A flexible server middleware for any web application. It allows you to serve static files, proxy requests to local websites or Docker containers, and enforce basic authentication with ease. Additionally, it provides structured logs for better observability and troubleshooting.
alloy
app-monitoring
authentication
authorization
bearer
developer-tools
devops
docker
forms
grafana
load-balancing
log-management
log-parsing
logging
loki
nextjs
observability
promtail
reverse-proxy
structured-logging
Updated 2026-09-25 12:09:21 -04:00
Automate your changelog generation with ease! Retrieves the commit history between two tags for Gitea, Forgejo, or GitHub, and formats it into a Conventional Commits-style changelog. Customize the output to fit your project's needs, and keep your CHANGELOG up-to-date without the hassle.
actions
ai
binary
conventional-changelog
conventional-commits
docker
forgejo-actions
github-actions
golang
release-automation
Updated 2026-09-21 04:59:52 -04:00
High-performance content delivery for automatic image and video optimization, accelerating load times and lowering resource use.
avif
caching
cdn
content-delivery
ffmpeg
golang
high-performance
hls
image-optimization
lightweight-cdn
load-time-reduction
media-delivery
media-optimization
performance
redis
streaming
thumbnail-generation
video-optimization
webp
Updated 2026-09-20 18:32:37 -04:00
Client & Server implementation for local DNS discovery
Updated 2026-09-20 18:31:10 -04:00
Cyberpower UPS Linux daemon (pwrstat) exporter for prometheus
Updated 2026-09-20 18:27:24 -04:00
A Go-based project that uses TensorFlow to classify images based on NSFW attributes for safe integration into websites and upload workflows.
Updated 2026-09-01 11:31:14 -04:00
Orchestrate your favorite download tools in one place
Updated 2026-08-24 19:31:37 -04:00
Continuously monitors network devices and instantly wakes them up using Wake-On-Lan when they shut down or become unreachable.
Updated 2026-02-25 20:44:18 -05:00
Classify images with confidence using TensorFlow and Express.js. This TypeScript project integrates a custom-trained machine learning model to detect NSFW attributes (e.g., explicit content) in uploaded images. Ensure safe image integration into your website or application by automating the classification process.
Updated 2026-02-17 00:05:08 -05:00