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APL.jl Alternatives
Similar projects and alternatives to APL.jl
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Nim
Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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PDM
A modern Python package and dependency manager supporting the latest PEP standards
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Arraymancer
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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aplette
This is a new take on an old language: APL. The goal is to pare APL down to its elegant essence. This version of APL is oriented toward scripting within a Unix-style computing environment.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better APL.jl alternative or higher similarity.
APL.jl reviews and mentions
Posts with mentions or reviews of APL.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-26.
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The counter-intuitive rise of Python in scientific computing (2020)
2. ipython repl
1. pairs with jaimebuelta's artistic vs engineering dichotomy, but also plays into the scientist wearing many more hats than just programmer. Code can be two or more degrees removed from the published paper -- code isn't the passion. There isn't reason, time, or motivation to think deeply about syntax.
2. For a lot of academic work, the programming language is primarily an interface to an advanced plotting calculator. Or at least that's how I think about the popularity of SPSS and Stata. Ipython and then jupyter made this easy for python.
For what it's worth, the lab I work for is mostly using shell, R, matlab, and tiny bit of python. For numerical analysis, I like R the best. It has a leg up on the interactive interface and feels more flexible than the other two. R also has better stats libraries. But when we need to interact with external services or file formats, python is the place to look (why PyPI beat out CPAN is similar question).
Total aside: Perl's built in regexp syntax is amazing and a thing I reach for often, but regular expressions as a DSL are supported almost everywhere (like using languages other than shell to launch programs and pipes -- totally find but misses all the ergonomics of using the right tool for the job). It'd love to explore APL as an analogous numerical DSL across scripting languages. APL.jl [0] and, less practically april[1], are exciting.
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Symbolic Programming
APL.jl might be of interest to you.
- Try APL
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A note from our sponsor - WorkOS
workos.com | 18 Apr 2024
Stats
Basic APL.jl repo stats
3
62
0.0
almost 2 years ago
shashi/APL.jl is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of APL.jl is Julia.
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