TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #14994 · Jul 24
#typescript#accounting#book_keeping#desktop#double_entry_accounting#electron#frappe#inventory_management#invoicing#javascript#offline#open_source#point_of_sale#vuejs Frappe Books is a free, open-source accounting software designed to make managing your business finances simple and efficient. It works on Windows, Mac, and Linux, and you can use it offline since it stores data locally on your computer. It offers easy invoicing with customizable templates, tracks payments, and provides important financial reports like profit and loss, balance sheets, and trial balances. The software has a clean, user-friendly interface and features like a dashboard for quick financial insights and a point-of-sale system for retail. This helps you save time, stay organized, and make smarter business decisions without complex tools or extra costs[1][3][4]. https://github.com/frappe/books
Search: #runtime
@golang · Post #58 · 04/22/2018, 08:22 PM
Why are goroutines not lightweight threads? Kartik Khare shows us his meaning about goroutines, lightweight threads and their difference in GoLang. There are no code examples inside but good thoughts about parallelism, threads and useful links at the end of the article :) #development#runtime#language https://codeburst.io/why-goroutines-are-not-lightweight-threads-7c460c1f155f
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@golang · Post #64 · 06/21/2018, 04:17 PM
Hi there! Which ways do you use to avoid memory leaks for REST API? In the following article by Iman Tumorang describes an excellent example of memory leaks, his solution, and results. Must have to read for everyone 😉 #development#runtime#architecture https://hackernoon.com/avoiding-memory-leak-in-golang-api-1843ef45fca8
@githubtrending · Post #15382 · 01/01/2026, 12:30 PM
#jupyter_notebook#agent#agentic_ai#agents#authentication#bedrock#core#gateway#identity_management#memory_management#production_code#runtime Amazon Bedrock AgentCore lets you build, deploy, and run AI agents securely at scale with any framework like CrewAI or LangGraph and any model, without managing complex infrastructure. It offers serverless runtime for long tasks up to 8 hours, gateway to connect tools like Slack or APIs easily, memory for personalized experiences, identity management, built-in code interpreter and browser tools, plus observability. This saves time by skipping heavy setup, speeds prototypes to production, cuts costs with pay-per-use, and boosts security—helping you create powerful agents faster for real business needs. https://github.com/awslabs/amazon-bedrock-agentcore-samples