Python Asgi-correlation-id Resources

Starlite Starlite is a light and flexible ASGI API framework. Using Starlette and pydantic as foundations. Check out the Starlite documentation 📚 Cor

SQLAlchemy Admin for Starlette/FastAPI SQLAdmin is a flexible Admin interface for SQLAlchemy models. Main features include: SQLAlchemy sync/async engi

Dual-task Pose Transformer Network The source code for our paper "Exploring Dual-task Correlation for Pose Guided Person Image Generation“ (CVPR2022)

One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning (AAAI 2022) Paper | Demo Requirements Python = 3.6 , Pytorch

Redis-based rate-limiting for FastAPI

Code for CCA-SSG model proposed in the NeurIPS 2021 paper From Canonical Correlation Analysis to Self-supervised Graph Neural Networks.

A Numba-based two-point correlation function (2PCF) calculator using a grid decomposition. Like Corrfunc, but written in Numba, with simplicity and hackability in mind.

Overview Code and supplemental materials for Karduni et al., 2020 IEEE Vis. "A Bayesian cognition approach for belief updating of correlation judgemen

SSIDprobeCollector An ML & Correlation platform for transforming disparate data points of interest into usable intelligence. At a High level the platf

CorrNet This project provides the code and results for 'Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation'

scikit-event-correlation Event Correlation and Changing Detection Algorithm Theo

ECLARE ECLARE: Extreme Classification with Label Graph Correlations @InProceedings{Mittal21b, author = "Mittal, A. and Sachdeva, N. and Agrawal

Introduction xpresso is an ASGI web framework built on top of Starlette, Pydantic and di, with heavy inspiration from FastAPI. Some of the standout fe

Neighbourhood Retrieval with Distance Correlation Assign Pseudo class labels to datapoints in the latent space. NNDC is a slim wrapper around FAISS. N

Denoising images with Fourier Ring Correlation loss The python code accompanies the working manuscript Image quality measurements and denoising using

Correlation-Study-Climate-Change-EV-Adoption Data Analytics: Modeling and Studying data relating to climate change and adoption of electric vehicles I

metrics-advisor Analyze reshaped metrics from TiDB cluster Prometheus and give some advice about anomalies and correlation. Team freedeaths mashenjun

Starlite Starlite is a light, opinionated and flexible ASGI API framework built on top of pydantic and Starlette. Check out the Starlite documentation

Piccolo Admin Piccolo Admin provides a simple yet powerful admin interface on top of Piccolo tables - allowing you to easily add / edit / filter your

FastAPI Zeit Now Deploy a FastAPI app as a Zeit Serverless Function. This repo deploys the FastAPI SQL Databases Tutorial to demonstrate how a FastAPI

Mailer Dead-simple mailer micro-service for static websites A free and open-source software alternative to contact form services such as FormSpree, to

UX Analytics & A/B Testing

🚢 inboard 🐳 Docker images and utilities to power your Python APIs and help you ship faster. Description This repository provides Docker images and a

xMCA | Maximum Covariance Analysis in Python The aim of this package is to provide a flexible tool for the climate science community to perform Maximu

Dual Correlation Reduction Network An official source code for paper Deep Graph Clustering via Dual Correlation Reduction, accepted by AAAI 2022. Any

Surrogate-based cross-correlation (SBCC) This repository contains code for the submitted paper Surrogate-based cross-correlation for particle image ve

asgi-lifespan Programmatically send startup/shutdown lifespan events into ASGI applications. When used in combination with an ASGI-capable HTTP client

Easy and secure implementation of Azure AD for your FastAPI APIs 🔒 Single- and multi-tenant support.

A small ASGI web framework that you can make asynchronous web applications using uvicorn with using few lines of code

Pytorch Correlation module this is a custom C++/Cuda implementation of Correlation module, used e.g. in FlowNetC This tutorial was used as a basis for

Idempotency Header ASGI Middleware A middleware for making POST and PATCH endpoints idempotent. The purpose of the middleware is to guarantee that exe

Douglas-Quaid Project Open source software for image correlation, distance and analysis. Strongly related to : Carl-Hauser Problem statement (@CIRCL)

ORCCA Optimal Randomized Canonical Correlation Analysis This project is for the python version of ORCCA algorithm. It depends on Numpy for matrix calc

dcor dcor: distance correlation and related E-statistics in Python. E-statistics are functions of distances between statistical observations in metric

edaSQL is a python library to bridge the SQL with Exploratory Data Analysis where you can connect to the Database and insert the queries. The query results can be passed to the EDA tool which can give greater insights to the user.

DIC Video Exporter DICexport is a GUI (PyQt5) to export digital image correlation videos. It offers the flexibility to choose a selected range of a vi

Autoformer (NeurIPS 2021) Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Time series forecasting is a c

ASGI Correlation ID middleware Middleware for loading and receiving correlation IDs from request HTTP headers, and making them available in applicatio

Django GUID Now with ASGI support! Django GUID attaches a unique correlation ID/request ID to all your log outputs for every request. In other words,

ArcSight Integration with TheHive And now, for the first time, you can send alerts via action from ArcSight ESM Console to the TheHive when Correlatio

中文 | English 一个易用的高性能异步 web 框架。 Index.py 文档 Index.py 实现了 ASGI3 接口，并使用 Radix Tree 进行路由查找。是最快的 Python web 框架之一。一切特性都服务于快速开发高性能的 Web 服务。 大量正确的类型注释 灵活且高效的

NanoASGI Asynchronous Python Web Framework NanoASGI is a fast ⚡ , simple and light 💡 weight ASGI micro 🔬 web 🌏 -framework for Python 🐍 . It is dis

Easy and secure implementation of Azure AD for your FastAPI APIs 🔒 Single- and multi-tenant support.

BitcartCC is a platform for merchants, users and developers which offers easy setup and use.

Speaker-Embeddings-Correlation-Pooling This is the original implementation of the pooling method introduced in "Speaker embeddings by modeling channel

FastAPI-Azure-auth Azure AD Authentication for FastAPI apps made easy. 🚀 Description FastAPI is a modern, fast (high-performance), web framework for

Extreme Rotation Estimation using Dense Correlation Volumes This repository contains a PyTorch implementation of the paper: Extreme Rotation Estimatio

A fast, user friendly ORM and query builder which supports asyncio.

PHASER: A Robust and Correspondence-Free Global Pointcloud Registration Ubuntu 18.04+ROS Melodic: Overview Pointcloud registration using correspondenc

Deep CORAL A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation. B Sun, K Saenko, ECCV 2016' Deep CORAL can learn

Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion Code for Multi-Temporal Scene Classification and Scene Ch

Cobalt Strike C2 Reverse proxy that fends off Blue Teams, AVs, EDRs, scanners through packet inspection and malleable profile correlation

PV-RAFT This repository contains the PyTorch implementation for paper "PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clou

Django GUID Now with ASGI support! Django GUID attaches a unique correlation ID/request ID to all your log outputs for every request. In other words,

✨ The little ASGI framework that shines. ✨ Documentation: https://www.starlette.io/ Community: https://discuss.encode.io/c/starlette Starlette Starlet

CorNet Correlation Networks for Extreme Multi-label Text Classification Prerequisites python==3.6.3 pytorch==1.2.0 torchgpipe==0.0.5 click==7.0 ruamel

An easy-to-use high-performance asynchronous web framework.

skggm : Gaussian graphical models using the scikit-learn API In the last decade, learning networks that encode conditional independence relationships

Datasette An open source multi-tool for exploring and publishing data Datasette is a tool for exploring and publishing data. It helps people take data

skggm : Gaussian graphical models using the scikit-learn API In the last decade, learning networks that encode conditional independence relationships

luminol Overview Luminol is a light weight python library for time series data analysis. The two major functionalities it supports are anomaly detecti

A Python library that helps data scientists to infer causation rather than observing correlation.

SlowApi A rate limiting library for Starlette and FastAPI adapted from flask-limiter. Note: this is alpha quality code still, the API may change, and

Piccolo API Utilities for easily exposing Piccolo models as REST endpoints in ASGI apps, such as Starlette and FastAPI. Includes a bunch of useful ASG

Description JSON-RPC server based on fastapi: https://fastapi.tiangolo.com Motivation Autogenerated OpenAPI and Swagger (thanks to fastapi) for JSON-R

django-fastapi-example This is an experiment to demonstrate one potential way of running FastAPI with Django. It won't be actively maintained. If you'

ASGI Server-Timing middleware An ASGI middleware that wraps the excellent yappi profiler to let you measure the execution time of any function or coro

Supported tags and respective Dockerfile links python3.8, latest (Dockerfile) python3.7, (Dockerfile) python3.6 (Dockerfile) python3.8-slim (Dockerfil

msgpack-asgi msgpack-asgi allows you to add automatic MessagePack content negotiation to ASGI applications (Starlette, FastAPI, Quart, etc.), with a s

Starlette Prometheus Introduction Prometheus integration for Starlette. Requirements Python 3.6+ Starlette 0.9+ Installation $ pip install starlette-p

starlette_exporter Prometheus exporter for Starlette and FastAPI. The middleware collects basic metrics: Counter: starlette_requests_total Histogram:

starlette context Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automat

SlowApi A rate limiting library for Starlette and FastAPI adapted from flask-limiter. Note: this is alpha quality code still, the API may change, and

Prerender Python Starlette Starlette middleware for Prerender Documentation: https://BeeMyDesk.github.io/prerender-python-starlette/ Source Code: http

Starlette Prometheus Introduction Prometheus integration for Starlette. Requirements Python 3.6+ Starlette 0.9+ Installation $ pip install starlette-p

starlette context Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automat

Prerender Python Starlette Starlette middleware for Prerender Documentation: https://BeeMyDesk.github.io/prerender-python-starlette/ Source Code: http

Yappi Yet Another Python Profiler, but this time thread&coroutine&greenlet aware. Highlights Fast: Yappi is fast. It is completely written in C and lo

SlowApi A rate limiting library for Starlette and FastAPI adapted from flask-limiter. Note: this is alpha quality code still, the API may change, and

starlette_exporter Prometheus exporter for Starlette and FastAPI. The middleware collects basic metrics: Counter: starlette_requests_total Histogram:

Starlette Prometheus Introduction Prometheus integration for Starlette. Requirements Python 3.6+ Starlette 0.9+ Installation $ pip install starlette-p

timing-asgi This is a timing middleware for ASGI, useful for automatic instrumentation of ASGI endpoints. This was developed at GRID for use with our

starlette context Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automat

async-asgi-testclient Async ASGI TestClient is a library for testing web applications that implements ASGI specification (version 2 and 3). The motiva

tartiflette-asgi is a wrapper that provides ASGI support for the Tartiflette Python GraphQL engine. It is ideal for serving a GraphQL API over HTTP, o

Strawberry GraphQL Python GraphQL library based on dataclasses Installation ( Quick Start ) The quick start method provides a server and CLI to get go

Ariadne Ariadne is a Python library for implementing GraphQL servers. Schema-first: Ariadne enables Python developers to use schema-first approach to

Mangum Mangum is an adapter for using ASGI applications with AWS Lambda & API Gateway. It is intended to provide an easy-to-use, configurable wrapper

Hypercorn Hypercorn is an ASGI web server based on the sans-io hyper, h11, h2, and wsproto libraries and inspired by Gunicorn. Hypercorn supports HTTP

asgiref ASGI is a standard for Python asynchronous web apps and servers to communicate with each other, and positioned as an asynchronous successor to

The lightning-fast ASGI server. Documentation: https://www.uvicorn.org Community: https://discuss.encode.io/c/uvicorn Requirements: Python 3.6+ (For P

Emmett is a full-stack Python web framework designed with simplicity in mind. The aim of Emmett is to be clearly understandable, easy to be learned an

Quart Quart is an async Python web microframework. Using Quart you can, render and serve HTML templates, write (RESTful) JSON APIs, serve WebSockets,

Sanic | Build fast. Run fast. Build Docs Package Support Stats Sanic is a Python 3.6+ web server and web framework that's written to go fast. It allow

Sanic | Build fast. Run fast. Build Docs Package Support Stats Sanic is a Python 3.6+ web server and web framework that's written to go fast. It allow

tartiflette-asgi is a wrapper that provides ASGI support for the Tartiflette Python GraphQL engine. It is ideal for serving a GraphQL API over HTTP, o

The lightning-fast ASGI server. Documentation: https://www.uvicorn.org Community: https://discuss.encode.io/c/uvicorn Requirements: Python 3.6+ (For P

✨ The little ASGI framework that shines. ✨ Documentation: https://www.starlette.io/ Community: https://discuss.encode.io/c/starlette Starlette Starlet

Sanic | Build fast. Run fast. Build Docs Package Support Stats Sanic is a Python 3.6+ web server and web framework that's written to go fast. It allow