--- id: multi-storage-client version: "1.0.1" license: Apache-2.0 license_treatment: permissive maintenance: active --- # multi-storage-client — Unified high-performance Python client for object and file stores. License: permissive · Maintenance: active · Downloads: 622.9K/mo ## What it is and what it does Multi-Storage Client is a unified Python library that abstracts away the differences between multiple object and file storage services—AWS S3, Azure Blob Storage, Google Cloud Storage, NVIDIA AIStore, OCI Object Storage, and POSIX file systems—behind a single generic interface. Instead of learning and maintaining separate code paths for each storage provider, you write once against MSC's API and can swap storage backends without changing application logic. The library is built with performance in mind and includes compiled extensions (Rust-backed wheels) for CPython on Linux and macOS. It depends on 13 runtime packages including jmespath, jsonschema, pyyaml, opentelemetry-api, and others for parsing, validation, observability, and file operations. The project is actively maintained by NVIDIA, with recent releases and ongoing development. Use it for: - Build data pipelines that read from multiple cloud providers without rewriting storage access code for each one. - Migrate workloads between cloud providers by changing a configuration parameter instead of refactoring application code. - Develop hybrid cloud or multi-cloud applications that access both on-premises POSIX storage and cloud object stores uniformly. - Create portable ML training scripts that can pull datasets from S3, GCS, or Azure interchangeably. - Abstract storage details in microservices so teams can optimize cost or performance by switching providers without application changes. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Unified Python client providing a generic interface to read, write, and manage objects across multiple storage services including AWS S3, Azure Blob Storage, Google Cloud Storage, and POSIX file systems. Yes, if you work with multiple storage providers or anticipate needing to switch between them. The unified interface and active maintenance make it a solid choice for multi-cloud or hybrid deployments. Medium install friction (13 dependencies, compiled wheels) is typical for a performance-focused library. No known vulnerabilities and permissive licensing remove barriers. Not necessary if you only use a single storage provider and are comfortable with its native SDK. ## Install pip install multi-storage-client uv add multi-storage-client poetry add multi-storage-client ## Installing multi-storage-client Before you install: Medium install friction due to 13 runtime dependencies and compiled wheels for multiple Python versions (3.10–3.13) and platforms. Active maintenance with recent release (21 days old) and ongoing repository activity. License in practice: Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects that can comply with attribution and derivative-work disclosure. Quickstart: pip install multi-storage-client from multi_storage_client import StorageClient client = StorageClient() object_data = client.get('s3://bucket/key') Requires Python 3.10 or later; compiled wheels available for CPython on x86_64 and aarch64 Linux, macOS arm64, and PyPy. Verify before relying: - Specific performance benchmarks or throughput claims for multi-provider scenarios. - Whether all 13 runtime dependencies are strictly required or if some are optional. - Support status and API stability guarantees for NVIDIA AIStore and OCI Object Storage. - Whether the client handles provider-specific features (e.g., S3 versioning, Azure SAS tokens) or only a common subset. ## Package facts - License: Apache-2.0 (permissive) - Python support: supports_current - Install friction: medium - Maintenance: active - Downloads: 622.9K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags multi-cloud storage client, unified object storage interface, s3 azure gcs abstraction, cloud storage abstraction layer, multi-provider file storage, portable storage api, cloud-agnostic object store, multi-cloud, storage-abstraction, object-store [View on SkillFed](https://skillfed.io/packages/multi-storage-client) · [View on PyPI](https://pypi.org/project/multi-storage-client/)