{"data":{"slug":"infuseai-artivc","name":"ArtiVC","tagline":"A CLI tool for data versioning on cloud storage","github_url":"https://github.com/InfuseAI/ArtiVC","owner":"InfuseAI","repo":"ArtiVC","owner_avatar_url":"https://avatars.githubusercontent.com/u/40975640?v=4","primary_language":"Go","stars":314,"forks":17,"topics":["data","machinelearning","storage","version-control"],"archived":false,"github_pushed_at":"2026-08-08T07:40:06+00:00","maintenance_label":"Steady","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/infuseai-artivc","markdown_url":"https://www.graphcanon.com/tools/infuseai-artivc.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/infuseai-artivc","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=infuseai-artivc","description":"A version control system to manage large files.","homepage_url":"https://artivc.io","license":"Apache-2.0","open_issues":12,"watchers":10,"ai_summary":"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.","readme_excerpt":"

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\n\n\n# ArtiVC\n\n[ArtiVC](https://artivc.io/) (**Arti**facts **V**ersion **C**ontrol) 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.\n\n\n\nTry it out from the [Getting Started](https://artivc.io/usage/getting-started/) guide\n\n# Features\n\n- **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.\n- **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.\n- **No additional server is required**: ArtiVC is a CLI tool. No server or gateway is required to install and operate.\n- **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](https://artivc.io/backends/rclone/) integration. [Learn more](https://artivc.io/backends/)\n- **Painless Configuration**: No one like to configure. So we leverage the original configuration as much as possible. Use `.ssh/config` for ssh access, and use `aws configure`, `gcloud auth application-default login`, `az login` for the cloud platforms.\n- **Efficient storage and transfer**: The file structure of the repository is stored and transferred efficiently by [design](https://artivc.io/design/how-it-works/). It prevents storing duplicated content and minimum the number of files to upload when pushing a new version. [Learn more](https://artivc.io/design/benchmark/)\n\n# Documentation\n\nFor more detail, please read the [ArtiVC documentation](https://artivc.io/usage/getting-started/)","github_created_at":"2022-02-06T15:10:05+00:00","created_at":"2026-07-11T23:27:00.813859+00:00","updated_at":"2026-09-28T06:00:16.428946+00:00","categories":[{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"}],"tags":[{"slug":"cloud-storage","name":"cloud-storage"},{"slug":"command-line","name":"command-line"},{"slug":"data-versioning","name":"data-versioning"},{"slug":"version-control","name":"version control"}],"trust":{"provenance":{"is_fork":false,"github_id":456185110,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-28T06:00:14.082Z","maintenance":{"label":"Steady","score":60,"methodology":"github_public_v1","releases_90d":0,"days_since_push":50,"last_release_at":"2023-02-07T07:08:55Z","stars_delta_30d":2,"open_issues_delta_30d":0},"security_summary":{"status":"findings","scanner":"osv@v1","low_count":88,"high_count":0,"last_scan_at":"2026-07-11T23:27:11.239Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-28T06:00:14.767Z"},"languages":{"value":["go"],"source":"github.language","observed_at":"2026-09-28T06:00:14.767Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-28T06:00:14.767Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium"},"requirements":{"min_ram_gb":1,"requires_docker":false},"constraints":{"min_ram_gb":1,"pricing_model":"freemium","requires_docker":false},"when_to_use":["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."],"when_not_to_use":["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."],"source":"enrich:decision_facts","observed_at":"2026-07-16T19:00:52.801Z"},"constraint_facets":{"min_ram_gb":1,"pricing_model":"freemium","requires_docker":false},"decision_summary":[{"label":"Pricing","value":"freemium"},{"label":"Requirements","value":"Min 1 GB RAM"},{"label":"Adopt for","value":"A CLI tool focused on data versioning across multiple cloud storage solutions."},{"label":"License detail","value":"Apache-2.0"}]}}