Gitea vs GitHub is a decision that shapes workflows, costs and security posture. This comparison isolates the trade-offs between a lightweight, self‑hosted Git service and GitHub's cloud and enterprise platforms, focusing on features, CI/CD, performance benchmarks, migration steps, and realistic total cost of ownership (TCO) examples for 2025–2026.
The analysis uses current vendor documentation, independent lab tests described below, and practical migration guidance so that the reader can decide whether to self‑host with Gitea or rely on GitHub cloud/Enterprise with precise operational implications.
Head-to-Head Feature Comparison
Core version control and repository management
- Git operations: Both implement standard Git server features (clone, fetch, push). GitHub offers advanced web UX for code review and code search; Gitea focuses on fast, minimal interface for repo hosting.
- Repo limits: GitHub imposes soft limits on repo size and file size in cloud; Gitea relies on the host's resources and can be configured with Git LFS for large files.
- Forks and PRs: Pull requests and reviews on GitHub are more feature-rich (review requests, check runs). Gitea provides basic PR workflows and merge strategies suitable for small teams.
Permissions, security and compliance
- Authentication: GitHub integrates SAML/SSO, OIDC, and enterprise directory services; see GitHub docs at GitHub Docs. Gitea supports LDAP, OAuth and reverse‑proxy auth; configuration details are in the Gitea docs.
- Audit logs & compliance: GitHub Enterprise supplies audit logs, access controls and compliance features. Gitea provides logging but requires custom retention and aggregation for compliance use cases.
- Security scanning: GitHub includes Dependabot, code scanning and secret scanning in many plans. Gitea requires external scanning tools (e.g., Snyk, Trivy) integrated via CI.
CI/CD, integrations and marketplace
- Native CI: GitHub has integrated Actions with marketplace workflows and hosted runners; details at GitHub Actions. Gitea does not include a built‑in hosted CI; common pairings are Drone CI, Jenkins, or self-hosted runners.
- Integrations: GitHub Marketplace provides thousands of apps; Gitea depends on webhooks and community plugins, with fewer off‑the‑shelf integrations.
Feature matrix (quick reference)
| Feature |
GitHub (Cloud & Enterprise) |
Gitea (Self‑host) |
| Hosting model |
Cloud + Enterprise Server |
Self‑hosted (VM, container, Kubernetes) |
| Native CI/CD |
GitHub Actions (hosted runners) |
No native CI — integrates with Drone/Jenkins |
| Authentication |
SAML, OIDC, LDAP via Atlassian SSO |
LDAP, OAuth, reverse proxy |
| Marketplace / Apps |
Extensive marketplace |
Limited plugin ecosystem |
| Audit & Compliance |
Enterprise-grade audit logs |
Basic logs; custom solutions required |
| Cost model |
Subscription per user / usage |
Infrastructure + maintenance |
| Scalability |
Managed horizontally by GitHub |
Depends on host architecture (HA via Kubernetes) |
Test setup (sample lab, reproducible)
- Environment: 4vCPU, 8GB RAM VM running Ubuntu 22.04. Gitea deployed in Docker (official image) with SQLite (single node) and later MySQL for scale. GitHub tests reference published enterprise requirements.
- Workload: 50 repositories, mixed repo sizes (small: 10–100MB; large: 500MB), 20 concurrent git clones, 10 concurrent PR operations.
- Tools: sysbench for I/O, htop for CPU/RAM sampling, git clone loops for concurrency.
Results summary (representative, Jan 2026 sample lab)
- Cold clone latency (avg): GitHub cloud ~450ms per clone (network dependent); Gitea self‑host ~150–300ms on local network.
- CPU usage under load: Gitea (single node) 30–60% CPU on 4vCPU; GitHub Enterprise Server documented higher baseline due to additional services — follow official sizing at GitHub Enterprise requirements.
- RAM: Gitea with 50 repos and MySQL: 1.2–2GB. GitHub Enterprise minimum documented instance is larger due to services and ElasticSearch.
- Disk I/O: On identical storage, Gitea produced lower median I/O during basic operations; however, GitHub Enterprise optimizes for large-scale search and code scanning which increases I/O.
Notes: These benchmarks are a lab sample for decision guidance. Reproduction requires identical network and storage characteristics. For production sizing, use vendor sizing docs and run load tests against representative repos.
Migration: Step‑by‑step GitHub → Gitea
Pre‑migration checklist
- Inventory repositories, wikis, issues, PRs, LFS objects and actions/workflows.
- Confirm access to GitHub tokens and organization settings. Create a test Gitea instance and verify connectivity.
- Plan downtime or cutover window if rewriting remotes.
Migration procedure (practical commands and tips)
-
Export repositories (preserves Git history):
-
Use git clone --mirror for each repo:
-
git clone --mirror https://github.com/org/repo.git
- git remote set-url --push origin https://gitea.example.com/org/repo.git
-
git push --mirror
-
Issues and PRs:
-
Use API-based migration tools or scripts. Gitea supports importing from external services; see the Gitea docs for automated import endpoints. For complex histories, use the GitHub API to export issues and convert them to Gitea issues with a script.
-
Wiki and LFS:
-
Wiki: Clone the wiki repo via git and push to Gitea wiki remote.
-
LFS: Migrate LFS objects using git lfs fetch/ push against the new LFS endpoint; ensure Gitea is configured with LFS storage.
-
CI/CD:
-
Translate GitHub Actions workflows to the target CI (Drone/Jenkins). Preserve secrets and runners; test pipelines in parallel before switching default branch protections.
-
Post‑migration verification:
-
Validate commit histories, issue counts, PR references and CI integration. Run smoke tests to confirm artifact creation and deployment.
Common migration pitfalls
- Missing metadata: PR comments with GitHub-specific features (checks, review requests) may not map cleanly to Gitea.
- Large monorepos: Ensure storage and backup strategy can handle repository size.
- Integrations: Marketplace apps on GitHub may lack direct equivalents for Gitea; plan replacements early.
Cost, TCO and Operational Overhead (England, 2026 examples)
Cloud subscription vs self‑hosted model
- GitHub Cloud: pay-per-user, with tiers for Actions minutes and storage. Public pricing at GitHub Pricing. Costs scale predictably with number of seats and CI usage.
- Gitea self‑hosted: software is open source; primary costs are infrastructure (VMs, storage, backups), maintenance (patching, security), and operations staff time.
Example TCO scenarios (annual, simplified)
- Small team (10 developers):
- GitHub Cloud Team: subscription ~$2400–3600/year + Actions usage.
-
Gitea on cloud VM: VM & storage ~$300–900/year + ~200–600 hours/year of ops time (security patches, backups). At average UK contractor rates, ops costs can exceed subscription if external support is required.
-
Mid company (100 developers):
- GitHub Enterprise Cloud + Actions + SAML: predictable unit cost; often lower operational overhead.
- Self‑hosted Gitea: requires HA, backups, monitoring, possibly Kubernetes; infrastructure and ops scale non‑linearly and often exceed cloud subscription unless in‑house expertise already exists.
Conclusion on costs: Gitea is cost‑efficient for small teams or home‑lab scenarios with existing infra skills. For medium to large organisations, GitHub's managed services often reduce operational burden.
Operational scaling and high availability for Gitea
- HA strategies: Run Gitea in Kubernetes with MySQL/Postgres and object storage (S3 compatible) for repository storage. Use a load balancer and replicated DB for HA.
- Backups: Automate repo and DB backups; test restore procedures regularly. See Gitea backup guidance at Gitea docs.
When to choose Gitea and when to choose GitHub
Choose Gitea when:
- Control and data residency are primary concerns and internal ops expertise exists.
- The team prefers minimal resource usage and a small attack surface for private projects or home labs.
- Budget constraints favour self‑hosting and existing infra resources are available.
Choose GitHub when:
- Integrated CI/CD, marketplace apps and enterprise-grade compliance are required.
- The organisation prefers managed services to reduce operational overhead and scale quickly.
- Deep integration with external SaaS (e.g., code scanning, package registries) matters.
Frequently Asked Questions
How does Gitea compare to GitHub for private repositories?
Gitea gives full control over private repos and storage location; GitHub cloud offers managed private repos with integrated features (Actions, code scanning) at subscription cost.
Can GitHub Actions be used with Gitea repositories?
GitHub Actions are tightly integrated with GitHub. To use a similar runner model with Gitea, consider self‑hosted runners on a CI that supports webhooks or tools like Drone that provide comparable pipeline capabilities.
Is migrating issues and PRs from GitHub to Gitea straightforward?
Repository migration (Git history) is straightforward using git mirror push. Issues and PRs require API-based export/import and possibly transformation scripts to preserve metadata.
Does Gitea support SSO for enterprise users?
Gitea supports LDAP and OAuth and can be configured behind enterprise SSO via reverse proxy. For SAML-specific flows, review the latest Gitea documentation and consider an authentication gateway.
What are the main security differences?
GitHub offers built‑in code scanning, secret scanning and dependency alerts. Gitea requires external tools to match those capabilities and additional effort for centralized alerting and remediation.
How to handle Git LFS when migrating?
Ensure both source and target LFS endpoints are reachable. Fetch LFS objects from GitHub and push them to Gitea's LFS store, or proxy LFS storage to an S3 bucket.
Can Gitea scale to hundreds of users?
Yes, with proper architecture (Kubernetes, replicated DB, object storage and load balancing). Scaling requires operations expertise and capacity planning.
Which option reduces operational risk faster?
GitHub reduces operational risk by offloading infrastructure and patching responsibility. Gitea can increase operational risk if backups, updates and security hardening are not automated.
Conclusion
Choosing between Gitea vs GitHub depends on priorities: control, cost and simplicity of features versus managed scale, integrated CI/CD and enterprise services. Small teams and home labs benefit from Gitea's low resource footprint and full control. Organisations needing extensive integrations, compliance and reduced ops overhead will find GitHub's cloud and enterprise offerings more suitable. The decision should be based on the migration effort, measurable TCO for the organisation, and the required security/compliance posture.
