GraphCanon updated 2w · GitHub synced 2w
Decision brief
A CLI tool focused on data versioning across multiple cloud storage solutions.
Good fit when
- When you need to efficiently manage and version large datasets stored in AWS S3, Google Cloud Storage, Azure Blob Storage, or over SSH.
- If your workflow requires keeping track of commit history for data changes and you prefer a tool that integrates with existing cloud environments without additional server setup.
Avoid when
- ArtiVC might not be suitable if your primary concern is the versioning of code rather than large datasets, as it lacks features specific to software version control.
- Avoid using ArtiVC if you require a GUI interface for data management since it is exclusively designed as a command-line tool.
- Pricing:
- freemium
- Requirements:
- Min 1 GB RAM
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (14d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- 88 low (88 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
go get github.com/InfuseAI/ArtiVCSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
ArtiVC is a command-line tool that enables efficient management of large data files across various cloud storages and file systems, supporting features such as data versioning, commit history tracking, and integration with multiple backends including AWS S3, Google Cloud Storage, Azure Blob Storage.
Capability facts
- Languages
- go
Source: github.language · Aug 3, 2026
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README
ArtiVC
ArtiVC (Artifacts Version Control) is a handy command-line tool for data versioning on cloud storage. With only one command, it helps you neatly snapshot your data and Switch data between versions. Even better, it seamlessly integrates your existing cloud environment. ArtiVC supports three major cloud providers (AWS S3, Google Cloud Storage, Azure Blob Storage) and the remote filesystem using SSH.
Try it out from the Getting Started guide
Features
- Data Versioning: Version your data like versioning code. ArtiVC supports commit history, commit message, and version tag. You can diff two commits, and pull data from the specific version.
- Use your own storage: We are used to putting large files in NFS or S3. To use ArtiVC, you can keep putting your files on the same storage without changes.
- No additional server is required: ArtiVC is a CLI tool. No server or gateway is required to install and operate.
- Multiple backends support: ArtiVC natively supports local filesystem, remote filesystem (by SSH), AWS S3, Google Cloud Storage, and Azure Blob Storage as backend. And 40+ backends are supported through Rclone integration. Learn more
- Painless Configuration: No one like to configure. So we leverage the original configuration as much as possible. Use
.ssh/configfor ssh access, and useaws configure,gcloud auth application-default login,az loginfor the cloud platforms. - Efficient storage and transfer: The file structure of the repository is stored and transferred efficiently by design. It prevents storing duplicated content and minimum the number of files to upload when pushing a new version. Learn more
Documentation
For more detail, please read the ArtiVC documentation
For agents
This page has a .md twin and JSON over the API.