
Both platforms host Git repositories well. That part of the comparison ended years ago, and nobody switches for it.
What you are actually choosing between is a philosophy. GitLab wants to be the whole toolchain. GitHub wants to be the center of one.
- GitLab bundles CI/CD, security scanning, and AI features into its paid tiers. Fewer tools, fewer integrations to maintain.
- GitHub treats those as separate products and add-ons, backed by a much larger marketplace.
- Self-hosting favors GitLab. Its core is open source under MIT, and self-managed instances run free.
- Open source gravity favors GitHub. It is where public contributors already have accounts.
- Migration cost is real in both directions. Repositories move easily. Pipelines and automation do not.
What You Are Actually Comparing
The names invite a feature-by-feature comparison, which is the least useful way to approach this.
GitLab sells a single application covering planning, source control, CI/CD, security scanning, package registries, and deployment. The pitch is that one integrated tool beats six connected ones. The tiers are Free, Premium, and Ultimate, and moving up a tier unlocks capability rather than adding a separate product.
GitHub sells the most widely used code host on the internet, plus a set of products around it. Actions handles CI/CD. Copilot handles AI. Code Security and Secret Protection handle security scanning.
Those are separate line items, and several are add-ons available to GitHub Team and above.
That structural difference drives almost everything below.
GitLab vs GitHub at a Glance
| GitLab | GitHub | |
|---|---|---|
| Positioning | One integrated platform | Code host plus a product ecosystem |
| Paid tiers | Free, Premium, Ultimate | Free, Pro, Team, Enterprise |
| CI/CD | GitLab CI/CD, built into the platform | GitHub Actions |
| Free CI allowance | 400 compute minutes per month | 2,000 Actions minutes per month |
| Higher-tier CI allowance | Larger quotas on Premium and Ultimate | 3,000 on Team, 50,000 on Enterprise Cloud |
| Security scanning | Available across tiers, Advanced SAST on Ultimate | Code Security and Secret Protection as add-ons |
| AI features | Duo Core included with Premium and Ultimate | Copilot sold as separate plans |
| Self-hosting | Self-managed, core is MIT licensed | GitHub Enterprise Server appliance |
| Single-tenant SaaS | GitLab Dedicated | Enterprise Cloud with data residency |
| Marketplace | Smaller | Substantially larger |
| Best fit | Teams wanting one platform and tight defaults | Teams wanting reach, integrations, and choice |
CI/CD Is Where Teams Actually Decide
Both platforms run pipelines from a YAML file in your repository. GitLab reads .gitlab-ci.yml. GitHub reads workflow files under .github/workflows. The daily experience is more different than that similarity suggests.
GitLab CI/CD arrived as part of the platform and behaves like it. Pipeline configuration, container registry, environments, and deployment all sit in one product with one permission model. Teams that adopt it tend to describe it as coherent rather than clever.
GitHub Actions took the opposite route. Its strength is the marketplace. Nearly any third-party service you need has a maintained action, so a workflow is often a short list of uses: steps rather than shell scripts you own. That reach is genuinely hard to match.
The trade-off is dependency surface. Every marketplace action is code from someone else running with access to your pipeline. Pinning actions to a commit SHA rather than a tag is standard advice for a reason. GitLab pushes you toward writing the step yourself, which is more work and fewer unknowns.
Free-tier compute differs enough to matter for small teams. GitLab's Free tier includes 400 compute minutes per month, and GitLab counts minutes against a namespace using a cost factor that varies by runner size. GitHub Free includes 2,000 Actions minutes per month, Team includes 3,000, and Enterprise Cloud includes 50,000.
Public repositories get free minutes on both. Either way, self-hosted runners remove the quota question entirely, and most teams past a certain size end up there.
Security Scanning Is Priced Very Differently
This is the clearest commercial split between the two, and it catches teams by surprise at renewal.
GitLab includes application security testing across Free, Premium, and Ultimate, using analyzers built on open source scanners. Ultimate adds GitLab Advanced SAST, which GitLab describes as more accurate for supported languages, and merges its own advisory database into vulnerability results. Lower tiers use the open source edition of that advisory database.
GitHub takes the add-on route. Code Security and Secret Protection are GitHub Advanced Security products, purchasable for GitHub Team and above. The capability is strong. It is also a separate line on the invoice, priced per contributor or committer depending on the product.
If security scanning is a requirement rather than a nice-to-have, price both platforms with it included before you compare anything else. The ranking often flips at that point.
AI Features Follow the Same Pattern
GitLab bundles. GitHub unbundles.
GitLab Duo Core comes with Premium and Ultimate subscriptions on GitLab 18.0 and later, and includes Code Suggestions. From GitLab 19.0, it also includes Duo Agentic Chat. Broader Duo capability sits in paid add-ons above that.
One upgrade detail catches people. Existing customers who subscribed before mid-May 2025 have to turn Duo Core on after upgrading. New customers get it on by default.
GitHub Copilot is its own product line with its own plans, from a limited free tier through paid individual plans and Copilot Business and Enterprise for organizations. Paid plans allocate monthly credits and differ in which models they reach.
Both approaches have a defensible logic. GitLab's bundling means your AI features and your platform stay on one contract. GitHub's separation means you can buy Copilot for a team that hosts code elsewhere, and skip it entirely for a team that does not want it.
Self-Hosting and Data Control
If you have to run the platform yourself, this section probably decides the whole question.
GitLab's open core is published under an MIT license, with the remainder source-available. You can install and run GitLab Community Edition on your own servers, in a container, or on a cloud provider, free of charge, including inside a commercial business. For regulated organizations that want single-tenant SaaS instead, GitLab Dedicated runs on dedicated infrastructure.
GitHub's self-hosted answer is GitHub Enterprise Server, a self-contained virtual appliance you run on your own hypervisors or in a cloud account. It gives you infrastructure control, and it makes you responsible for hotpatches and upgrades. GitHub's documentation is candid that Enterprise Cloud with data residency avoids scheduled maintenance downtime and reaches new features sooner, including Copilot.
The practical summary: GitLab's self-hosted path starts free and stays fully supported. GitHub's self-hosted path is an enterprise product, and you accept a lag behind GitHub.com.
Community Gravity Still Favors GitHub
For anything public, GitHub's network effect is the deciding factor and no feature comparison overturns it.
Your contributors already have GitHub accounts. Your issues get found. Package registries, CI providers, code review tools, and security scanners all treat GitHub integration as the default and everything else as secondary. Publishing an open source library anywhere else adds friction for every potential contributor.
For private work, that advantage mostly evaporates. Nobody outside your company files issues on your internal service. Weigh community reach according to how public your code actually is.
How to Choose
Choose GitLab when you want one platform for source control, pipelines, and security, and when you would rather configure defaults than assemble integrations. Choose it when you have to self-host, especially without an enterprise budget. Choose it when compliance and security scanning are contractual requirements, because more of that arrives included.
Choose GitHub when your code is public or you want it discoverable. Choose it when your toolchain depends on integrations that treat GitHub as the primary target. Choose it when your developers already know Actions, because pipeline familiarity is worth more than a tidier feature matrix.
Choose neither on a spreadsheet alone. Run one real service end to end on both, including a pipeline that builds, tests, scans, and deploys. A week of that reveals more than a quarter of evaluation documents.
And if you are already on one of them and working productively, the honest answer is usually to stay. Repositories migrate cleanly. Pipelines, permissions, automation, and habits do not, and the cost lands on the team least able to absorb it.
Final Thoughts
The GitLab and GitHub comparison used to be about features, and GitLab spent years shipping the things GitHub lacked. That race is largely over. Both platforms now cover planning, CI/CD, security scanning, package hosting, and AI assistance.
What remains is the packaging, and packaging is a strategic question rather than a technical one. GitLab asks you to consolidate. GitHub asks you to compose.
Teams that value one bill and one permission model lean GitLab. Teams that value reach and optionality lean GitHub.
Price both with the features you actually need turned on. That exercise resolves more of these decisions than any feature list, because the two platforms charge for very different things.
Frequently Asked Questions
Is GitLab better than GitHub?
Neither is better in general, and any answer that skips your context is guessing. GitLab tends to win on integrated CI/CD, included security scanning, and self-hosting. GitHub tends to win on ecosystem reach, marketplace depth, and open source visibility.
Is GitLab free?
GitLab has a free tier on GitLab.com with 400 compute minutes per month. Separately, GitLab Community Edition is open source under MIT and free to self-host, including for commercial use. Qualifying open source projects can also apply for Ultimate features through GitLab's open source program.
Can I migrate from GitHub to GitLab?
Repositories, branches, and tags move without much trouble, and both platforms provide import tooling that also brings across issues and pull requests. The hard part is everything else. Actions workflows do not translate into GitLab CI/CD, so pipelines get rewritten, and integrations, webhooks, and permission models all need rebuilding.
Does GitLab have something like GitHub Actions?
GitLab CI/CD covers the same ground and predates Actions. It reads a .gitlab-ci.yml file at your repository root and runs jobs on shared or self-hosted runners. The main difference in practice is the marketplace, where GitHub has far more prebuilt third-party steps.
Which one is better for open source projects?
GitHub, in almost every case. Contributors already have accounts, discovery is better, and most tooling assumes GitHub first. GitLab remains a reasonable home for a project whose contributors are already there, and its open source program offers Ultimate features to qualifying projects.
Is GitHub Copilot included with GitHub?
No. Copilot is a separate product with its own plans, including a limited free tier and paid individual and organization plans. That contrasts with GitLab, where Duo Core comes with Premium and Ultimate subscriptions on recent versions.
Can I self-host GitHub?
Yes, through GitHub Enterprise Server, a virtual appliance you run on your own infrastructure or in a cloud account. It is an enterprise product rather than a free option, and you take on upgrades and maintenance windows. GitHub's own documentation notes that self-hosted instances trail GitHub.com on new features.
Do I need both?
Some organizations run both, usually because open source work lives on GitHub while internal work stays on a self-managed GitLab instance. It is a workable arrangement with a real cost, since you maintain two permission models and two pipeline dialects. Do it deliberately, not by drift.
If you are consolidating a toolchain or planning a platform migration and want a second opinion on the sequencing, that is the kind of question our product engineering team works through often.


