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2 dépôts

Awesome GitHub RepositoriesMulti-Trigger Function Executions

Executes integration logic on demand, on a schedule, from external webhooks, or after connection lifecycle events.

Distinct from Execution Schedulers: Distinct from Execution Schedulers: focuses on supporting multiple trigger sources (on-demand, scheduled, webhook, lifecycle) rather than just timing and threading.

Explore 2 awesome GitHub repositories matching software engineering & architecture · Multi-Trigger Function Executions. Refine with filters or upvote what's useful.

Awesome Multi-Trigger Function Executions GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • nangohq/nangoAvatar de NangoHQ

    NangoHQ/nango

    10,772Voir sur GitHub↗

    Nango is an open-source platform that connects applications to external APIs by managing authentication, data synchronization, and custom function execution. It provides a managed runtime for TypeScript integration functions, handling OAuth flows, credential storage, and token refresh for hundreds of external APIs while keeping secrets isolated from application code. The platform distinguishes itself by exposing integration functions as discoverable tools for AI agents through an MCP server or API, with per-user credential isolation that keeps provider secrets out of the agent loop. It offers

    Executes integration functions across multiple trigger types including on-demand, scheduled, and webhook.

    TypeScriptaccess-tokenapiapi-client
    Voir sur GitHub↗10,772
  • inngest/inngestAvatar de inngest

    inngest/inngest

    5,499Voir sur GitHub↗

    Inngest is a durable execution framework and event-driven automation engine designed to orchestrate background workflows. It enables developers to build resilient, stateful processes by memoizing function steps, ensuring that long-running tasks can automatically resume from the last successful operation after failures, timeouts, or infrastructure restarts. The platform distinguishes itself through its event-driven architecture, which uses a schema-validated bus to trigger functions and coordinate complex, multi-step logic. It employs an onion-model middleware approach for cross-cutting concer

    Executes a single background task in response to any of several distinct events or scheduled cron intervals to consolidate related logic.

    Go
    Voir sur GitHub↗5,499
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