean to imply that these where the three common traits that make both Javascript and Lua particularly hard to optimize, I just picked them as examples for how Javascript and Lua are closer to each other than most other dynamic languages.

    But let's dig in a bit on your claim that things like all numbers being doubles or having a array cum map cum record type has very little to do with the optimizations you can make as a compiler/interpreter writer, because it sure seems to me that LuaJIT and V8 do a bunch of optimizations around these things. Both have dual number representations under the hood and will try to avoid representing numbers that remain in the domain of 32 bit integers as double values internally when that gives performance gains. The logic for figuring out if that's the case doesn't seem to be super-straightforward or target architecture independent from looking at the comments in <https://github.com/LuaDist/luajit/blob/master/src/lj_opt_nar...>.

    LuaJIT furthermore uses NaN tagging (as do some JS engines, although not V8), which looks less attractive to me as a representation strategy if your numbers are not all/mostly notional doubles (as is indeed the case in newer version of Lua where 64bit integers are the dominant number type)

    Also, as far as the super-flexible lua tables are concerned, I'm pretty sure LuaJIT goes through some amount of trouble to specialize various common use cases of tables, e.g. as arrays without holes, and surprise, so does V8 (https://v8.dev/blog/fast-properties#elements-or-array-indexe...). I don't think you'd find something equivalent in a high performance scheme implementation.

    > but this doesn't touch the surface of the issues that make JS hard to optimise, such as the fact that your, say, memoisation of an object property or method may be broken by an `eval` call of an arbitrary runtime value somewhere else in the code (which, due to asynchronicity, could take place at more or less any time from the point of view of your given 'peephole').

    Eval belongs to a core set of features that basically all popular dynamic languages share that presents headaches for high performance implementations. How is Javascript's eval particularly problematic in this regard, and specifically much more so than Lua's loadstring/load?

    More generally what do you think makes (pre-ES6) javascript significantly harder to optimize than lua 5.0?

What are some alternatives?

When comparing Lift and luajit you can also consider the following projects:

Play - The Community Maintained High Velocity Web Framework For Java and Scala.

wasmer-python - 🐍🕸 WebAssembly runtime for Python

Scalatra - Tiny Scala high-performance, async web framework, inspired by Sinatra

diode - Scala library for managing immutable application model

youi - Next generation user interface and application development in Scala and Scala.js for web, mobile, and desktop.

htmx - </> htmx - high power tools for HTML

Reactive - A simple FRP library and a web UI framework built on it

mumba - Write web-native p2p distributed apps in Swift (and others)

Colossus - I/O and Microservice library for Scala

reactor - Phoenix LiveView but for Django

Finatra - Fast, testable, Scala services built on TwitterServer and Finagle

django-unicorn - The magical reactive component framework for Django ✨