protea VS cinder

Compare protea vs cinder and see what are their differences.

protea

An in-progress programming language inspired by JavaScript. (by nx-lr)

cinder

Cinder is Meta's internal performance-oriented production version of CPython. (by facebookincubator)
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protea cinder
1 43
4 3,387
- 0.9%
4.1 9.4
9 months ago 3 days ago
JavaScript Python
- 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.

protea

Posts with mentions or reviews of protea. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-01.

cinder

Posts with mentions or reviews of cinder. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-08.

What are some alternatives?

When comparing protea and cinder you can also consider the following projects:

pyret-lang - The Pyret language.

faster-cpython - How to make CPython faster.

mcscript - A programming language for Minecraft Vanilla

Pyjion - Pyjion - A JIT for Python based upon CoreCLR

RustScript2 - RustScript is a functional scripting language with as much relation to Rust as Javascript has to Java.

Pyjion

tonic - An elegant language for script-kiddies and terminal squatters.

graalpython - A Python 3 implementation built on GraalVM

aussieplusplus - Programming language from down under

MonkeyType - A Python library that generates static type annotations by collecting runtime types

lockdown - Lockdown is a general-purpose programming language that combines the positive characteristics of both "strongly-typed" and "dynamic" languages, giving the developer the choice about when and how these should be used.

hpy - HPy: a better API for Python