TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15244 · Oct 24
#python#airtable#airtable_alternative#airtable_replacement#application_builder#automations#dashboards#database#low_code#no_code#no_code_database#no_code_platform#online_database#postgresql#restful_api#self_hosted#spreadsheet Baserow is a powerful, open-source tool that lets you build databases and applications without coding. It offers full control over your data and environment, allowing self-hosting and customization. Unlike Airtable, Baserow doesn't limit your data storage or API calls, making it ideal for large projects. It combines the ease of a spreadsheet with advanced data management features, including dashboards and automation tools. This gives users complete ownership of their data and avoids vendor lock-in, making it a great choice for businesses needing flexibility and scalability. https://github.com/baserow/baserow
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