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Awesome GitHub RepositoriesExecution Specifications
Documented algorithms and logic requirements for implementing a consistent server execution engine.
Distinct from API Specification Definitions: Focuses on the execution logic of the server rather than the general definition of endpoints.
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Awesome Execution Specifications GitHub Repositories
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- graphql/graphql-spec
graphql/graphql-spec
14,573Vezi pe GitHubThis repository contains the official technical specification for GraphQL. It serves as the formal standard defining the query language, the execution engine, and the schema definition rules required to maintain consistency across different API implementations. The specification establishes a language-agnostic standard for query syntax and semantics, alongside a formal protocol for introspection. It provides the documented algorithms and logic requirements necessary for implementing a consistent server, ensuring that metadata about types and fields can be discovered by automated tools. The p
Provides the documented algorithms and logic requirements for implementing a consistent GraphQL server.
JavaScript - maiot-io/zenml
maiot-io/zenml
5,452Vezi pe GitHubZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself
Persists a fully resolved configuration snapshot at the start of a run to ensure consistent behavior and reproducibility regardless of future environment changes.
Python
