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4 रिपॉजिटरी

Awesome GitHub RepositoriesAPI Call Batching

Queues multiple concurrent API calls into a single container for efficient batch processing with optional ordering.

Distinct from Query Batching: Distinct from Query Batching: focuses on batching Telegram API calls specifically, not general computational queries.

Explore 4 awesome GitHub repositories matching data & databases · API Call Batching. Refine with filters or upvote what's useful.

Awesome API Call Batching GitHub Repositories

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

    Netflix/Hystrix

    24,461GitHub पर देखें↗

    Hystrix is a latency and fault tolerance library designed to prevent cascading failures in distributed systems. It functions as a circuit breaker implementation that monitors failure thresholds and opens circuits to isolate remote calls when downstream services degrade. The project distinguishes itself by providing multiple isolation mechanisms, utilizing dedicated thread pools and semaphores to ensure that latency in one dependency does not saturate the entire system. It also features a request collapsing and batching engine that groups concurrent calls into single executions to reduce the t

    Runs multiple remote calls concurrently while caching identical requests and collapsing them into a single batch.

    Java
    GitHub पर देखें↗24,461
  • netflix/falcorNetflix का अवतार

    Netflix/falcor

    10,572GitHub पर देखें↗

    Falcor is a JavaScript library that models remote data as a single virtual JSON graph, providing a path-based query engine for efficient client-side data retrieval and updates. It represents multiple remote data sources as a unified document where entities are accessed via globally unique identity paths. The system distinguishes itself by treating the remote data model as a virtual JSON resource, allowing the client to query specific paths without managing individual endpoints. It uses a reference-aware graph model to handle many-to-many relationships and prevents data duplication. Network ef

    Merges multiple concurrent requests within a time window into a single network call to eliminate redundancy.

    JavaScript
    GitHub पर देखें↗10,572
  • obsproject/obs-websocketobsproject का अवतार

    obsproject/obs-websocket

    4,317GitHub पर देखें↗

    obs-websocket is a WebSocket remote control plugin and extension for OBS Studio. It functions as a JSON-RPC network API that allows external devices and applications to manage software settings, scenes, and streaming operations. The project provides a standardized network protocol that enables remote command execution and event-driven state synchronization. It secures these connections using salted-challenge authentication to verify client identity. The interface covers a broad range of production capabilities, including scene and source management, audio level control, and output management

    Provides the ability to group multiple network commands into a single request for efficient execution.

    C++hacktoberfestobs-studioremote-control
    GitHub पर देखें↗4,317
  • danog/madelineprotodanog का अवतार

    danog/MadelineProto

    3,344GitHub पर देखें↗

    MadelineProto is an asynchronous PHP library that provides a programmatic interface for interacting with the Telegram API using the MTProto protocol, the same protocol used by official Telegram clients. It functions as both a Telegram bot SDK and a userbot automation library, enabling PHP applications to connect to Telegram as either a bot account or a regular user account, sending and receiving messages, media, and other data directly without relying on the Bot API intermediary. The library is built on an event-driven architecture with Amp v3 fiber-based concurrency, allowing for non-blockin

    Queues multiple concurrent Telegram API calls into a single container for efficient batch processing.

    PHPamphpasyncbot
    GitHub पर देखें↗3,344
  1. Home
  2. Data & Databases
  3. Batch Processing
  4. Batch Matrix Multiplication Utilities
  5. Query Batching
  6. API Call Batching

सब-टैग एक्सप्लोर करें

  • Collapsing Batch RequestsCombining concurrent identical requests into a single efficient batch call. **Distinct from API Call Batching:** Combines request collapsing (deduplication) with batching (grouping different requests), whereas API Call Batching [f18_mt1] only groups.
  • Request Processing ControlsConfigurable error handling and execution flow for grouped API requests. **Distinct from API Call Batching:** Focuses on the execution logic and error handling of a batch, whereas API Call Batching focuses on the queuing and grouping mechanism.