Project
Reverse Dependencies for ruby-vips
The projects listed here declare ruby-vips as a runtime or development dependency
0.0
A Ruby-native interface for fine-tuning machine learning models, starting with image classification using SigLIP2
2021
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0.0
foggy-mirror takes a raster image and outputs a blurred version of it using SVG or CSS
2021
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0.0
A mapping library to stitch geographic map images based on map tiles
provided by a rastered tile server.
2021
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0.0
IIIF image derivative generation helpers for Vips
2021
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0.0
A Rails engine for managing and publishing content with a flexible schema.
2021
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0.0
A simple and fast Jekyll plugin to generate favicons from a single source image.
2021
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0.0
Optimizes images for Jekyll
2021
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0.0
This Jekyll plugin autogenerates image thumbnails using the vips library
2021
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0.0
LaserBlob provides a Blob model with SHA1-based deduplication, polymorphic attachments, and support for multiple storage backends (filesystem, S3). Includes automatic metadata extraction for images, videos, and PDFs.
2021
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0.0
A Rails engine to manage application users on Lato projects!
2021
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0.0
Lithop converts JPEG, PNG, and SVG images locally into STL and multipart CMYW 3MF models for backlit lithophane printing.
2021
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2026
0.0
Compute CSS sizing/alignment styles for SVG and raster logos with consistent perceived rendering.
2021
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Loomy is a high-performance, declarative Ruby DSL for image composition and manipulation.
2021
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0.0
A multi-tenant OpenID Connect and OAuth 2.0 provider with a signing key per tenant, SAML, SCIM, passkeys, and a management API. Mount it at the root of an app of its own, or inside an existing Rails app.
2021
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0.0
Middleman plugin for automatic img tags with proper srcset attributes. You can configure any number of image size sets for different use cases (i.e. different image sizes for teasers, portrait and landscape images). Scaled images are generated using libvips.
2021
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0.0
Apply simple edits to images
2021
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긴 상세 이미지를 단색/그라데이션 배경 영역을 기준으로 자동 분할합니다.
2021
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0.0
natour provides an application and a library to document nature activities.
2021
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Extract dominant colors from images using adaptive K-means in Oklab space
2021
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0.0
Ruby implementation of pHash library, uses VIPS for image processing
2021
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2026