Cocoa (OS X) vs Lua: What are the differences?
Cocoa (OS X): The Cocoa frameworks consist of libraries, APIs, and runtimes that form the development layer for all of OS X. Much of Cocoa is implemented in Objective-C, an object-oriented language that is compiled to run at incredible speed, yet employs a truly dynamic runtime making it uniquely flexible. Because Objective-C is a superset of C, it is easy to mix C and even C++ into your Cocoa applications; Lua: Powerful, fast, lightweight, embeddable scripting language. Lua combines simple procedural syntax with powerful data description constructs based on associative arrays and extensible semantics. Lua is dynamically typed, runs by interpreting bytecode for a register-based virtual machine, and has automatic memory management with incremental garbage collection, making it ideal for configuration, scripting, and rapid prototyping.
Cocoa (OS X) and Lua are primarily classified as "Frameworks (Full Stack)" and "Languages" tools respectively.
"Great community " is the top reason why over 2 developers like Cocoa (OS X), while over 19 developers mention "Fast learning curve" as the leading cause for choosing Lua.
Lua is an open source tool with 1.26K GitHub stars and 436 GitHub forks. Here's a link to Lua's open source repository on GitHub.
What is Cocoa (OS X)?
What is Lua?
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To handle its growing observability needs, Postmates created and open sourced Cernan, a telemetry and logging aggregation server. Ceran is built on Rust and Lua, and can ingest data from many sources and then push or exposes what it’s collected to many destinations, or “sinks.” It can also create or manipulate in-flight data with programmable Lua filters.
At Kong while building an internal tool, we struggled to route metrics to Prometheus and logs to Logstash without incurring too much latency in our metrics collection.
We replaced nginx with OpenResty on the edge of our tool which allowed us to use the lua-nginx-module to run Lua code that captures metrics and records telemetry data during every request’s log phase. Our code then pushes the metrics to a local aggregator process (written in Go) which in turn exposes them in Prometheus Exposition Format for consumption by Prometheus. This solution reduced the number of components we needed to maintain and is fast thanks to NGINX and LuaJIT.
used lua as gameplay glue while at insomniac. one my favorite wins was integrating table support. it took walking the source code in a debugger to figure it out, still remember being at work at 3am when i got it working finally. (no google back then to make such things simple.)
We use Lua as our primary scripting language for third party developers - it's fast, the runtime can be quite small and fits into everywhere it needs to go - from mobile to web.
Lua is used as the programming language for all extensions and the main business logic.