darkroom alternatives and similar packages
Based on the "Images" category.
Alternatively, view darkroom alternatives based on common mentions on social networks and blogs.
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gocv
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib. -
pigo
Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go. -
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fastimage
Finds the type and/or size of a remote image given its uri, by fetching as little as needed. -
LookUp
:mag: Pure Go implementation of fast image search and simple OCR, focused on reading info from screenshots -
webp-server
Simple and minimal image server capable of storing, resizing, converting and caching images.
WorkOS - The modern identity platform for B2B SaaS
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README
Darkroom - Yet Another Image Proxy
Introduction
Darkroom combines the [storage backend](pkg/storage) and the [image processor](pkg/processor) and acts as an Image Proxy on your image source.
You may implement your own Storage and Processor interfaces to gain custom functionality while still keeping other Darkroom Server functionality.
The native implementations focus on speed and resiliency.
Features
Darkroom supports several image operations which are documented here.
Installation
go get -u github.com/gojek/darkroom
Other ways to run can be found here.
Metrics Support
Darkroom supports Prometheus and StatsD for tracking and monitoring metrics.
You need to specify the metrics system by adding an environment variable, METRICS_SYSTEM=prometheus/statsd
Prometheus
The application exposes the metrics at "http:///metrics" endpoint. Since it's a pull based system, Prometheus server that is set up from docker-compose scrapes metrics from the application endpoint and its configuration can be changed in prometheus.yml.
StatsD
In order to use StatsD as your metrics system, you also need to add the following env variables,
METRICS_STATSD_STATSDADDR=hostname:port
METRICS_STATSD_PREFIX=client-prefix
METRICS_STATSD_SAMPLERATE=sample-rate
METRICS_STATSD_FLUSHBYTES=flushbytes
These are used to set up the StatsD client.
Grafana
Darkroom currently supports grafana provisioning for Prometheus based metrics.
Grafana is preconfigured with dashboards and Prometheus as the default data source:
- Name: Prometheus
- Type: Prometheus
- Url: http://prometheus:9090
- Access: proxy
Visualization of Darkroom metrics(prometheus) on Grafana:
Contributing Guide
Read our [contributing guide](./CONTRIBUTING.md) to learn about our development process, how to propose bugfixes and improvements, and how to build and test your changes to Darkroom.
License
Darkroom is [MIT licensed](./LICENSE).
*Note that all licence references and agreements mentioned in the darkroom README section above
are relevant to that project's source code only.