Modal
e2b
Daytona
Zerve AI
Hugging Face
Cerebrium
Replicate.com
DigitalOcean
Ploomber
Zerve AI
Conduit
Modelbit
Kangas
Streamlit
Hugging Face
Encord Active
Modal PloomberBased on our record, Modal should be more popular than Ploomber. It has been mentiond 46 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.
The included Modal adapter implements remote submission, status, ordered events, result retrieval, resume, and cancellation. Docker and Modal Sandboxes implement the runtime's native sandbox contract for isolated code execution and generated artifacts. - Source: dev.to / 17 days ago
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 / 3 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 / 4 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 / 5 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 / 6 months ago
- One-click sharing powered by Ploomber Cloud: https://ploomber.io Note that JupySQL is a fork of ipython-sql; which is no longer actively developed. Catherine, ipython-sql's creator, was kind enough to pass the project to us (check out ipython-sql's README). We'd love to learn what you think and what features we can ship for JupySQL to be the best SQL client! Please let us know in the comments! - Source: Hacker News / over 2 years ago
Developing end-to-end data science infrastructure can get complex. For example, many of us might have struggled to try to integrate AWS services and deal with configuration, permissions, etc. At Ploomber, weโve worked with many companies in a wide range of industries, such as energy, entertainment, computational chemistry, and genomics, so we are constantly looking for simple solutions to get them started with... Source: almost 4 years ago
If you like working locally with notebooks, you can run via the free tier of ploomber, that'll allow you to get the Ram/Compute you need for the bigger models as part of the free tier. Also, it has the historical executions so you don't need to remember what you executed an hour later! Source: almost 4 years ago
That's what we do for lineage with https://ploomber.io/. Source: almost 4 years ago
NBClient supports running notebooks via CLI for the most basic use cases. However, for more sophisticated execution options, consider the Ploomber! - Source: dev.to / about 4 years ago
e2b - Open-Source AI Powered IDE That Does The Work For You
Zerve AI - What if Jupyter + Figma + VSCode had a baby?
Daytona - Daytona is the enterprise-grade Codespaces alternative for managing self-hosted, secure and standardized development environments.
Conduit - Your data-driven AI chief of staff
Modelbit - Heroku for Data Science, from the founders of Periscope Data
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.