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chore: Adding trending badge to README (#5417)
Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
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β€ŽREADME.mdβ€Ž

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[![License](https://img.shields.io/badge/License-Apache%202.0-blue)](https://github.com/feast-dev/feast/blob/master/LICENSE)
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[![GitHub Release](https://img.shields.io/github/v/release/feast-dev/feast.svg?style=flat&sort=semver&color=blue)](https://github.com/feast-dev/feast/releases)
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## Join us on Slack!
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πŸ‘‹πŸ‘‹πŸ‘‹ [Come say hi on Slack!](https://communityinviter.com/apps/feastopensource/feast-the-open-source-feature-store)
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[Check out our DeepWiki!](https://deepwiki.com/feast-dev/feast)
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## Overview
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<a href="https://trendshift.io/repositories/8046" target="_blank"><img src="https://trendshift.io/api/badge/repositories/8046" alt="feast-dev%2Ffeast | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
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Feast (**Fea**ture **St**ore) is an open source feature store for machine learning. Feast is the fastest path to manage existing infrastructure to productionize analytic data for model training and online inference.
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β€Žinfra/templates/README.md.jinja2β€Ž

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[![License](https://img.shields.io/badge/License-Apache%202.0-blue)](https://github.com/feast-dev/feast/blob/master/LICENSE)
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[![GitHub Release](https://img.shields.io/github/v/release/feast-dev/feast.svg?style=flat&sort=semver&color=blue)](https://github.com/feast-dev/feast/releases)
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## Join us on Slack!
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πŸ‘‹πŸ‘‹πŸ‘‹ [Come say hi on Slack!](https://communityinviter.com/apps/feastopensource/feast-the-open-source-feature-store)
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[Check out our DeepWiki!](https://deepwiki.com/feast-dev/feast)
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## Overview
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<a href="https://trendshift.io/repositories/8046" target="_blank"><img src="https://trendshift.io/api/badge/repositories/8046" alt="feast-dev%2Ffeast | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
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Feast (**Fea**ture **St**ore) is an open source feature store for machine learning. Feast is the fastest path to manage existing infrastructure to productionize analytic data for model training and online inference.
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