Top 3 Go Heic Projects
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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imagemeta
Image Metadata (Exif and XMP) extraction for JPEG, HEIC, AVIF, TIFF and Camera Raw in golang. Focus is on providing features and improved performance.
We chose to use govips which is a cgo wrapper around the libvips image manipulation library. The majority of new development for services in our backend is written using baseplate.go. But Go is not an ideal choice for media processing as it cannot keep up with the performance of native code. The most widely used image-processing libraries like libmagick are primarily written in C or C++. Speed was a major factor in selecting libvips in order to keep latency low on CDN cache misses for images. In our tests, libvips was 3–4 times faster than libmagick on basic image processing operations. Content-aware smart cropping was implemented by porting smartcrop.js to Go. This is the only operation implemented in pure Go.
Index
What are some of the best open-source Heic projects in Go? This list will help you:
Project | Stars | |
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1 | govips | 1,140 |
2 | goheif | 158 |
3 | imagemeta | 113 |
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