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3 Repos

Awesome GitHub RepositoriesData Project Deployments

Tools for publishing data-centric outputs like reports, interactive applications, and APIs to hosting services.

Distinct from Self-Hosted API Deployments: Existing candidates focus on generic API or shared hosting; this is specifically for data science project outputs.

Explore 3 awesome GitHub repositories matching devops & infrastructure · Data Project Deployments. Refine with filters or upvote what's useful.

Awesome Data Project Deployments GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • materializeinc/materializeAvatar von MaterializeInc

    MaterializeInc/materialize

    6,314Auf GitHub ansehen↗

    Materialize is a streaming SQL database that continuously ingests live data from sources such as Kafka, Redpanda, PostgreSQL, and MySQL, and incrementally maintains materialized views. It provides a PostgreSQL-compatible query engine that accepts standard SQL over the PostgreSQL wire protocol, enabling any existing SQL client or BI tool to query real-time data. The system also includes a Model Context Protocol (MCP) server that exposes live materialized view data to AI agents, providing fresh context without polling. Materialize distinguishes itself through its ability to offer configurable c

    Compiles, tests, and deploys declarative SQL projects to a database environment.

    Rust
    Auf GitHub ansehen↗6,314
  • posit-dev/positronAvatar von posit-dev

    posit-dev/positron

    3,969Auf GitHub ansehen↗

    Positron is a data science integrated development environment and AI-powered code editor designed for polyglot development, specifically supporting Python and R. It functions as a remote compute workspace that separates the user interface from the execution kernel via SSH or container integration. The environment features a deep integration of large language models that provide context-aware suggestions and automated data analysis by accessing real-time interpreter state, in-memory objects, and plot outputs. It distinguishes itself through a polyglot runtime bridge that enables cross-language

    Publishes data science reports, interactive applications, and APIs to external hosting services.

    TypeScript
    Auf GitHub ansehen↗3,969
  • datalinkdc/dinkyAvatar von DataLinkDC

    DataLinkDC/dinky

    3,740Auf GitHub ansehen↗

    Dinky is a real-time data platform for developing, deploying, and operating streaming applications based on Apache Flink. It functions as a SQL streaming IDE and a real-time data pipeline orchestrator, providing a web-based environment for writing and verifying queries with integrated logic plan visualization and lineage tracking. The platform acts as a distributed cluster manager, allowing the registration, monitoring, and administration of multiple processing clusters from a centralized interface. It also serves as a change data capture integration tool, synchronizing real-time database cha

    Deploys declarative SQL projects and tasks across diverse environments and session modes.

    Javadatalakedatawarehouseflink
    Auf GitHub ansehen↗3,740
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  • SQL Project DeploymentsCompiles, tests, and deploys declarative SQL projects to a database environment. **Distinct from Data Project Deployments:** Distinct from Data Project Deployments: focuses on deploying SQL schema and view definitions, not data science outputs like reports or APIs.