If you are here, you have already been through the GitHub Marketplace "Backup Utilities" category and come away no wiser. That is a reasonable reaction. Most GitHub backup tools describe themselves in almost identical language: automated, secure, comprehensive, enterprise-ready. Half the listings are abandoned, and a few point at products that were quietly folded into something else.
Feature lists are not going to separate these products for you. Four other things will, and this article covers them, along with the order to think about them in.
If you have not yet worked out what a GitHub backup needs to contain, read the complete developer's guide to GitHub backups first. It covers what git clone --mirror captures, what GitHub's migration archives leave out, and how to script the whole thing yourself. This page assumes you have read that and would rather not maintain it.
Disclosure
We make one of the tools compared here. Read the SimpleBackups section with that in mind, and read the section on when you do not need any tool first.
What actually separates one GitHub backup tool from another
Where the backup lands. Some tools keep your data in storage they own. Others write to a bucket you control. This is the single biggest fork, it is a policy decision rather than a technical one, and it usually eliminates most of the shortlist on its own.
The one that catches people
Storage ownership is the question teams answer last and should answer first. It determines what happens to your backups when you stop paying, and it is the first thing an auditor asks about.
Metadata coverage, object by object. Every tool backs up code. The spread is in issues, pull requests, wikis, project boards, releases, Actions configuration, packages, discussions and Git LFS objects. "Full metadata backup" on a pricing page is not a specification. The objects at the end of that list are where tools quietly differ.
The restore path. A backup you cannot restore is a receipt. Ask whether restore is a button, an archive you re-import by hand, or a support ticket. The three are very different on the day you need one.
Whether the listing is still live. An active, verified Marketplace listing means GitHub reviewed the integration and its OAuth scopes. It is not a quality guarantee. A lapsed listing, on the other hand, is a real signal about how much attention the product is still getting.
The maintained tools in 2026
Three products still cover both repositories and metadata and are still being worked on.
| SimpleBackups | Rewind | GitProtect.io | |
|---|---|---|---|
| GitHub Marketplace | Active, verified | Active | Not listed |
| Code and history | Yes | Yes | Yes |
| Issues, PRs, wikis | Yes | Yes | Yes |
| Where backups live | Storage you own | Vendor-held | Cloud or on premises |
| Retention control | Policy per backup | Set by plan | Configurable |
| Stated compliance | GDPR, ISO 27001 | SOC 2, ISO 27001 | SOC 2 Type II, ISO 27001 |
| Aimed at | Solo through enterprise | Enterprise with DevOps staff | Hybrid storage, DR programmes |
Vendor scope changes without announcement, and this table is a starting point rather than a contract. Before you buy, confirm the specific metadata objects you care about against each vendor's current documentation, and confirm the Marketplace listing is still live.
SimpleBackups
Active and verified on the GitHub Marketplace. We back up repositories and metadata on a schedule you set, and we write the result to storage you own rather than to storage we own.
That last point is the decision everything else follows from. Your backups sit in your own S3, Backblaze B2, Wasabi or Hetzner bucket, encrypted in transit and at rest. If you stop paying us, the backups stay where they are and stay readable. Retention policies, failure notifications to email, Slack or push, and one-click restore sit on top of that.
Where we are weaker: if your requirement is that backups never leave hardware you operate, we are not the answer. We write to object storage, not to your own metal.
Rewind
Rewind, formerly BackHub, aims at larger organisations with formal compliance programmes. Daily automated backups, repository and metadata coverage, and a compliance posture built for procurement review.
Backups are held by Rewind rather than written to your own bucket. For teams that want a single vendor to own the whole chain and can accept that dependency, that is a reasonable trade and it removes a configuration step. For teams whose auditor asks where the data physically sits and who holds the key, it becomes a longer conversation.
Best fit: large enterprises with a dedicated DevOps function and budget already allocated to the category.
GitProtect.io
GitProtect comes at this from disaster recovery rather than from backup. Repository and metadata coverage, migration between Git hosts, and a choice of cloud or on-premises storage targets.
It is not currently listed on the GitHub Marketplace, so installation and scope review happen outside GitHub's own process. The on-premises option is the genuine differentiator here: of the three, it is the one that answers a hard requirement that backups stay on hardware you operate.
Best fit: organisations with an existing DR programme and a constraint on storage location.
When none of these is the right answer
Worth saying plainly, because a comparison table invites you to skip past it.
If you have one repository, no metadata worth preserving beyond the code, and a local clone on a machine you actually use, you already have a working backup. Adding a tool buys you very little. GitHub documents backing up a repository with a mirror clone, and a scheduled version of that to a bucket is genuinely enough for a solo project.
The point where a tool starts earning its cost is one of three things: you have more repositories than you can enumerate from memory, your issues and pull requests carry decision history nobody could recreate, or someone outside your team has started asking for evidence that backups run. Below that line, script it: the guide linked at the top walks through exactly that.
How to choose, in order
Work through these in this sequence and the answer usually falls out before you reach the end.
1. Does an auditor need to see this? If yes, storage location and retention evidence dominate everything else, and they eliminate options before you compare a single feature. What ISO 27001 and SOC 2 actually expect from GitHub backups is the thing to read before you shortlist.
2. Who owns the storage? Decide whether backups must live in a bucket you control, on hardware you operate, or whether vendor-held is acceptable. This is a policy call, and it usually reduces three options to one.
Write your answers to steps 1 to 3 down before you open a single vendor page. Shortlisting first and deriving requirements afterwards is how teams end up buying on feature count, which is the one axis these products barely differ on.
3. What exactly are you protecting? If it is only code, your options widen and your budget shrinks. If it is issues, pull requests and project boards, check metadata coverage object by object rather than trusting the summary line. What a git clone misses sets out the full surface.
4. How does a restore actually run? Ask for the restore path in writing before you buy, then test it during the trial with a repository you do not care about. Every tool here restores. They do not restore the same way, and the difference only shows up under pressure.
5. Is the listing still live? Check the Marketplace backup category before shortlisting anything. It has more abandoned entries than active ones, and a dead listing is the cheapest disqualifier available.
FAQ
What is the best GitHub backup tool?
There is no single answer, because the tools differ on where they store your data rather than on features. If your backups need to live in storage you control, that rules out vendor-held options immediately. If you need on-premises storage, that narrows it further. Start from your storage and compliance constraints and the shortlist usually reduces to one or two.
Does GitHub have a built-in backup tool?
No. GitHub documents how to back a repository up yourself with a mirror clone, and it publishes backup-utils for GitHub Enterprise Server, but there is no scheduled backup feature for github.com repositories or their metadata. Under GitHub's shared responsibility model, backing up your own content is your job.
Do I need a tool, or is a script enough?
A scheduled git clone --mirror to storage you control is a real backup and it is enough for a single repository with little metadata. Tools start earning their cost when you have more repositories than you can list from memory, when issues and pull requests carry decision history you cannot recreate, or when someone outside your team asks for evidence that backups run and restore.
Do GitHub backup tools cover issues and pull requests?
The maintained ones do, but coverage varies by object type. Issues, pull requests and wikis are widely supported. Project boards, discussions, Actions configuration, packages and Git LFS objects are where tools diverge, and they are also the items most often assumed rather than checked. Confirm the specific objects you care about against the vendor's current documentation.
How often should GitHub backups run?
Daily is the baseline for an active team, because it caps your worst case at one day of lost issue and pull request history. Repositories themselves are less urgent if developers hold recent clones locally. The metadata is the part with no second copy anywhere, which is what should drive the schedule.
The short version
The tools are more alike than their marketing suggests, and they differ on exactly one axis that matters: who holds your backups. Answer that first, confirm metadata coverage object by object, test a restore during the trial, and the decision makes itself.
If the answer is scheduled backups into storage you own, with metadata included, that is what SimpleBackups does for GitHub across repositories, issues, pull requests and wikis.