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danlm
QNial7
C2017–2025
danlm / QNial7

QNial7

The NIAL language environment

Explore on GitHubRead Hacker News discussions
13Distinct people
20Mentions
0Explicit recommenders
116GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

The NIAL language environment

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 6:36:16 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year20 dated mentions

Observed mentions: 2017-07-27 03:12:15 UTC to 2025-02-10 15:46:25 UTC.

0123452017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 5 mentions; 3 submissions, 2 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 5 mentions; 0 submissions, 5 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC532
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC303
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC505
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC404
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC110
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101

What Hacker News says

5 sources
gibbonsja·Jul 27, 2017Submission

QNial7 Array Language Announcement

Q'Nial, the language interpreter developed at Queen's University for the Nested Interactive Array Language, Nial is now available in a revised version that supports both 32-bit and 64-bit architectures. The open source code can be used to build versions for both Unix and Windows operating system. Nial is a very high level, general purpose, language based on a formal model of Array theory, developed by Michael Jenkins and Trenchard More, that influenced the development of APL2. Q'Nial is a C based interpreter with efficient, tuned, implementations of basic array operations. As such it supports computations of large data sets that can be numeric or symbolic data. The programming style is highly functional but can be used in an interactive way to experiment on data and build functions incrementally. It combines concepts from APL, Lisp and f
Read the rest
unctional programming and supports Algol-like control structures. The implementation is competitive with other array languages such as J and APL as well as other interpreted languages with array libraries (Python/Numpy, Lua/Torch). Nial has been used for rapid prototyping in areas as diverse as insurance underwriting, question/answering systems, composing music in a specific style, and a variety of artificial intelligence applications. The repository is located at: http://www.github.com/danlm/QNial7 This repository includes binaries for OSX, Linux, Windows, and Raspbian that can be downloaded and used directly. Coordinator: Daniel Martin Contributors: Mike Jenkins John Gibbons Stu Smith
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