{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/2"}],"enrichment":{"capability":"Download, upload, and manage AI models, datasets, and other assets on ModelScope Hub through a unified Python SDK and CLI interface.","skillfed_tags":["model-hub","ml-ops","cli-tool"],"use_cases":["Download pre-trained models with pattern filtering to get only specific file types (e.g., .safetensors weights).","Upload trained model weights or datasets to a personal or organizational ModelScope repository with commit messages and folder organization.","Integrate ModelScope asset downloads into training or inference pipelines using the HubApi class with custom progress callbacks.","Manage repository metadata, visibility, and gating settings from the CLI without visiting the web interface.","Access cached models offline using local_files_only=True after an initial download, useful in air-gapped or low-bandwidth environments.","Deploy MCP servers or Studio spaces and manage their operational URLs and environment variables from the terminal."],"what_it_does":"modelscope-hub is the official Python SDK and CLI for interacting with ModelScope Hub, a repository hosting many AI models and datasets. It provides a single HubApi class and ms-hub command-line tool that unify operations across models, datasets, Studio spaces, skills, and MCP servers. The package handles the full lifecycle: authentication, downloading individual files or entire snapshots with resume capability and integrity checks, uploading files and folders, creating and managing repositories, and inspecting cached assets.\n\nThe package is built on ModelScope's OpenAPI surface with transparent fallback to legacy APIs for backward compatibility. Downloads include production-grade features like HTTP Range resume, parallel range download for large files, per-file retry with backoff, SHA256 verification, file locking for multiprocess safety, offline mode, and progress callbacks. The CLI supports filtering by file patterns, direct local-directory downloads that bypass the cache, and full repository lifecycle management including secret management and cache inspection.","worth_installing":"Yes. The package is actively maintained, has low install friction, carries a permissive license, and solves a concrete problem for anyone working with ModelScope Hub assets. Recent releases show active bug fixes and error-handling improvements. No known vulnerabilities. Install if you need to programmatically or via CLI download, upload, or manage models and datasets on ModelScope Hub."},"id":"modelscope-hub","links":{"html":"https://skillfed.io/packages/modelscope-hub","md":"https://skillfed.io/packages/modelscope-hub.md","pypi":"https://pypi.org/project/modelscope-hub/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-01","license_spdx":null,"license_treatment":"permissive","name":"modelscope-hub","python_support":"supports_current","summary":"The official Python client to connect with ModelScope Hub."},"popularity":{"monthly_downloads":4102610,"position":2379,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.2.0"}