Description:
Data distribution geared toward scientific datasets
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Type: Formula
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Latest Version: 1.2.3@1
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Tracked Since: Dec 17, 2025
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Links:
Homepage |
@datalad |
formulae.brew.sh
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Category: Developer tools
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Tags:
data-science
scientific-computing
version-control
research
reproducibility
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Install:
brew install datalad
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About:
Datalad is a distributed data management system that tracks and shares datasets across multiple storage locations. It leverages Git and Git-Annex to provide a robust version control layer for large scientific data, enabling seamless collaboration and data provenance tracking.
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Key Features:
- Distributed data versioning with Git and Git-Annex
- Reproducible data analysis workflows
- Access to a global network of shared datasets
- Supports large files and diverse storage backends
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Use Cases:
- Managing and versioning large scientific datasets
- Ensuring reproducibility in computational research
- Sharing data across institutions with distributed storage
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Alternatives:
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Git LFS
– Datalad offers more powerful data distribution and management features on top of Git, whereas Git LFS focuses primarily on handling large files within a single repository.
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DVC
– DVC is heavily optimized for machine learning pipelines, while Datalad is a more general-purpose tool for any type of scientific data management and distribution.
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License: MIT
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Dependencies: certifi, cryptography, git-annex, p7zip, python@3.14
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Bottles available for: arm64_tahoe, arm64_sequoia, arm64_sonoma, sonoma, arm64_linux, x86_64_linux
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