{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/5"},{"label":"Build Tools","url":"https://skillfed.io/packages/category/software-development-build-tools/3"},{"label":"Bio-Informatics","url":"https://skillfed.io/packages/category/scientific-engineering-bio-informatics"}],"enrichment":{"capability":"Latch SDK is a framework for building, containerizing, and deploying bioinformatics workflows to managed cloud infrastructure with automatically generated web interfaces.","skillfed_tags":["bioinformatics","workflow-orchestration","containerization"],"use_cases":["Register and run RNA-seq analysis pipelines with automatic containerization and cloud scheduling.","Build multi-step bioinformatics workflows (alignment, variant calling, annotation) with type-safe task definitions.","Deploy gene-editing or phylogenetics analysis tools as web-accessible applications without writing deployment code.","Scale single-cell analysis or protein engineering workflows across heterogeneous compute resources (CPU, GPU).","Version and share reproducible bioinformatics workflows with collaborators through the Latch platform."],"what_it_does":"Latch SDK is a Python framework built on Flyte that lets you define bioinformatics workflows as Python functions and automatically deploy them to managed cloud infrastructure. It handles containerization, versioning, and resource scheduling (CPU, GPU) while generating web interfaces for workflow execution without additional code. The framework is designed for accessibility\u2014workflows can be registered and run through a web console after a single CLI command\u2014and includes first-class type safety and task-level isolation.\n\nThe SDK targets bioinformaticians and developers building data pipelines for genomics, proteomics, and other life-science domains. It abstracts away Kubernetes orchestration details while providing the scalability and reliability of container-native execution. Workflows are versioned automatically on each registration, and the framework integrates with cloud storage (via boto3) and container registries. The dependency footprint is substantial\u201427 runtime packages including Docker, Kubernetes, and various cloud SDKs\u2014reflecting the complexity of the infrastructure it manages.","worth_installing":"Yes, if you are building bioinformatics workflows and want to avoid Kubernetes and Docker orchestration boilerplate. The active maintenance, low install friction, and zero known vulnerabilities make it safe to adopt. However, the 27 runtime dependencies and requirement for Docker and cloud infrastructure mean this is a substantial commitment\u2014best suited for teams planning to deploy workflows at scale rather than one-off scripts. The unclear license metadata should be clarified with the maintainers before use in proprietary contexts."},"id":"latch","links":{"html":"https://skillfed.io/packages/latch","md":"https://skillfed.io/packages/latch.md","pypi":"https://pypi.org/project/latch/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-31","license_spdx":null,"license_treatment":"unclear","name":"latch","python_support":"supports_current","summary":"The Latch SDK"},"popularity":{"monthly_downloads":216429,"position":9379,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.76.10"}