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snowplow
snowplow-javascript-tracker
TypeScript2015–2023
snowplow / snowplow-javascript-tracker

snowplow-javascript-tracker

Snowplow event tracker for client-side and server-side JavaScript. Add analytics to your websites, web apps and servers.

6Distinct people
8Mentions
0Explicit recommenders
593GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Snowplow event tracker for client-side and server-side JavaScript. Add analytics to your websites, web apps and servers.

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, 6:01:08 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 year8 dated mentions

Observed mentions: 2015-05-19 22:19:33 UTC to 2023-07-04 10:10:42 UTC.

012342015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20152016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 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 comments2023

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
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC101
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC404
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC202
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
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

What Hacker News says

4 sources
Snowplow[1] is an alternative to this. While they have a managed solution, their backend is open source and can be self-hosted. And they have a forked version of the Piwik client side library designed ot work with Snowplow[2]. Snowplow is a bit more generalized than just Piwik, and it shows in Piwik having a more robust featureset for website analytics specific. But Snowplow has a lot more usefulness if you're having to merge a bunch of data sources together to get a picture of what's happening. [1] https://snowplowanalytics.com/ [2] https://github.com/snowplow/snowplow-javascript-tracker
In Microsoft Clarity – a product to visualize user interactions
The event producer in this case is one of our Snowplow trackers (https://github.com/snowplow/snowplow-javascript-tracker) - and these tracking SDKs do indeed attach a UUID as a unique event ID at event creation time. However, this event ID is not enough to identify and then dedupe all types of duplicate events. This blog post provides more information: https://snowplowanalytics.com/blog/2015/08/19/dealing-with-d... Big thanks to pragmacoders for putting this tutorial together! It's awesome seeing what you are doing with the Snowplow platform :-)
In Analytics data integrity is tough

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