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Array Alternatives
Similar projects and alternatives to array
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Appwrite
Appwrite - The Open Source Firebase alternative introduces iOS support. Appwrite is an open source backend server that helps you build native iOS applications much faster with realtime APIs for authentication, databases, files storage, cloud functions and much more!
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ghost-chase-condition
Chasing a performance-eating ghost down the JVM rabbit hole
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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async-profiler
Sampling CPU and HEAP profiler for Java featuring AsyncGetCallTrace + perf_events [Moved to: https://github.com/async-profiler/async-profiler] (by jvm-profiling-tools)
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kerf1
Kerf (Kerf1) is a columnar tick database and time-series language for Linux/OSX/BSD/iOS/Android. It is written in C and natively speaks JSON and SQL. Kerf can be used for trading platforms, feedhandlers, low-latency networking, high-volume analysis of realtime and historical data, logfile processing, and more.
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Kbd
Alternative unified APL keyboard layouts (AltGr, Backtick, Compositions) (by abrudz)
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SonarQube
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array reviews and mentions
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Ngn/k (free K implementation)
In some of the example programs written in KAP (my APL derivative), I tried to write it in a style that makes people unfamiliar with the array style more comfortable.
This code could of course have been written in a style similar to some of the more extreme examples, and they would have been significantly shorter in that case.
https://github.com/lokedhs/array/blob/master/demo/advent-of-...
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Why would a Java prime sieve run at only half its speed _some_ of the times?
This issue isn't directly related to BitSet. I have observed the same thing in my programming language interpreter that runs on the JVM (well, it's written in Kotlin multiplatform so it runs on JS and Natively as well).
I start the interpreter and measue the time it takes to all all then numbers below 1000000000.
The first time I run it after starting the interpreter it always takes 1.4 seconds (within 0.1 second precision). The second time I measure the time it takes 1.7, and for every invocation following that it takes 2 seconds.
If I stop the interpreter and try again, I get exactly the same result.
I have not been able to explain this behaviour. This is on OpenJDK 11 by the way.
If anyone wants to test this, just run the interpreter from here: https://github.com/lokedhs/array
To run the benchmark, type the following command in the UI:
time:measureTime { +/⍳1000000000 }
- Is APL Dead?
- Symbolic Programming
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Try APL
I'm the opportunity to mention my project that implements a language that is inspired by, and is mostly compatible with APL. It has some major differences, such as being lazy evaluated and providing support for first-class functions.
It also supports defining syntax extensions which is used by the standard library to provide imperative syntax, which means you can mix traditional APL together with your familiar if/else statements, etc.
At this point there isn't much documentation, and the implementation isn't complete, so I'm not actually suggesting that people run out to try it unless they are really interested in APL. I just took this opportunity since APL is mentioned so rarely here.
https://github.com/lokedhs/array
There is an example of a graphical mandelbrot implementation in the demo directory, that may be interesting.
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Why am I wasting time on EndBASIC?
This post mirrors my feeling on this topic as well. Just like the author, I'm also working on a programming language which will not be used by a lot of people.
In fact, having a lot of users would make things complicated as I would have to stop making incompatible changes if I want to try something new.
Designing your own programming language is such a nice hobby, and something I believe a lot of programmers do. In fact, I would like to see links to other people's programming languages, just to see what people are playing around with at the moment.
Here is my project: https://github.com/lokedhs/array
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www.sonarqube.org | 22 Mar 2023
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lokedhs/array is an open source project licensed under MIT License which is an OSI approved license.