Deployment.io
Harness
Jenkins
Render UIKit
GitHub Actions
Heroku
Vercel
Section.io
LangChain
Hugging Face
Haystack NLP Framework
MiniGPT-4
Replika
Humanloop
StableLM
Vercel AI SDK
Deployment simplifies continuous code integration and delivery automation for startups and agile engineering teams on the AWS cloud, eliminating the need for DevOps engineering. A developer can deploy static sites, web services, and environments without knowledge of AWS or DevOps. Deployment supports previews on pull requests and automatic deployments on code push without manual setup or scripting. It enables engineering teams to focus on tasks that add customer value instead of worrying about DevOps-related grunt work.
Deployment.io LangChainNo features have been listed yet.
Deployment.io's answer
I led engineering teams at early-stage startups and realized that startups waste 70% of valuable engineering time on tedious, non-coding tasks that they can easily automate.
To solve this problem, we've built Deployment.io so engineering teams at startups can focus on writing more code that adds value and helps them achieve PMF faster.
Deployment.io's answer
ReactJs using Typescript, GatsbyJs using Typescript, GoLang, and AWS
Deployment.io's answer
Deployment.io is built and designed for startups. Our customers can onboard in 5 minutes and start deploying apps to AWS without any DevOps or AWS knowledge. Other platforms are complex and require scripting or DevOps knowledge. They are built for bigger companies with a lot of resources.
Deployment.io's answer
Startups and agile engineering teams should choose Deployment.io for the simplicity and ease of use. Our competitors are complex and are designed for bigger companies.
Deployment.io's answer
For startups, speed and focus are crucial. Our primary audience is engineering teams at startups that want to focus on building code that adds value and not on DevOps related grunt work.
Deploying web apps on AWS has never been this easy and it also takes care of scaling based on usage.
Based on our record, LangChain seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Undoubtedly, LangChain is the most popular framework for AI application development at the moment. The advent of LangChain has greatly simplified the construction of AI applications based on Large Language Models (LLM). If we compare an AI application to a person, the LLM would be the "brain," while LangChain acts as the "limbs" by providing various tools and abstractions. Combined, they enable the creation of AI... - Source: dev.to / about 1 month ago
Developed using Langchain and Streamlit technologies for enhanced performance. - Source: dev.to / 3 months ago
LangChain was first released in October 2022 as an open-source side project, a framework that makes developing AI applications more flexible. It got so popular that it was promptly turned into a startup. - Source: dev.to / 4 months ago
Being able to plug third party frameworks (Langchain, LlamaIndex) so you can build complex projects. - Source: dev.to / 6 months ago
Harness - Automated Tests For Your Web App
Hugging Face - The Tamagotchi powered by Artificial Intelligence 🤗
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.
Render UIKit - React-inspired Swift library for writing UIKit UIs
MiniGPT-4 - Minigpt-4