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multiprocessio
go-sqlite3-stdlib
Go2022–2023
multiprocessio / go-sqlite3-stdlib

go-sqlite3-stdlib

A standard library for mattn/go-sqlite3 including best-effort date parsing, url parsing, math/string functions, and stats aggregation functions

Data & DatabasesLanguages & CompilersLibraries & SDKs
Explore on GitHubRead Hacker News discussions
3Distinct people
8Mentions
0Explicit recommenders
129GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A standard library for mattn/go-sqlite3 including best-effort date parsing, url parsing, math/string functions, and stats aggregation functions

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

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 7:02:50 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 month8 dated mentions

Observed mentions: 2022-05-26 20:25:19 UTC to 2023-02-28 17:08:41 UTC.

0122022-05-01 00:00:00 UTC to 2022-06-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 commentsMay 20222022-06-01 00:00:00 UTC to 2022-07-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2022-07-01 00:00:00 UTC to 2022-08-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022-08-01 00:00:00 UTC to 2022-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-01 00:00:00 UTC to 2022-10-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsSep 20222022-10-01 00:00:00 UTC to 2022-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-11-01 00:00:00 UTC to 2022-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-12-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-01-01 00:00:00 UTC to 2023-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-02-01 00:00:00 UTC to 2023-03-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsFeb 2023

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
May 20222022-05-01 00:00:00 UTC2022-06-01 00:00:00 UTC211
Jun 20222022-06-01 00:00:00 UTC2022-07-01 00:00:00 UTC202
Jul 20222022-07-01 00:00:00 UTC2022-08-01 00:00:00 UTC101
Aug 20222022-08-01 00:00:00 UTC2022-09-01 00:00:00 UTC000
Sep 20222022-09-01 00:00:00 UTC2022-10-01 00:00:00 UTC101
Oct 20222022-10-01 00:00:00 UTC2022-11-01 00:00:00 UTC000
Nov 20222022-11-01 00:00:00 UTC2022-12-01 00:00:00 UTC000
Dec 20222022-12-01 00:00:00 UTC2023-01-01 00:00:00 UTC101
Jan 20232023-01-01 00:00:00 UTC2023-02-01 00:00:00 UTC000
Feb 20232023-02-01 00:00:00 UTC2023-03-01 00:00:00 UTC101

What Hacker News says

2 sources
eatonphil·Jun 25, 2022
This is a cool project! But if you just want a simple CLI, you can query Excel and ODS files with dsq [0]. It's the same end result without needing to carry plugins around and with support for many additional data formats. Plus a growing standard library of functions that don't come built into SQLite such as best-effort date parsing, URL parsing/extraction, statistical aggregation functions, math functions, string and regex helpers, hashing functions and so on [1]. An annoying thing about this extension-based style of file support is needing to create a new table for every new file if the schema is different. This is a limitation [2] of sqlite unfortunately. dsq doesn't work this way so it doesn't have that limit. On the other hand, if you go this route you can more easily combine with other extensions. That's not really possible with dsq
Read the rest
right now. [0] https://github.com/multiprocessio/dsq [1] https://github.com/multiprocessio/go-sqlite3-stdlib [2] https://sqlite.org/forum/forumpost/ec944414fa
In Xlite: Query Excel and Open Document spreadsheets as SQLite virtual tables
eatonphil·Jun 21, 2022
Hey Kuba! > Especially on the community building aspect, it's really impressive that you've been able to spark so many communities on various platforms (Reddit, GitHub, Discord, etc.)! Yeah it's been so cool to see so many people come together, hobbyists and professionals. > On a more technical note, since dsq is based on the "load it into SQLite and query it from there" architecture, have you considered integrating with the plugin ecosystems of other existing projects based on that same architecture, like Datasette[0]? It seems like a way to add a lot of value to your tools without much work. Interesting idea! I haven't looked into Datasette too much. And I haven't thought about plugins too much either. The most I've done is extend the SQLite standard library [0] and I hope to continue growing that. I'd be curious to hear what specifical
Read the rest
ly people like from Datasette they'd like to see in dsq. > On a more commercial note, overall I think tools like this are very hard to monetize, because right now they're just a fairly niche use case, between - as you mentioned - full blown data analytics platforms and observability query systems, as well as standard unix tools. Especially since if you need the analytics a lot, you'll probably have time to integrate it into your preferred analytics solution (like BigQuery). Do you have any thoughts on that? My idea was always to focus on smaller and less mature organizations, probably ones that have been around for 10+ years. They aren't using BigQuery, they prefer to host everything themselves, and they don't yet realize there are tools like DataStation that they can easily run to make analytics easier. I've worked at a bunch of companies like this so I know the market exists. Actually I have been surprised how many people outside of this market showed up in the DataStation community. I've seen Googlers, MS-ers, modern startups, data science teams show up interested in DataStation compared to what they're already using. For me it's just been a matter of time (and funding) to build out the product to serve these communities commercially as a SaaS or enterprise product. [0] https://github.com/multiprocessio/go-sqlite3-stdlib
In One year as a solo dev building open-source data tools without funding

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