{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/10"}],"enrichment":{"capability":"Transfers files between workstations and AWS Deadline Cloud using Amazon S3 as content-addressed storage, avoiding redundant uploads of identical files.","skillfed_tags":["aws-integration","file-transfer","content-addressing"],"use_cases":["Upload job assets and dependencies to AWS Deadline Cloud before submitting rendering or compute jobs","Retrieve completed job outputs and results from cloud storage back to local workstations","Manage file versioning and deduplication in S3 without manually tracking content hashes","Integrate file transfer logic into custom AWS Deadline Cloud job submission pipelines"],"what_it_does":"This library handles file transfers between your local workstations and AWS Deadline Cloud by leveraging Amazon S3 as a content-addressed storage backend. Instead of uploading the same file multiple times, the library tracks file content and uploads only new or modified files, reducing bandwidth and storage costs. It abstracts away the complexity of managing S3 uploads and retrievals, presenting a simpler interface for job attachment workflows.\n\nThe package is designed for developers building applications on AWS Deadline Cloud who need to reliably move job-related files (assets, scripts, dependencies) to and from the cloud. It runs on Python 3.8 through 3.14 across Linux, Windows, and macOS, and depends on boto3 for AWS integration, psutil for system monitoring, and xxhash for content hashing.","worth_installing":"Yes, if you are building on AWS Deadline Cloud and need to move files between workstations and the cloud. The library is actively maintained, has no known vulnerabilities, low install friction, and permissive licensing. It is still in initial development (version 0.1.3), so expect potential API changes in minor version bumps; review the changelog before upgrading in production."},"id":"deadline-job-attachments","links":{"html":"https://skillfed.io/packages/deadline-job-attachments","md":"https://skillfed.io/packages/deadline-job-attachments.md","pypi":"https://pypi.org/project/deadline-job-attachments/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-15","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"deadline-job-attachments","python_support":"supports_current","summary":"Library that enables file transfers between workstations and AWS Deadline Cloud using Amazon S3 buckets as content-addressed storage."},"popularity":{"monthly_downloads":91366,"position":13518,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.3"}