PipeRider, data reliability automated tool
GitHub: https://github.com/InfuseAI/piperider Introduction in depth: https://blog.infuseai.io/data-reliability-automated-with-pip...
PipeRider, data reliability automated tool launched on June 24, 2022 with 14 votes, #930 of 3,005 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 4 years on.
In plain words
PipeRider is a data reliability automation tool designed for developers and data teams. It automates testing and validation of data pipelines to catch issues early in development. The tool integrates with GitHub workflows and helps ensure data quality across analytics and data engineering projects.
written from the facts on this page · September 2026
From the sources
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PipeRider – open-source Data Impact Analysis for dbt changes2023 · github.com · ▲25Hi 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…

Parabola.io – Automate your work with visual programming2018 · parabola.io · ▲291Hi HN! I’m Alex from Parabola (https://parabola.io). Parabola is a visual programming tool for creating functional data flows that everyone can use. It’s entirely drag-and-drop, handles data sizes much larger than a traditional spreadsheet, calculates everything live, and can run your flows on a schedule of your choosing. I used to work in strategy consulting, doing data analytics for SMBs and Fortune 500 companies. The amount of time wasted on menial tasks was astounding. Things like cleaning data, generating custom reports, creating human workflows to solve shortcomings in third…
I built an open-source data pipeline tool in Go2024 · github.com · ▲200Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…


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