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lballabio
QuantLib
C++2016–2020
lballabio / QuantLib

QuantLib

The QuantLib C++ library

3Distinct people
3Mentions
0Explicit recommenders
7.8KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

The QuantLib C++ library

GitHub

Where it is used

No documented product use has been verified yet.

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 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 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 year3 dated mentions

Observed mentions: 2016-12-18 21:25:08 UTC to 2020-10-28 15:20:27 UTC.

012016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2020

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
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC101
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC101
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101

What Hacker News says

3 sources
I am a quantitative developer working on industrial size projects. Best way to learn personally is to get hired into a team that does serious project in the area you are interested in. If you are not looking to switch jobs, hire few people who have done that into your team, or get them on a contract (going to be crazy expensive but totally worth it). First, basics, start with Joel's 12 rules of better code[1] Next, buy everyone a copy of "Clean Code" book and read it from start to finish. Look at the open source quant code bases, how they are organized and built. I suggest quantlib[4] and opengamma[3]. If you are looking at architecting quant library specifically, read this article by Russell Goyder[2] [1] https://www.joelonsoftware.com/2000/08/09/the-joel-test-12-s... [2] https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2311743 [3] ht
Read the rest
In Ask HN: How’d you go from a noodler to writing large well structured programs?

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