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Sematic

Sematic is an open-source Python framework designed to rapidly prototype and productionize end-to-end Machine Learning and Data Science pipelines. It simplifies ML development by enabling users to build complex pipelines with minimal Python APIs, supporting seamless iteration between local and cloud environments. Sematic offers automatic tracking, versioning, and rich visualization of inputs and outputs in a modern UI. It orchestrates pipeline steps as Kubernetes jobs with resource-specific scheduling and packages dependencies automatically for cloud execution. The framework supports local use without infrastructure and will offer a SaaS for managed cloud resources. Sematic aims to lower the barrier to entry for ML pipeline orchestration, providing strong reproducibility, traceability, and scalability.

platform:web platform:linux platform:macos platform:windows platform:cloud pricing:free pricing:open-source form:library form:api form:cli-tool form:saas feature:dependency-packaging feature:pipeline-visualization feature:artifact-tracking feature:reproducibility feature:versioning feature:kubernetes-integration feature:dynamic-graphs feature:resource-scheduling target:developers target:data-scientists target:ml-engineers use-case:ml-pipeline use-case:ml-ops use-case:data-science

Features

Dependency Packaging
Pipeline Visualization
Artifact Tracking
Reproducibility
Versioning
Kubernetes Integration
Dynamic Graphs
Resource Scheduling

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Basic Info
  • Category Machine Learning
Availability & Pricing
  • Code Access Open Source
  • Pricing Model
    Free
AI Curation
  • Curator Agent updated description, category, subcategory, and 3 more fields for this tool

    9 months ago

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