{"categories":[{"label":"Distributed Computing","url":"https://skillfed.io/packages/category/system-distributed-computing/3"}],"enrichment":{"capability":"Python SDK to create, manage, and automate Lightning AI resources\u2014compute, studios, jobs, deployments, and sandboxes\u2014from scripts and notebooks without leaving your code.","skillfed_tags":["orchestration","ai-infrastructure","automation"],"use_cases":["Automate multi-step ML training pipelines: provision machines, submit jobs, wait for completion, and collect artifacts in a single script.","Deploy containerized services (e.g., nginx, custom APIs) to managed infrastructure and inspect logs without manual portal access.","Create ephemeral or persistent development sandboxes for testing, then snapshot and tear down to control costs.","Integrate Lightning AI resource management into CI/CD workflows to run batch jobs on demand.","Build team automation tools that resolve teamspace scope and manage shared compute resources programmatically."],"what_it_does":"Lightning SDK is a Python client library for the Lightning AI platform that lets you automate resource management and job orchestration from code. It exposes compute, studios, jobs, deployments, and sandboxes as Python objects you can create, configure, monitor, and tear down programmatically\u2014all without switching to a web UI or CLI. The library is built for automation-first workflows: a single script can authenticate, provision a machine, submit a training job, wait for completion, collect results, and clean up.\n\nUnder the hood, it wraps Lightning AI's REST API and provides both a Python API and CLI commands. It depends on 15 runtime packages including fastapi, uvicorn, docker, and websocket-client, suggesting it handles both synchronous and asynchronous operations, container orchestration, and real-time log streaming. It requires Python 3.11 or later and is actively maintained with no known security vulnerabilities.","worth_installing":"Yes, if you use Lightning AI and need to automate resource provisioning and job orchestration from Python. The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it safe to adopt. The 15 runtime dependencies are a consideration if you're sensitive to dependency bloat, but they appear necessary for the full feature set. Not relevant if you don't use Lightning AI or prefer CLI-only interaction."},"id":"lightning-sdk","links":{"html":"https://skillfed.io/packages/lightning-sdk","md":"https://skillfed.io/packages/lightning-sdk.md","pypi":"https://pypi.org/project/lightning-sdk/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"lightning-sdk","python_support":"supports_current","summary":"SDK to develop using Lightning AI Studios"},"popularity":{"monthly_downloads":92709,"position":13431,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2026.8.14"}