No. 7 of 36 ·Data Version Control Tools

DataLad

Windows · Mac · Linux

Freedom report

Three barsScore 6.5

Free tierA free tier is on its own pricing page
Open codeNo open-source code on record
Runs widely3 of 6 device platforms
DocumentedPlans, terms and facts published

DataLad is ranked #7 of 36 in data version control tools on Freedom251. It runs on Linux, macOS, Windows. There is a free plan.

DataLad plans and pricing

All plans

DataLad Free free and open source datalad.org · 30 Sept 2026

Compared on data version control tools

Free plan: Yes
Data scope: files
Dataset branching: Yes
Point-in-time rollback: Yes
Snapshot granularity: file
Storage backend: bring_your_own
Deployment model: self_hosted

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The record

Purpose: DataLad is a free and open source distributed data management system for tracking data, creating structure, reproducibility, collaboration, and integration with data infrastructure.
Version control: DataLad builds on Git and git-annex to version arbitrarily large files without custom data structures, central infrastructure, or third-party services.
Provenance: DataLad captures full provenance records and supports reproducible workflows.
Nested datasets: DataLad supports arbitrarily deep hierarchies of linked subdatasets and recursive commands.
User interfaces: DataLad can be used through a graphical user interface or command line.
Core operations: Its commands include creating, cloning, on-demand retrieval, saving, dropping, and pushing dataset content.
Integrations: DataLad has built-in export commands for services such as GitHub and Figshare and is compatible with services including Dropbox and Amazon S3.
Installation: The official site documents installation on Linux, macOS, and Windows using Python, datalad-installer, and dependencies Git and git-annex.
Security: The DataLad Handbook describes using git-annex encryption with GnuPG to keep annexed data encrypted during storage and transport.
Credentials: DataLad can store authentication credentials in the operating system's encrypted keyring through Python keyring.
Privacy limitation: The Handbook warns that sensitive information saved in Git remains in transparent revision history even after later removal.
Support: Users can get help through Matrix community chat, weekly office hours, and GitHub issues.
Audience: The project was historically established for researchers in medicine and neuroscience and now has a domain-agnostic focus.
License: The software and associated documentation are published under the MIT license.
Price from: Free

Where it ranks on Freedom251

Best Data Version Control Tools in 2026#7 of 36

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Sources

datalad.org· checked 30 Sept 2026
handbook.datalad.org/en/latest/usecases/encrypted_annex.html· checked 30 Sept 2026
handbook.datalad.org/en/latest/beyond_basics/101-146-provide· checked 30 Sept 2026
handbook.datalad.org/en/latest/basics/101-139-privacy.html· checked 30 Sept 2026
project.datalad.org· checked 30 Sept 2026