# skyplane-project/skyplane

🔥 Blazing fast bulk data transfers between any cloud 🔥

Repository: https://github.com/skyplane-project/skyplane
Canonical: https://ross.abutalabs.com/products/skyplane
Homepage: https://skyplane.org
Language: Python
License: Apache-2.0
License Family: permissive
Topics: data-transfer, multicloud, sky, skyplane, replication, aws, azure, cloud, cloud-computing, gcp, datasync, multi-cloud, rsync, data-antigravity
Last push: 2024-05-11T02:35:23+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1771, "days_push": 845, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1216, forks 76 (observed 2026-08-28T04:04:01.343896+00:00)

## What it is
Skyplane is a CLI tool for blazingly fast bulk data transfers between cloud object stores (AWS S3, Azure Blob, GCS, IBM COS) and local disks. It provisions fleets of VMs to transfer data in parallel, using compression and bandwidth tiering to reduce cost.

## Use cases
- transfer terabytes of data between aws s3 and google cloud storage
- replicate datasets across cloud regions within the same provider
- migrate data from azure blob storage to aws
- bulk copy files from local disk to a cloud object store
- cheaper alternative to aws datasync for cloud-to-cloud sync
- parallelize large-scale data replication between clouds

## When to choose
- you need to move large amounts of data between object stores on different cloud providers
- aws datasync or rsync-based transfers are too slow or expensive
- you want parallel, VM-provisioned transfers with compression to cut egress costs

## When to avoid
- you only need small, occasional file uploads to a single cloud
- you need a managed GUI service rather than a CLI with sharp edges
- you require fully supported local-to-cloud sync (still experimental)

## Facets
- artifact type: cli-tool
- maturity: active
- function: etl, cli, developer-tools
- domain: cloud-computing, big-data, files
- platform: python, cli, cloud
- tags: data-transfer, multicloud, object-storage, replication, aws-s3, azure-blob, gcp-storage, bandwidth-tiering, data-engineering, docker

## Member repositories
- skyplane-project/skyplane (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:01.343896+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:17:12.329304+00:00, confidence not recorded.
  - readme: https://github.com/skyplane-project/skyplane (fetched 2026-08-28T04:04:01.343896+00:00, sha 481e6652d364)
  - homepage: https://skyplane.org (fetched 2026-08-29T12:25:15.931740+00:00, sha 8967b7f41d0b)
  - registry_pypi: https://pypi.org/pypi/skyplane/json (fetched 2026-08-29T12:25:15.940878+00:00, sha 25534819871c)
- Data as of 2026-08-30T08:39:29.467469+00:00.