|about 18 hours ago||4 days ago|
|MIT License||Apache License 2.0|
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Flask is Great!
2 projects | reddit.com/r/flask | 4 Feb 2023
only having 1 maintainer
Deploy a dockerized FastAPI application to AWS
2 projects | dev.to | 3 Feb 2023
From the official docs:
From local development to Kubernetes — Cluster, Helm, HTTPS, CI/CD, GitOps, Kustomize, ArgoCD — Part
5 projects | dev.to | 2 Feb 2023
To save time here, I have prepared a basic Python application developed on FastAPI and if you want to follow along you can get the code from GitHub Repository here.
Getting Started with Fast-Api 🏎️ and Docker🐳
11 projects | dev.to | 2 Feb 2023
This repository contains code for asynchronous example api using the Fast Api framework ,Uvicorn server and Postgres Database to perform crud operations on notes.
Kenapa harus FastAPI?
2 projects | dev.to | 2 Feb 2023
Diario de Python | #4. Probando FastAPI para desarrollar APIs
3 projects | dev.to | 30 Jan 2023
How can I build a web server application that can receive and process incoming packets?
2 projects | reddit.com/r/learnpython | 30 Jan 2023
That sounds like the perfect job for our open-source lib NiceGUI. It is an UI framework on top of FastAPI. That means you can easily setup HTTPS POST endpoints to save the incoming data to a file or database. With very little effort you can also create your webpage which reads the data and displays it.
FastAPI common response wrappers
2 projects | reddit.com/r/FastAPI | 28 Jan 2023
This package extends the FastAPI response model schema allowing you to have a common response wrapper via a fastapi.routing.APIRoute.
Building web-based SaaS with Go as a solo entrepreneur. What should I be aware of?
13 projects | reddit.com/r/golang | 23 Jan 2023
fully type-annotated options for building an API are available - one popular option is FastAPI and everything you expose is declared through pydantic. There is nothing as productive in Go I'm afraid.
Diario de Python | #2. Mi propio plan Full Stack
3 projects | dev.to | 19 Jan 2023
Ask HN: Who is hiring? (November 2022)
20 projects | news.ycombinator.com | 1 Nov 2022
[D] How to get the fastest PyTorch inference and what is the "best" model serving framework?
8 projects | reddit.com/r/MachineLearning | 28 Oct 2022
For 2), I am aware of a few options. Triton inference server is an obvious one as is the ‘transformer-deploy’ version from LDS. My only reservation here is that they require the model compilation or are architecture specific. I am aware of others like Bento, Ray serving and TorchServe. Ideally I would have something that allows any (PyTorch model) to be used without the extra compilation effort (or at least optionally) and has some convenience things like ease of use, easy to deploy, easy to host multiple models and can perform some dynamic batching. Anyway, I am really interested to hear people's experience here as I know there are now quite a few options! Any help is appreciated! Disclaimer - I have no affiliation or are connected in any way with the libraries or companies listed here. These are just the ones I know of. Thanks in advance.
PostgresML is 8-40x faster than Python HTTP microservices
5 projects | news.ycombinator.com | 19 Oct 2022
Show HN: Truss – serve any ML model, anywhere, without boilerplate code
2 projects | news.ycombinator.com | 29 Jul 2022
In this category I’m a big fan of https://github.com/bentoml/BentoML
What I like about it is their idiomatic developer experience. It reminds me of other Pythonic frameworks like Flask and Django in a good way.
I have no affiliation with them whatsoever, just an admirer.
[P] Introducing BentoML 1.0 - A faster way to ship your models to production
2 projects | reddit.com/r/MachineLearning | 13 Jul 2022
Github Page: https://github.com/bentoml/BentoML
Show HN: Bentoctl – An open-source Terraform deployment tool for ML
3 projects | news.ycombinator.com | 30 Jun 2022
Elastic License 2: https://github.com/bentoml/bentoctl/blob/v0.3.1/LICENSE.md which also applies to their Yatai kubernetes thing, but strangely not (yet?) to the similarly named repo which is Apache-2: https://github.com/bentoml/BentoML/blob/main/LICENSE
How to Build a Machine Learning Demo in 2022
7 projects | dev.to | 16 Jan 2022
Using a general-purpose framework such as FastAPI involves writing a lot of boilerplate code just to get your API endpoint up and running. If deploying a model for a demo is the only thing you are interested in and you do not mind losing some flexibility, you might want to use a specialized serving framework instead. One example is BentoML, which will allow you to get an optimized serving endpoint for your model up and running much faster and with less overhead than a generic web framework. Framework-specific serving solutions such as Tensorflow Serving and TorchServe typically offer optimized performance but can only be used to serve models trained using Tensorflow or PyTorch, respectively.
MLH, Open Source, Mapillary & Me
7 projects | dev.to | 31 Aug 2021
BentoML - BentoML is a flexible, high-performance framework for serving, managing, and deploying machine learning models.
Why do so many people think Python is easier to productionize than R?
2 projects | reddit.com/r/datascience | 4 Apr 2021
Also mlflow is not that optimized because it doesnt microbatch like torchserve/tfserving/bentoml. https://github.com/bentoml/BentoML/tree/master/benchmark
Ask HN: Who is hiring? (April 2021)
21 projects | news.ycombinator.com | 1 Apr 2021
BentoML.ai | ML Engineer, Backend Engineer | Full-time | Bay Area or Remote | Python, Kubernetes, MLOps platform, Data Infra, Tensorflow, PyTorch, etc
BentoML is an open-source framework for machine learning model serving & deployment https://github.com/bentoml/BentoML
We are a venture backed startup behind the BentoML open source project, and we are looking for engineers who are passionate about building Open Source, MLOps, ML Platform or developer tools. Email [ chaoyu at bentoml.ai] if you are interested.
Job descriptions: https://angel.co/company/bentoml
What are some alternatives?
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Flask - The Python micro framework for building web applications.
Django - The Web framework for perfectionists with deadlines.
vibora - Fast, asynchronous and elegant Python web framework.
django-rest-framework - Web APIs for Django. 🎸
starlette - The little ASGI framework that shines. 🌟
sanic - Next generation Python web server/framework | Build fast. Run fast.
flask-restx - Fork of Flask-RESTPlus: Fully featured framework for fast, easy and documented API development with Flask