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dw
csvmonkey
C++2017–2020
dw / csvmonkey

csvmonkey

Header-only vectorized, lazy-decoding, zero-copy CSV file parser

3Distinct people
6Mentions
1Explicit recommenders
102GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Header-only vectorized, lazy-decoding, zero-copy CSV file parser

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

As much as I love SQLite, and while it is open source, it is a single implementation that AFAIK has no published open specification. The only way to read an SQLite file is…

_wmd used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

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, 1:03:20 AM 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 year6 dated mentions

Observed mentions: 2017-06-12 17:46:52 UTC to 2020-10-10 13:18:24 UTC.

01232017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 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
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 UTC303
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC101
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101

What Hacker News says

1 sources
I can't speak for this project, but my own for CSV files ( https://github.com/dw/csvmonkey ) provides a high level interface that allows the tokenized data to be manipulated in-place without full decoding. The interface exported in Python is that of a plain old dictionary with one added magical semantic (lazy decode on element access). The internal representation of the parse result is a simple fixed array of (ptr, size) pairs Methods like this are used for batch search / summation where only a fraction of the parsed data is actually relevant during any particular run. You'll find similar approaches used in e.g. the row format parser of a database like MongoDB or Postgres
In Simdjson – Parsing Gigabytes of JSON per Second

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