deadline-job-attachments
Library that enables file transfers between workstations and AWS Deadline Cloud using Amazon S3 buckets as content-addressed storage.
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 through 3.14 and a Linux, Windows, or macOS operating system; AWS credentials and an S3 bucket configured in your AWS account are needed for actual file transfers.
- Low friction install with five runtime dependencies (boto3, psutil, pywin32, typing-extensions, xxhash).
- Active maintenance with a release 30 days ago; repository is current and not archived.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions; suitable for most deployment contexts.
last release 2026-07-15 (30 days) · last repo commit 2026-08-14
0 known vulnerabilities (OSV.dev, 2026-08-14) · 91,366 downloads/mo, #13,518 on PyPI
Alternatives
Verify before relying
pip install deadline-job-attachments
import deadline_job_attachments
# Use the library to configure and manage file transfers to AWS Deadline Cloud- Whether the library provides a high-level API or requires low-level S3 management
- Performance characteristics and file size limits for typical job attachment workflows
- Integration requirements with existing AWS Deadline Cloud job submission tools
What it is and 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.
The 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.
Use it for
- 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
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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.
Install
deadline-job-attachments on PyPI
Before you install
Low friction install with five runtime dependencies (boto3, psutil, pywin32, typing-extensions, xxhash). Active maintenance with a release 30 days ago; repository is current and not archived.
Requires Python 3.8 through 3.14 and a Linux, Windows, or macOS operating system; AWS credentials and an S3 bucket configured in your AWS account are needed for actual file transfers.
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions; suitable for most deployment contexts.
Quickstart
pip install deadline-job-attachments
import deadline_job_attachments
# Use the library to configure and manage file transfers to AWS Deadline CloudVerify before relying
- Whether the library provides a high-level API or requires low-level S3 management
- Performance characteristics and file size limits for typical job attachment workflows
- Integration requirements with existing AWS Deadline Cloud job submission tools
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <3.15,>=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesboto3psutilpywin32typing-extensionsxxhash |
| Maintenance | Actively maintained 30 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 91,366 / month, #13,518 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: PythonProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries |
Evidence: deadline_job_attachments-0.1.3-py3-none-any.whl
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See also deadline-cloud-test-fixtures · ibm-cos-sdk-s3transfer · s3transfer · s3fs · git-remote-s3 · s3cmd · minio · fs-s3fs · aws-cdk.aws-s3 · synapse-s3-storage-provider