Simple and easy retry mechanism package for Go

A robust, scalable activity queue and worker system for Rust applications with pluggable storage backends.

A highly configurable Go library for rate-limiting, task scheduling, and priority-based execution with retries, backoff, and circuit breaking capabilities.

Multi-paradigm programming in C#

🚀 专为 LLM API 设计的轻量级流量网关 | 并发控制、自动重试，有效避免不规范HTTP状态码的 Rate Limit 限流导致的客户端中断问题。Go 语言实现。

X Engagement Booster for Android Automation to drive engagement, optimize workflows

The system is designed to process user descriptions or inputs related to vintage gaming consoles, such as the Interton Video Computer 4000, and generate structured summaries or specifications. It focu

holiday-narrative-parser processes holiday event narratives to extract themes, tone, and key details for analysis and summarization.

A simple app highlighting how we can implement retry mechanism in Spring Boot

The new package transforms a user’s plain‑text search phrase into a structured, BM25‑ranked list of PostgreSQL search results. It takes the query text as input, forwards it to an LLM that rewrites the

A new package designed to analyze input texts related to global pharmaceutical trends, such as India's role in manufacturing generics, and generate structured summaries or insights. It leverages struc

A resilient email delivery backend system built as part of the PearlThoughts internship challenge.

A library that extends Quartz.NET to provide a seamless job retry mechanism on failures.

text-parsematch processes text input with pattern matching and retries to ensure structured, validated output for data extraction and content categorization.

resilience and fault tolerance library written in kotlin.

Non-blocking Kafka consumer retries with per-key ordering guarantees for Go

A production-grade distributed job queue built from first principles using Node.js and Redis — showcasing scheduling, retries, dead-letter queues, concurrency control, and fault-tolerant worker architecture.

A new package would provide a structured, reliable way to analyze and summarize user-provided text on topics like the simulation hypothesis, using an LLM to generate concise, pattern-validated outputs

A new package is designed to facilitate secure and structured user interactions with language models by analyzing and extracting specific information from user-provided text. It uses pattern matching

📝 Summarize texts effortlessly with simulacra-summarizer, a reliable tool that ensures clear, structured outputs using regex validation.