Evidently AI
ML Showcase
Censius.ai
iko.ai
ML5.js
Lobe
Amazon Machine Learning
Machine Learning Playground
BuildShip
Fastgen
Xano
Zapier
n8n.io
Rowy
StaticBackend
Codigrade
Create APIs, scheduled jobs, backend workflows, database CRUD - basically anything you need for your app's backend with BuildShip easily.
Start fast with templates or prebuilt nodes for popular tools, databases, but if anything is missing you can actually create a workflow node using AI by simply asking what you want. Every node is fully editable with AI and code.
Get the EASE of no-code with the POWER of low-code, if needed. Works with all the popular nocode frontend builders like FlutterFlow, Bubble, Webflow, Toddle, BravoStudio, Framer .....
Evidently AI BuildShipBuildShip's answer:
You can generate you own workflow nodes, edit the logic of prebuilt nodes, use AI assistant while building workflows. Ship scalably and affordably.
BuildShip's answer:
Flexible and extensible to build your logic the way you want. Don't be black boxed by the platform to limit your ideas.
If you're working on your next big project and you want to save some of your precious time when integrating with third party services such as Twilio, OpenAI, Replicate, Stripe, and much, much more, then BuildShip is the obvious solution. Can't find an integration? That's easy, just generate it with AI.
This is truly a big leap in backend development, from building your backend in hours... to mere minutes! Super easy to use. It's incredibly user-friendly, offering a coding-like experience with the ease of customization in a no-code format! 🚀
Easy to integrate with any AI model, popular tools - makes building and automating backend tasks a breeze.
Based on our record, Evidently AI should be more popular than BuildShip. It has been mentiond 2 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.
It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: almost 2 years ago
Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 2 years ago
Today, we will show you exactly how to build this BuildShip's ready-made template for a quick start. BuildShip is a low-code visual backend builder powered by AI that lets you build a seemingly complex backend with ease. This template comes with prebuilt steps for removing background from an image, converting the image to black-and-white, and then uploading it to storage for use in the illusion diffusion model... - Source: dev.to / 8 months ago
ML Showcase - A curated collection of machine learning projects
Fastgen - Build scalable backends and automations
Censius.ai - Building the future of MLOps
Xano - Xano is the fastest way to build a scalable backend for your App using No Code.
iko.ai - Real-time collaborative notebooks on your own Kubernetes clusters to train, track, package, deploy, and monitor your machine learning models.
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.