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Zrepl Alternatives
Similar projects and alternatives to zrepl
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InfluxDB
InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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Moby
The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems
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zfsbootmenu
ZFS Bootloader for root-on-ZFS systems with support for snapshots and native full disk encryption
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sanoid
These are policy-driven snapshot management and replication tools which use OpenZFS for underlying next-gen storage. (Btrfs support plans are shelved unless and until btrfs becomes reliable.)
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yunohost
YunoHost is an operating system aiming to simplify as much as possible the administration of a server. This repository corresponds to the core code, written mostly in Python and Bash.
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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httm
Interactive, file-level Time Machine-like tool for ZFS/btrfs/nilfs2 (and even Time Machine and Restic backups!)
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docker-mailserver
Production-ready fullstack but simple mail server (SMTP, IMAP, LDAP, Antispam, Antivirus, etc.) running inside a container.
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zfs_autobackup
ZFS autobackup is used to periodicly backup ZFS filesystems to other locations. Easy to use and very reliable.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better zrepl alternative or higher similarity.
zrepl discussion
zrepl reviews and mentions
Posts with mentions or reviews of zrepl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-22.
- Zrepl – ZFS replication
- zrepl: A one-stop, integrated solution for ZFS replication
- PVE Host disk upgrade
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Void Linux and root-on-ZFS question
Lastly there is zrepl. This is an automatic snapshot creation, pruning and replication daemon. It lets you automate the creation of ZFS snapshots at specific intervals, apply a retention policy to them, and replicate them out to a remote system with ZFS, like a NAS with TrueNAS on it.
- Container Updating Strategies
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How do you all prepare for a disaster recovery of your nextcloud instance?
I run it in a FreeBSD jail and take frequent ZFS snapshots using zrepl. I’ve had to restore after failed updates and it worked flawlessly.
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Recommend ZFS automation scripts for off-server backups?
As others have noted, I use syncoid but zrepl is an alternative that could be considered.
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Imagine You're a Goofball: Dynamic Preventative ZFS Snapshots
I’m going to throw out Zrepl again because it’s amazing: https://zrepl.github.io/
- Using ZFS backup drive for rsync manually
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Question about best way to do zfs replication to a friends server
Current idea: We offer some form of container each other, where we have that zvol mounted somewhere for the replication use. This would mean that I could create an "inside zfs" where I create a filebased zpool. How is performance on a filebased zpool? (Although it is technically not so important that it performs critically, just trying to find the - or one of - "best" ways). Then we would offer each an ssh endpoint into that container (It doesn't have to be ssh, but it is so far convenient to setup and resilient to be open to the public). And my current plan is to use zrepl (https://zrepl.github.io/) to organise replication from my home server to this "inside" zpool.
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A note from our sponsor - InfluxDB
influxdata.com | 25 Apr 2025
Stats
Basic zrepl repo stats
22
1,014
7.3
9 days ago
zrepl/zrepl is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of zrepl is Go.
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InfluxDB high-performance time series database
Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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