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## Introduction
**DataHub is an open-source metadata platform** that enables data discovery, observability, and governance across your entire data stack. Built by LinkedIn and proven at scale (100,000+ datasets), DataHub provides a unified catalog where teams can find, understand, and trust their data.
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do we really need to mention the count of datasets ?
if mentioning, then I would suggest the count should be 1M+

- [datahub-project/datahub](https://github.com/datahub-project/datahub): This repository contains the complete source code for DataHub's metadata model, metadata services, integration connectors and the web application.
- [acryldata/datahub-actions](https://github.com/acryldata/datahub-actions): DataHub Actions is a framework for responding to changes to your DataHub Metadata Graph in real time.
- [acryldata/datahub-helm](https://github.com/acryldata/datahub-helm): Helm charts for deploying DataHub on a Kubernetes cluster
- [acryldata/meta-world](https://github.com/acryldata/meta-world): A repository to store recipes, custom sources, transformations and other things to make your DataHub experience magical.
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@deepgarg760 deepgarg760 Oct 30, 2025

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I would suggest to add repo https://github.com/acryldata/cs-acryl-example-scripts(also source for RunLLM) and remove meta-world. don't think so if meta-world being used my community

also not sure about repo dbt-impact-action

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3 participants