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InfuseAI
piperider
Python2022–2023
InfuseAI / piperider

piperider

Code review for data in dbt

2Distinct people
3Mentions
0Explicit recommenders
495GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Code review for data in dbt

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, 3:56:07 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 month3 dated mentions

Observed mentions: 2022-06-24 04:02:54 UTC to 2023-09-06 12:15:14 UTC.

0122022-06-01 00:00:00 UTC to 2022-07-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 commentsJun 20222022-07-01 00:00:00 UTC to 2022-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 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): 0 mentions; 0 submissions, 0 comments2022-10-01 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): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2023-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJan 20232023-02-01 00:00:00 UTC to 2023-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-03-01 00:00:00 UTC to 2023-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-04-01 00:00:00 UTC to 2023-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-01 00:00:00 UTC to 2023-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-06-01 00:00:00 UTC to 2023-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-07-01 00:00:00 UTC to 2023-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-08-01 00:00:00 UTC to 2023-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-09-01 00:00:00 UTC to 2023-10-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsSep 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
Jun 20222022-06-01 00:00:00 UTC2022-07-01 00:00:00 UTC211
Jul 20222022-07-01 00:00:00 UTC2022-08-01 00:00:00 UTC000
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 UTC000
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 UTC000
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 UTC000
Mar 20232023-03-01 00:00:00 UTC2023-04-01 00:00:00 UTC000
Apr 20232023-04-01 00:00:00 UTC2023-05-01 00:00:00 UTC000
May 20232023-05-01 00:00:00 UTC2023-06-01 00:00:00 UTC000
Jun 20232023-06-01 00:00:00 UTC2023-07-01 00:00:00 UTC000
Jul 20232023-07-01 00:00:00 UTC2023-08-01 00:00:00 UTC000
Aug 20232023-08-01 00:00:00 UTC2023-09-01 00:00:00 UTC000
Sep 20232023-09-01 00:00:00 UTC2023-10-01 00:00:00 UTC110

What Hacker News says

3 sources
clkao·Sep 6, 2023Submission

Show HN: PipeRider – open-source Data Impact Analysis for dbt changes

Hi HN! This is CL and we’re building PipeRider[0]. PipeRider is an open source data impact analysis tool, specifically during pull requests for dbt. Why? In a previous life I worked on distributed version control systems[1] prior to git, weird data systems like in-postgres REST server with plv8, and building civic tech communities with open data. It always startled me when some new characteristics of data were uncovered, and we had to change some data schema & modeling and then recheck all downstream uses of the data (if we even could). Fast forward to the modern era of data systems, the data engineering stack is certainly becoming more like the software engineering stack, with dbt as of one of the main game changers. But the engineering practices and tooling~~s~~ aren’t quite there, yet. We are building the missing pieces of the “data-pi
Read the rest
peline-as-code” puzzle, by making pull-requests on data systems more informative and bringing confidence to reviewing and testing the impact of code-change. Here’s an example PR of the campaign finance project[2]. The goal is to augment the CI process to help teams move faster when making data and pipeline logic changes, by being aware of intentional and unintentional downstream models and metrics impact. As a version control nerd, I personally love semantic-aware diffs that can help inform stakeholders, such as diff formatted law amendment proposals in congressional bills. So, what can we do for complex data systems that are now pull-request-able? One thing is the "lineage diff" - A way to visualize the data models you are adding or making changes to, and help you to make sense of the impact. Here's another example based on a pull request in the Danish Parliament data[3] dbt project[4] (Note the lineage diff is part of advanced impact analysis which is not open source) You can try out Lineage Diff in this online viewer[5], by uploading two manifests from your dbt project to see the impact on lineage from your code-changes. I’d love your feedback! [0] https://piperider.io/ [1] https://news.ycombinator.com/item?id=32668334 [2] https://github.com/g0v/tw_campaign_finance/pull/2 [3] https://github.com/bgarcevic/danish-democracy-data/pull/8 [4] https://cloud.piperider.io/clkao/default/runs/33a74e0bef5f48... [5] https://cloud.piperider.io/online-viewer (Edit: link formatting)
25 points · Open discussion
I was rush to Show HN, and now I want to tell a bit more. PipeRider, it’s our take on a data reliability and quality tool for data pipelines. It’s based on data profiling and assertions that test against the data profile. It’s open-source and ready to use on Github here: https://github.com/infuseai/piperider Here is a quick start to get you up and running easily: https://docs.piperider.io/quick-start Some new features that are coming VERY soon include recommended assertions that are auto-suggested based on the profile of your data. We’d love your feedback in the comments, or please ping us on Twitter (@infuseai) or discord: http://discord.gg/328QcXnkKD
In Show HN: PipeRider, data reliability automated tool

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