Showing 5 open source projects for "telegram-bot-api"

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  • 1
    Graphcool Framework

    Graphcool Framework

    Graphcool is an open-source backend development framework

    ...It acts as a “backend-as-a-service / framework” that lets you define your data model via GraphQL SDL (Schema Definition Language), and in turn generates a GraphQL CRUD API, supports nested mutations, filtering, pagination, and real-time subscriptions. Graphcool separates the business logic from stateful storage components, allowing the stateful parts (database, subscription engine) to scale independently and giving flexibility in how you compose your system. Users could deploy Graphcool either locally (e.g. via Docker) or on a managed cloud offering. ...
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  • 2
    Scalding

    Scalding

    A Scala API for Cascading

    Scalding is a Scala DSL built on Cascading that simplifies writing Hadoop MapReduce jobs. It lets users describe data transformations using Scala’s functional abstractions, while abstracting away low-level Hadoop boilerplate. It enables expressive and testable pipeline definitions and integrates with various input/output formats.
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  • 3
    Summingbird

    Summingbird

    Streaming MapReduce with Scalding and Storm

    Summingbird is a streaming + batch hybrid computation framework developed by Twitter. Its aim is to let developers express data aggregation pipelines in a unified way, where the same logic can run either in real time (stream) or in batch mode, and the results can be merged or reconciled. In effect, Summingbird abstracts over multiple execution engines (such as Storm, Scalding, etc.) to provide one high-level program that composes transformations and aggregations, and then executes them in...
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  • 4
    The asyncobjects framework is intendend for implementing event-driven network applications. It provides higher level API if compared with Java NIO. Initial code is based asyncobjects prototype from sebyla.sf.net project.
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  • 5
    Java OpenCL Process Virtual Machine. Spring IoC based framework for complex data analysis with OpenCL computing.
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