Git / DevOps

Gitea vs GitLab CE

Run Gitea. For a homelab or a team under about 20 people this matchup stopped being close years ago: Gitea 1.26 idles in a few hundred megabytes, installs as a single binary, and its GitHub Actions-compatible CI now covers what most small teams actually run. GitLab's official requirements page lists 8 vCPU and 16 GB of RAM as the baseline for a self-hosted install, and an untuned Omnibus instance burns around 4 GB doing nothing. GitLab CE is still worth that bill in two specific cases: pipelines with real complexity (environments, review apps, multi-project triggers) and practicing the platform your employer runs. Here is how to tell which case you are.

Updated 2026-07-01 · by

Side by side

GiteaGitLab CE
Current version (July 2026)1.26.4 (June 22, 2026)19.1 (June 2026, monthly releases)
LicenseMIT, fully open sourceOpen core: MIT core, proprietary EE features
Official hardware baselineNone published; project guidance is 2 cores / 1 GB for small teams, runs on a Raspberry Pi8 vCPU, 16 GB RAM baseline; 8 GB stated minimum for constrained setups
Realistic idle RAM~200-300 MB with SQLite~4 GB untuned; ~1.7-2.5 GB + 1 GB swap after aggressive tuning
Install footprintSingle Go binary or one container, ~100 MBOmnibus package (~2.5 GB, 40 GB disk recommended) bundling nginx, PostgreSQL, Redis, Puma, Sidekiq, Gitaly, Prometheus
CI/CDGitea Actions: GitHub Actions syntax, runner 2.0 (June 2026), concurrency groups since 1.26GitLab CI/CD: DAG pipelines, includes, MR pipelines, environments, review apps
Container registryBuilt in, OCI-compliant, plus npm, PyPI, Maven, NuGet, Cargo, Helm and ~20 more formatsBuilt in, mature, plus package registry and GitLab Pages
Database optionsSQLite, PostgreSQL, MySQL/MariaDBPostgreSQL only (bundled)
Upgrade modelReplace binary or pull image, restartMonthly cadence, required upgrade-path stops, 18.11 loses support July 16, 2026

The resource gap is enormous, and it decides most homelabs

Gitea is a single Go binary that idles around 200 to 300 MB of RAM with SQLite as the backing store. The project's long-standing guidance is that two CPU cores and 1 GB of RAM covers a small team, and people run it happily on a Raspberry Pi 4 or the cheapest tier of any VPS. On a typical homelab box it disappears into the noise next to your other containers.

GitLab is a different animal. The official requirements page now lists 8 vCPU and 16 GB of RAM as the baseline and says memory-constrained setups need at least 8 GB. That is not padding: an untuned Omnibus install idles around 4 GB because you are running Puma, Sidekiq, Gitaly, PostgreSQL, Redis, nginx, and a full Prometheus monitoring stack whether you asked for them or not. GitLab also wants 40 GB of disk for the application node before your repositories take a single byte.

GitLab does publish a memory-constrained tuning guide that gets a single-user instance down to roughly 2.5 GB of RAM plus 1 GB of swap: disable Puma clustered mode (saves 100-400 MB), cut Sidekiq concurrency to 10, turn off Prometheus and the exporters (saves ~300 MB), and tune jemalloc. It works, and their own docs show about 1.7 GB used at rest afterward. But you are running the platform in a configuration its own engineers frame as degraded, and every monthly upgrade risks pushing you back over the line.

CI/CD: Gitea Actions closed most of the gap

The historical reason to eat GitLab's resource bill was CI/CD, and that argument is much weaker in 2026. Gitea Actions shipped in 1.19, has been enabled by default since 1.21, and uses GitHub Actions YAML. You drop workflows into .gitea/workflows, most Marketplace actions (checkout, setup-node, setup-python, cache) run unchanged, and the runner (renamed from act_runner in April 2026) hit version 2.0 in June 2026 with Docker job isolation and an ephemeral mode for hardened setups. The 1.26 release added concurrency groups, per-job retry, and workflow dependency graphs, which were the loudest missing pieces.

It is still not GitLab. There are no merge request pipelines as a first-class concept, no environments with deploy tracking, no review apps, and no multi-project pipeline triggers. But be honest about what your pipelines do. If the answer is run tests, build an image, push it to a registry, and maybe SSH a deploy script somewhere, Gitea Actions does all of that today, and the built-in OCI registry means the image push does not even leave the box.

GitLab CI/CD remains the best self-hosted pipeline system you can run, full stop. A decade of production hardening, .gitlab-ci.yml with includes and DAG-based needs, first-class artifacts and caching, and pipelines wired directly into the merge request workflow. If CI is the actual product you are self-hosting and the Git repo is just where code lives, GitLab is still the stronger tool and the RAM is the price of admission.

Operations: the cost nobody budgets for

A Gitea upgrade is: download the new binary or pull the new image, restart, done in under a minute. Backups are one dump command plus the repositories directory. The June 2026 security release (1.26.3 and 1.26.4 fixed a cluster of CVEs, including an HTTP header trick that granted admin access) is your reminder that lightweight does not mean patch-optional, but patching costs you minutes, not evenings.

GitLab ships a release every month and expects you to keep up. As of July 2026 only 19.1, 19.0, and 18.11 are supported, and 18.11 hits end of support on July 16. Fall a few versions behind and you cannot jump to latest: you must upgrade through required stops in sequence, waiting for background migrations at each one. Omnibus makes each individual hop mostly painless, but it is a recurring chore, and a failed migration on a big instance is a genuinely bad night.

This is the part homelab spreadsheets miss. The RAM line item is visible; the twelve upgrade windows a year are not. If your Git server is infrastructure you want to forget exists, Gitea's operational profile is closer to a static site than a platform.

Licensing, governance, and the Forgejo question

Gitea is MIT licensed with no feature gates inside the product, but stewardship sits with Gitea Ltd, a for-profit company that took over the trademark and domains in 2022, and there are now paid Cloud and Enterprise editions. That takeover is exactly why Forgejo exists: contributors who wanted community control forked the project under the nonprofit Codeberg e.V., went hard fork in early 2024, relicensed new code under the GPL, and now ship their own LTS line (v15 as of mid 2026) with ActivityPub federation work Gitea does not have. Migration from Gitea to Forgejo is only guaranteed from around the fork point, so pick a lane early rather than late.

GitLab CE is open core. The core is MIT, but the moment you want merge request approval rules, code owners enforcement, protected environments, or most of the security scanning dashboards, you hit the paid wall. For a homelab this rarely bites because the free core is genuinely large. For a growing team it is a slow ratchet that is designed, competently, to convert you into a subscription.

Where Gitea wins

  • Idles around 200-300 MB of RAM; two cores and 1 GB genuinely covers a small team
  • Single binary or one container; upgrades are replace-and-restart in under a minute
  • Gitea Actions runs most GitHub Actions workflows and Marketplace actions unchanged, with concurrency groups and job retry since 1.26
  • Built-in registry handles OCI containers plus npm, PyPI, Maven, NuGet, Cargo, Helm, and roughly 20 more formats
  • SQLite option means zero external services for a small install
  • MIT licensed with no feature paywall inside the product

Where GitLab CE wins

  • The most mature self-hosted CI/CD available: DAG pipelines, includes, artifacts, caching, all wired into merge requests
  • Environments, review apps, and deploy tracking that Gitea simply does not have
  • Container registry, package registry, and Pages proven at massive scale
  • Skills transfer directly to the GitLab that employers actually run
  • Omnibus installs and configures the entire stack from one config file
  • Monthly releases with documented upgrade paths and an enormous body of community answers

Which to pick, by situation

Your situationPickWhy
Solo homelab on a mini PC, Raspberry Pi, or low-tier VPSGiteaIt idles in a few hundred MB next to your other containers. GitLab would claim half the machine to serve one user.
Small team that needs tests and image builds on every pushGiteaGitea Actions runs GitHub-style workflows (with concurrency groups since 1.26) and pushes to the built-in OCI registry. That covers 90 percent of small-team CI.
You want hands-on practice with the stack employers runGitLab CEGitLab administration, runners, and .gitlab-ci.yml are resume line items. Gitea skills are real but nobody hires for them.
Pipelines are the product: environments, review apps, multi-project triggersGitLab CEGitea Actions has no answer for deploy tracking, review apps, or cross-project pipeline orchestration. GitLab has done this well for a decade.
You care about community governance or copyleft licensingForgejo (the curveball)Same lineage as Gitea, GPL licensed, run by the Codeberg nonprofit, near-identical footprint, plus federation work. It is what Codeberg itself runs.
Dedicated box with 32 GB+ and you actually enjoy platform administrationGitLab CEIf the RAM is spare and monthly upgrade windows sound like fun instead of a tax, you get the most capable self-hosted DevOps platform there is.

The verdict

For a homelab this is not a close call: run Gitea. You get repos, a GitHub-compatible CI system, and a full container and package registry from one binary that idles in a few hundred megabytes, while GitLab's own documentation now asks for 8 vCPU and 16 GB as its baseline. That is a 40-to-1 memory difference for a feature set most homelabs and small teams will never distinguish in daily use. GitLab CE earns its footprint in exactly two situations: your pipelines genuinely need environments, review apps, and multi-project orchestration, or you are deliberately building GitLab administration skills for work. If neither applies, the extra 15 GB of RAM buys you monthly upgrade chores and nothing you will use.

Choose Gitea if you want GitHub-style repos, working CI, and a container registry from one service that idles in a few hundred megabytes and upgrades in under a minute

Choose GitLab CE if you have 16 GB of RAM to dedicate, your pipelines need environments and multi-project orchestration, or you want hands-on practice with the platform employers actually run

Official links

FAQ

How much RAM does Gitea actually use?

Around 200-300 MB at idle with SQLite, under 1 GB for most small teams with PostgreSQL. Budget separately for CI runners, since jobs use whatever your builds need. There is no published minimum because it has never needed one; it runs on a Raspberry Pi.

Can I really run GitLab CE in 4 GB of RAM?

Barely, and you should not plan on it. The official baseline is 8 vCPU and 16 GB, with 8 GB stated as the constrained minimum. A dedicated tuning guide (single Puma worker, Sidekiq concurrency 10, monitoring disabled) gets a single-user instance to about 2.5 GB plus 1 GB of swap, but it is slow and fragile across upgrades. If 4 GB is your budget, run Gitea.

Is Gitea Actions a drop-in replacement for GitHub Actions?

Close. Same YAML, workflows live in .gitea/workflows instead of .github/workflows, and popular Marketplace actions like checkout and setup-node work as-is. Version 1.26 added concurrency groups and per-job retry. You still lose GitHub-specific features and anything that depends on GitHub's API surface, so audit any exotic actions before migrating.

Should I run Forgejo instead of Gitea?

It is a legitimate choice. Forgejo hard-forked from Gitea in 2024 under the Codeberg nonprofit after Gitea's trademark moved to a for-profit company. It is GPL licensed, ships LTS releases (v15 in 2026), and adds ActivityPub federation. Feature-wise they remain similar for daily use. Pick Forgejo for governance and copyleft, Gitea for the larger ecosystem, but decide early because cross-migration is only guaranteed near the fork point.

What does GitLab CE give up versus paid GitLab?

The core workflow (repos, MRs, CI, registry, Pages) is complete in CE. The paid tiers hold back merge request approval rules, enforced code owners, protected environments, epics, and most security scanning dashboards. Homelabs rarely notice. Teams past 10-15 developers start noticing fast, which is the business model working as intended.

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