#Release
Showing 43 of 43 repositories tagged #release, ranked by stars
:package::rocket: Fully automated version management and package publishing
๐ Automate versioning and package publishing
:trophy: Automate versioning and CHANGELOG generation, with semver.org and conventionalcommits.org
dyrector.io is a self-hosted continuous delivery & deployment platform with version management.
:package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump version.
Publish Rust crates from CI with a Release PR.
:rocket: Release projects quickly and easily with JReleaser
A curated collection of publicly available resources on how companies around the world practice DevOps
GuessIt is a python library that extracts as much information as possible from a video filename.
A GitHub action that builds your release notes / changelog fast, easy and exactly the way you want.
Scorecard Development in python, ่ฏๅๅก
Take control of what is going to be your next release.
Pause your GitHub Actions workflow and request manual approval from set approvers before continuing
Fork of the excellent standard-version. Automate versioning and CHANGELOG generation, with semver.org and conventionalcommits.org :trophy:
:1234: Version your React Native or Expo app in a `npm version` fashion.
Automatically publish Go binaries to Github Release Assets through Github Action.
Release your ruby gems with ease.
What to Read to Learn More About DevOps
Bump updates the project's version, updates/creates the changelog, makes the bump commit, tags the bump commit and makes the release to GitHub. Opinionated but configurable.
:cl::round_pushpin: Setup automated semver compliant package publishing
Armbian operating system rolling releases provides automated nightly builds of maintained targets
Flake for packaging, building and running Zig projects.
๐ A quick and easy way to distribute your Python projects!
ReARM - Release Governance Platform for the Agentic Era
Automatic Expo versioning with Standard Version
Super easy way to publish your Android and Java artifacts to bintray.
Github release analytics for the console
๐ A full E-commerce app with nice UI consists of on-boarding, login, sign-up, home, product details, cart and user profile.
A simple tool that automates generating and updating a changelog
Automate development tasks using Swift.
The canonical promotion layer for Kubernetes. Purpose-built for sovereign fleet GitOps at global scale.
GitHub workflow for automatically generating Luarocks releases from tags and running busted tests
Local-first intelligent delivery assistant โ automated clean, verify, commit, and upload workflows powered by AI
CLI helper to install Github releases on your system.
Helm release for Project Eirini
Tracks a range of Microsoft owned ASNs and publishes a daily release containing a list of IPv4 and IPv6 address in CIDR notation.
A scalabe project template to use a ms svelte frontend in a fiber golang binary
Simple command line tool to make git more intuitive, along with useful GitHub addons.
๐ฆ+๐ฆ=โฅ๏ธ A tool that helps wrap binary releases for easy distribution
semantic-release plugin to publish Helm charts
๐ A practical toolkit for feature engineering and selection in Python. Explore EDA, handle missing data and outliers, scale/encode/transform features, discretize, and select via filter, wrapper, embedded, shuffling, and hybrid methods. Comes with datasets, clean notebooks, reusable utils, and clear visuals for fast, reproducible ML. Workflows.
๐จ K-Means Clustering Customer Segmentation is an interactive Streamlit app that uses machine learning to group customers by income and spending habits. It helps businesses target marketing, personalize offers, and gain insights with easy retraining, visualizations, and modular code.
๐ฉบ Advanced neural network for breast cancer classification using Wisconsin dataset. Analyzes cell nucleus characteristics from FNA samples to distinguish malignant/benign masses with 96.5% accuracy. Features comprehensive documentation, automated setup, testing framework, and deployment guides. Educational ML project with 15,000+ lines of docs.