Skip to content
Codeloom
CI/CD

GitLab CI vs GitHub Actions: Feature Comparison & Migration Guide

A detailed comparison of GitLab CI/CD and GitHub Actions covering syntax, features, runners, and a practical migration guide with side-by-side examples.

·8 min read · By Codeloom
Intermediate 12 min read

What you'll learn

  • How GitLab CI and GitHub Actions differ in architecture and syntax
  • Feature-by-feature comparison of both platforms
  • Translating GitLab CI concepts to GitHub Actions equivalents
  • Migrating a real pipeline from .gitlab-ci.yml to GitHub Actions
  • Strengths and weaknesses of each platform for different team sizes

Prerequisites

  • Basic CI/CD experience with either GitLab CI or GitHub Actions

Choosing between GitLab CI and GitHub Actions is one of the most common CI/CD decisions teams face. Both are mature, powerful platforms, but they take fundamentally different approaches to pipeline design. This guide compares them feature by feature and provides a practical migration path.

Architecture Differences

GitLab CI uses a single .gitlab-ci.yml file at the repository root. Pipelines are composed of stages, and jobs within the same stage run in parallel. The CI/CD system is deeply integrated with GitLab’s issue tracker, container registry, and deployment features.

GitHub Actions uses one or more YAML files in .github/workflows/. Each file is an independent workflow triggered by events. Jobs within a workflow run in parallel by default unless linked with needs. The ecosystem relies heavily on the Actions Marketplace for extensibility.

Syntax Comparison

Basic Pipeline

GitLab CI:

# .gitlab-ci.yml
stages:
  - build
  - test
  - deploy

variables:
  NODE_VERSION: "22"

build:
  stage: build
  image: node:${NODE_VERSION}
  script:
    - npm ci
    - npm run build
  artifacts:
    paths:
      - dist/
    expire_in: 1 hour

test:
  stage: test
  image: node:${NODE_VERSION}
  needs: [build]
  script:
    - npm ci
    - npm test
  coverage: '/All files\s*\|\s*([\d.]+)/'

deploy:
  stage: deploy
  image: alpine
  needs: [test]
  script:
    - apk add --no-cache aws-cli
    - aws s3 sync dist/ s3://my-bucket/
  environment:
    name: production
    url: https://myapp.example.com
  only:
    - main

GitHub Actions equivalent:

# .github/workflows/ci.yml
name: CI/CD

on:
  push:
    branches: [main]
  pull_request:

env:
  NODE_VERSION: '22'

jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: ${{ env.NODE_VERSION }}
          cache: 'npm'
      - run: npm ci
      - run: npm run build
      - uses: actions/upload-artifact@v4
        with:
          name: build-output
          path: dist/
          retention-days: 1

  test:
    needs: build
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: ${{ env.NODE_VERSION }}
          cache: 'npm'
      - run: npm ci
      - run: npm test

  deploy:
    needs: test
    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest
    environment:
      name: production
      url: https://myapp.example.com
    steps:
      - uses: actions/download-artifact@v4
        with:
          name: build-output
          path: dist/
      - uses: aws-actions/configure-aws-credentials@v4
        with:
          role-to-assume: ${{ secrets.AWS_ROLE_ARN }}
          aws-region: us-east-1
      - run: aws s3 sync dist/ s3://my-bucket/

Key Syntax Differences

ConceptGitLab CIGitHub Actions
Config file.gitlab-ci.yml (single).github/workflows/*.yml (multiple)
Execution unitStage with parallel jobsJob with sequential steps
Containerimage: per jobcontainer: or setup actions
ArtifactsBuilt-in artifacts: keywordactions/upload-artifact
Cachingcache: keywordactions/cache or setup action cache option
Variablesvariables: blockenv: block or ${{ vars.NAME }}
SecretsCI/CD variables (masked)Repository/environment secrets
Conditionsonly/except or rules:if: conditions
Servicesservices: keywordservices: under job

Feature Comparison

Container Registry

GitLab includes a built-in container registry per project. Push images directly:

# GitLab CI
build-image:
  image: docker:24
  services:
    - docker:24-dind
  script:
    - docker login -u $CI_REGISTRY_USER -p $CI_REGISTRY_PASSWORD $CI_REGISTRY
    - docker build -t $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA .
    - docker push $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA

GitHub uses GitHub Container Registry (ghcr.io), which requires explicit login:

# GitHub Actions
build-image:
  runs-on: ubuntu-latest
  permissions:
    packages: write
  steps:
    - uses: actions/checkout@v4
    - uses: docker/login-action@v3
      with:
        registry: ghcr.io
        username: ${{ github.actor }}
        password: ${{ secrets.GITHUB_TOKEN }}
    - uses: docker/build-push-action@v6
      with:
        push: true
        tags: ghcr.io/${{ github.repository }}:${{ github.sha }}

Environments and Approvals

GitLab environments are first-class with built-in review apps and deployment tracking:

# GitLab CI
deploy-staging:
  environment:
    name: staging
    url: https://staging.example.com
    on_stop: stop-staging
    auto_stop_in: 1 week

deploy-production:
  environment:
    name: production
  when: manual  # Manual approval gate

GitHub environments support protection rules configured in repository settings:

# GitHub Actions
deploy-production:
  environment:
    name: production
    url: https://myapp.example.com
  # Protection rules (reviewers, wait timer) are configured in repo settings

Dynamic Pipelines

GitLab has a unique trigger keyword for child pipelines and dynamic pipeline generation:

# GitLab CI - generate a pipeline dynamically
generate-config:
  stage: build
  script:
    - python generate-pipeline.py > generated.yml
  artifacts:
    paths:
      - generated.yml

run-generated:
  stage: test
  trigger:
    include:
      - artifact: generated.yml
        job: generate-config

GitHub Actions achieves similar results with dynamic matrices and reusable workflows, but lacks native child pipeline support.

Includes and Templates

GitLab CI supports include for shared configuration:

# .gitlab-ci.yml
include:
  - project: 'devops/ci-templates'
    ref: v2.0.0
    file: '/templates/node-ci.yml'
  - template: Security/SAST.gitlab-ci.yml
  - local: '/.gitlab/deploy.yml'

GitHub Actions uses reusable workflows and composite actions for the same purpose, but the mechanism is different. Reusable workflows are called as jobs, not merged into the YAML.

Built-in Security Scanning

GitLab Ultimate includes SAST, DAST, dependency scanning, container scanning, and license compliance out of the box:

include:
  - template: Security/SAST.gitlab-ci.yml
  - template: Security/Dependency-Scanning.gitlab-ci.yml
  - template: Security/Container-Scanning.gitlab-ci.yml

GitHub requires third-party actions or GitHub Advanced Security (CodeQL, Dependabot, secret scanning). The tools are excellent but require more configuration.

Migration Guide: GitLab CI to GitHub Actions

Step 1: Map Stages to Jobs with Dependencies

GitLab stages define ordering. GitHub uses needs:

# GitLab
stages: [lint, test, build, deploy]

lint:
  stage: lint
  script: npm run lint

unit-test:
  stage: test
  script: npm test

build:
  stage: build
  script: npm run build

# GitHub equivalent
jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: npm ci && npm run lint

  unit-test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: npm ci && npm test

  build:
    needs: [lint, unit-test]
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: npm ci && npm run build

Step 2: Convert Variables and Secrets

# GitLab CI variables
variables:
  NODE_ENV: production
  # Secrets stored in Settings > CI/CD > Variables (masked)
  API_KEY: $API_KEY

# GitHub Actions
env:
  NODE_ENV: production
  # Secrets stored in Settings > Secrets and variables
  # Referenced as ${{ secrets.API_KEY }}

Step 3: Convert Cache Configuration

# GitLab CI
cache:
  key:
    files:
      - package-lock.json
  paths:
    - node_modules/

# GitHub Actions
- uses: actions/cache@v4
  with:
    path: node_modules
    key: node-${{ runner.os }}-${{ hashFiles('package-lock.json') }}

Step 4: Convert Artifacts

# GitLab CI
artifacts:
  paths:
    - dist/
  expire_in: 1 day
  reports:
    junit: test-results.xml

# GitHub Actions
- uses: actions/upload-artifact@v4
  with:
    name: build
    path: dist/
    retention-days: 1
# JUnit reporting requires a separate action
- uses: dorny/test-reporter@v1
  with:
    name: Tests
    path: test-results.xml
    reporter: jest-junit

Step 5: Convert Rules and Conditions

# GitLab CI
deploy:
  rules:
    - if: $CI_COMMIT_BRANCH == "main"
      when: always
    - if: $CI_MERGE_REQUEST_ID
      when: never

# GitHub Actions
deploy:
  if: github.ref == 'refs/heads/main' && github.event_name == 'push'

Strengths and Weaknesses

GitLab CI Strengths

  • All-in-one platform. Issue tracking, CI/CD, container registry, and security scanning in one product.
  • include and templates. Easier to share pipeline fragments.
  • Built-in security scanning on Ultimate tier.
  • Review apps with automatic environment creation and cleanup.
  • DAG pipelines with the needs keyword for fine-grained job dependencies.

GitLab CI Weaknesses

  • Single file gets unwieldy. Large .gitlab-ci.yml files become hard to maintain even with includes.
  • Runner management. Self-hosted runners require more setup than GitHub-hosted runners.
  • Marketplace is smaller. Fewer pre-built integrations compared to GitHub Actions.

GitHub Actions Strengths

  • Massive marketplace. 20,000+ community actions for nearly every tool and service.
  • Multiple workflow files. Separate concerns into different YAML files that trigger independently.
  • Reusable workflows and composite actions. Flexible reuse patterns.
  • GitHub-hosted runners with generous free tier and wide OS/architecture support.
  • Deep GitHub integration. Pull request checks, deployments, and environments work seamlessly.

GitHub Actions Weaknesses

  • No native include mechanism. Cannot merge YAML fragments; must use reusable workflows instead.
  • Artifact sharing between jobs requires explicit upload/download steps.
  • No built-in container registry (ghcr.io is a separate product).
  • Security scanning requires Advanced Security license or third-party actions.

Which Should You Choose?

Choose GitLab CI if your team uses GitLab for source control and issue tracking, needs built-in security scanning, or wants an integrated DevOps platform without assembling multiple tools.

Choose GitHub Actions if your code lives on GitHub, you want access to the largest action ecosystem, or you prefer splitting pipelines into multiple independent workflow files.

Both platforms are production-ready and capable of handling complex CI/CD requirements. The best choice usually depends on where your source code already lives.

Summary

GitLab CI and GitHub Actions achieve the same goals with different architectures. GitLab uses stages and a single configuration file with powerful include mechanisms. GitHub uses event-driven workflows with a marketplace ecosystem. Migration between them is straightforward once you map the concepts: stages become needs dependencies, variables become env and secrets, artifacts become upload/download actions, and rules become if conditions. Choose based on your existing platform, team size, and whether you value an integrated platform or a composable ecosystem.