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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

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • materializeinc/materializeMaterializeInc का अवतार

    MaterializeInc/materialize

    6,314GitHub पर देखें↗

    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
    GitHub पर देखें↗6,314
  • posit-dev/positronposit-dev का अवतार

    posit-dev/positron

    3,969GitHub पर देखें↗

    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
    GitHub पर देखें↗3,969
  • datalinkdc/dinkyDataLinkDC का अवतार

    DataLinkDC/dinky

    3,740GitHub पर देखें↗

    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
    GitHub पर देखें↗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.