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# Community Engagement | ||
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Anomalib has recently been gaining traction in the developer community. It has recently been the subject of several hackathons, events, and challenges, showcasing its adaptability and impact in real-world scenarios. | ||
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## {octicon}`megaphone` Events | ||
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:::{dropdown} Keynote - Visual Anomaly Detection Workshop, CVPR24 | ||
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- **Date:** June 2024 | ||
- **Location:** Seattle, Washington, USA | ||
- **Details:** A keynote showcasing anomalib at the Anomaly Detection workshop at CVPR. Link to the [event](https://sites.google.com/view/vand-2-0-cvpr-2024/home). | ||
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:::{dropdown} Keynote - Anomaly Detection Workshop, NVPHBV | ||
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- **Date:** November 2023 | ||
- **Location:** Amsterdam, Netherlands | ||
- **Details:** A keynote showcasing anomalib at the Anomaly Detection workshop at NVPHBV. The workshop was organized by the Dutch Society for Pattern Recognition (NVPHBV). Link to the [event](https://nvphbv.nl/event/fall-meeting-2023-anomaly-detection-229/). | ||
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:::{dropdown} Talk - AI Grunn Tech Event | ||
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- **Date:** November 2023 | ||
- **Location:** Groningen, Netherlands | ||
- **Details:** A talk showcasing anomalib at the tech event. Link to the [event](https://aigrunn.org/sessions/anomalib-an-open-source-deep-learning-library-for-anomaly-detection/). | ||
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## {octicon}`graph` Challenges | ||
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:::{dropdown} Chips Challenge on Hackster.io | ||
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- **Date:** December 2023 | ||
- **Overview:** A coding marathon where participants created innovative solutions using Anomalib and OpenVINO. | ||
- **Outcome:** Help Chip find all the bad produce at his farm-to-table business using anomaly detection by sharing your knowledge, running a Jupyter notebook or creating an app with OpenVINO. | ||
- **Details:** [Chips Challenge](https://events.hackster.io/chips-challenge) | ||
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# Awards and Recognition | ||
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Anomalib is committed to excellence and innovation in open-source software development. Over the years, our efforts have been recognized by various prestigious organizations and communities. This page highlights the awards and recognitions we have received, reflecting our dedication to our goals and mission. | ||
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## 2024 | ||
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:::{dropdown} {octicon}`star-fill;1em` Passing Badge - OpenSSF Best Practices | ||
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[![OpenSSF Best Practices](https://www.bestpractices.dev/projects/8330/badge)](https://www.bestpractices.dev/projects/8330) | ||
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- **Date:** January 25, 2024 | ||
- **Details:** Anomalib recived the passing grade for the [Open Source Initiative Best Practices Badge](https://opensource.org/best-practices-badge). This badge recognizes our commitment to high-quality coding standards and community engagement. | ||
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[Learn more about this award](https://opensource.org/best-practices-badge) | ||
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## 2023 | ||
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:::{dropdown} {octicon}`star-fill;1em` Anomalib as a Pytorch EcoSystem Project | ||
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[![Pytorch Ecosystem](https://img.shields.io/badge/Pytorch-Ecosystem-blue)](https://pytorch.org/ecosystem/) | ||
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- **Date:** December 15, 2023 | ||
- **Details:** Anomalib has been accepted as a [Pytorch Ecosystem Project](https://pytorch.org/ecosystem/). This recognition highlights our commitment to the Pytorch community and our efforts to make anomaly detection accessible to everyone. | ||
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## Acknowledgements | ||
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We extend our heartfelt thanks to our contributors, users, and the community who have supported us throughout our journey. These recognitions belong not only to the core team but to everyone who has been a part of this project. | ||
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_Last Updated: 29-Jan-24_ |