Modal
e2b
Zerve AI
Cerebrium
dat1.co
Daytona
Hugging Face
Yamify.co
CouchBase
MongoDB
Redis
ArangoDB
CouchDB
Apache Cassandra
OrientDB
Azure Cosmos DB
Modal
CouchBaseBased on our record, Modal seems to be a lot more popular than CouchBase. While we know about 45 links to Modal, we've tracked only 3 mentions of CouchBase. 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.
If you've used E2B, Daytona, Modal sandboxes, or Cloudflare Sandboxes, the shape is familiar: REST API, Python and JS SDKs, exec / files / snapshot primitives. Here's what the Python SDK looks like:. - Source: dev.to / about 2 months ago
The supported environments include your local machine, Docker containers, remote SSH servers, and two serverless options called Daytona and Modal. Daytona and Modal are the interesting ones for beginners as they handle all the infrastructure for you, and you only pay for compute when Hermes is actively doing something. - Source: dev.to / 3 months ago
TL;DR: If you just need to ship fast, E2B has the best SDK experience. If you need the fastest cold starts, Blaxel wins at 25ms. For GPU workloads, Modal is unmatched. For self-hosted control, Daytona is open-source with a managed option. For persistent long-running sessions, Fly.io Sprites gives you 100GB NVMe per sandbox. - Source: dev.to / 4 months ago
* dramatically increasing inference throughput on [modal.com](http://modal.com) meant I could generate 10s of thousands of tiles in a few hours at very little cost, allowing me to experiment much more rapidly This project continues to be a lot of fun, but Iโm now mostly focusing on the agentic workflows that power this kind of ambitious generation at scale. Canโt wait to share more soon. - Source: Hacker News / 4 months ago
Thanks for sharing this interesting project and approach! One suggestion for improvement: Add some more info to your website/GitHub about the need for a provider and which providers are compatible. It took me a bit to figure that out because there was no prominent info about it. Additionally, none of the demos showed a login or authentication part. To me, it seemed like the VMs just came out of nowhere. So at... - Source: Hacker News / 5 months ago
I used a mix of tools to build this project, each handling a different part of the process. Google ADK helps run the AI agents, Couchbase stores past Kubecon talks data and performs the vector search, and Nebius Embedding model for generating embeddings and LLM models (Example: Qwen) generates summaries and talk abstracts. - Source: dev.to / 12 months ago
It is therefor with great satisfaction we hereby announce that we might sponsor your Open Source project with your own custom AI chatbot built on top of ChatGPT and our AI chatbot technology. To show you an example of how this might look like, consider the following chatbot we've created for CouchBase. - Source: dev.to / about 3 years ago
I think the URL is linked from https://couchbase.com/ or cloud.couchbase.com. Source: over 4 years ago
e2b - Open-Source AI Powered IDE That Does The Work For You
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Zerve AI - What if Jupyter + Figma + VSCode had a baby?
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Cerebrium - Templated Machine learning models you can action back into your workflows
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.