Serverless batch computing made simple.
-
Updated
May 30, 2024 - TypeScript
Serverless batch computing made simple.
🚀 Performance Decorators: A TypeScript library that simplifies performance tracking and optimization.
HTTP based proxy for accessing BullMQ Queues
An offline desktop app for managing media in a portable database. Features hierarchical tagging with comprehensive search and sorting, automated tag creation / parsing, batch editing and organization, collections / albums, AI facial recognition, Stable Diffusion integration, and built-in media viewers.
A batch manager that will deduplicate and batch requests for a certain data type made within a window. Useful to batch requests made from multiple react components that uses react-query
Parallelized and efficient Node.js support for batch-mode child processes
A script written in typescript that will use ffmpeg in order to split a video file into multiple clips based off of the analysis and detection of a visual scene change. This is very useful for old home video footage that has no scene detection metadata on it.
A CLI-based task runner that utilizes JSON-based configuration and processes tasks sequentially
Javascript library for executing SharePoint REST requests against $batch.
Interval-based micro batching library for TypeScript/JavaScript
Batch processor with Python like syntax
A simple, easy and flexible way to handle multiple request for data while doing it ASYNC
This is a comprehensive solution for real-time football analytics, leveraging Apache Spark execution on yarn for both streaming and batch processing, Hadoop HDFS for distributed storage, Kafka for real-time data ingestion, RethinkDB for live data updates and Next.js for data visualization as well as a custom built search engine.
NestJS project with an example of batch insert and default insert.
AWS Lambda batch processing utilities for TypeScript
🚜 Powerful array manipulation utility for splitting, compacting, and doubling arrays.
This is a logging application built with Node.js, React, Express, and MongoDB for handling and searching logs. The application allows clients to ingest logs and provides an endpoint to search logs based on various criteria.
The arehs is for the best bulk batch processing, which is oriented toward event-driven chunk processing.
To batch-render Markdown strings via GitHub's API (using Octokit/REST). For mitigating GitHub's API's request rate-limit.
Add a description, image, and links to the batch-processing topic page so that developers can more easily learn about it.
To associate your repository with the batch-processing topic, visit your repo's landing page and select "manage topics."