Python Performance-monitoring Resources

Poisson Image Editing - A Parallel Implementation Jiayi Weng (jiayiwen), Zixu Chen (zixuc) Poisson Image Editing is a technique that can fuse two imag

Website • Docs • Community Slack 💡 What is NannyML? NannyML is an open-source python library that allows you to estimate post-deployment model perfor

简体中文 | English 项目介绍 FastAPI-Amis-Admin fastapi-amis-admin是一个拥有高性能,高效率,易拓展的fastapi管理后台框架. 启发自Django-Admin,并且拥有不逊色于Django-Admin的强大功能. 源码 · 在线演示 · 文档 · 文

Easy Data Augmentation Implementation This repository contains my Implementation for the paper EDA: Easy Data Augmentation Techniques for Boosting Per

diskspace-monitor-CRUD Background The build system is part of a large environment with a multitude of different components. Many of the components hav

Website • Docs • Blog • LinkedIn • Community Slack ML powered analytics engine for outlier detection and root cause analysis ✨ What is Chaos Genius? C

View Demo · Documentation · Medium article 🔍 Overview Eurybia is a Python library which aims to help in : Detecting data drift and model drift Valida

🦉 A Modern Observability System HiQ is a declarative, non-intrusive, dynamic and transparent tracking system for both monolithic application and dist

EnergyExpenditure Code for the "Sensing leg movement enhances wearable monitoring of energy expenditure" paper. Additional data for replicating this s

Semi-automated OpenVINO benchmark_app with variable parameters. User can specify multiple options for any parameters in the benchmark_app and the progam runs the benchmark with all combinations of given options.

Python-based Monitoring Check Plugins Collection This Enterprise Class Check Plugin Collection offers a package of more than 130 Python-based, Nagios-

logging-monitoring-instrumentation A brief repository on logging monitoring and

CLI tool to measure the build time of different, free configurable Sphinx-Projec

Collie is for uncovering RDMA NIC performance anomalies. Overview Prerequ

Computer vision has opened up a lot of opportunities to explore into AI domain that were earlier highly limited. Here is an application of haarcascade classifier and OpenCV to develop a social distancing violation detector. I am passing the algo through a video feed where it first detects people using 'haarcascade_fullbody.xml' classifier algo. OpenCV and some mathematical operations then allow us to make code the social distancing violation logic

In our solution based on plotly, dash and influxdb, the user will firstly generate the specifications for different robots, and then a wide range of interactive visualizations for different machines for machine power, machine cost, and total cost based on the energy time and total energy getting dynamically from sensors. If a threshold is met, the alert email is generated for further operation.

[ICLR'21] DARTS-: Robustly Stepping out of Performance Collapse Without Indicators [openreview] Authors: Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun

FAST is an open-source cross-platform framework with the main goal of making it easier to do high-performance processing and visualization of medical images on heterogeneous systems utilizing both multi-core CPUs and GPUs. To achieve this, FAST use modern C++, OpenCL and OpenGL.

About Inspectaroo is a web app which allows users to upload images to view metadata. It is designed to show off many AWS services including EC2, Lambd

A simple stopwatch for measuring code performance. This is a fork from python-stopwatch, which adds static typing and a few other things.

Official code release for 3DV 2021 paper Human Performance Capture from Monocular Video in the Wild.

Pruner for nested cross-validation - Sphinx-Doc Nested cross-validation is necessary to avoid biased model performance in embedded feature selection i

This speeds up PyCharm's package index processes and avoids CPU & memory overloading

Lark-Cython Cython plugin for Lark, reimplementing the LALR parser & lexer for better performance on CPython. Install: pip install lark-cython Usage:

Running Performance Calculator 👉 Have you ever wondered if you ran 10km at 2000

A micro-service that can be extended to help in monitoring systems. Be extensible to be incorporated in any of the systems to facilitate timely interventions.

InverterApi - This project has been designed to take monitoring data from Voltronic, Axpert, Mppsolar PIP, Voltacon, Effekta

defichain_maxi This script is made to optimize your defichain vault rewards by m

Hatchet Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data. It is intended for analyzing

Unicorn can be used for performance analyses of highly configurable systems with causal reasoning. Users or developers can query Unicorn for a performance task.

An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks Novel and high-performance medical ima

aCe - Data-Centric Parallel Programming Decoupling domain science from performance optimization. DaCe is a parallel programming framework that takes c

Agar.io_Q-Learning_AI An experiment on the performance of homemade Q-learning AIs in Agar.io depending on their state representation and available act

TResNet: High Performance GPU-Dedicated Architecture paperV2 | pretrained models Official PyTorch Implementation Tal Ridnik, Hussam Lawen, Asaf Noy, I

Look into Palanteer and get an omniscient view of your program Palanteer is a set of lean and efficient tools to improve the quality of software, for

Benchmark for Tuning Accuracy and Efficiency Overview The benchmark includes our

Data App Performance Tests My hypothesis is that The different architectures of

PEPit: Performance Estimation in Python This open source Python library provides a generic way to use PEP framework in Python. Performance estimation

Performance Analysis of Multi-user NOMA Wireless-Powered mMTC Networks: A Stochastic Geometry Approach Thanh Luan Nguyen, Tri Nhu Do, Georges Kaddoum

In today’s generation, authentication is one of the biggest problems in our society. So, one of the most known techniques used for authentication is h

Badger Scout Scout is an open-source version of the monitoring tool used by Badg

Clothes Parsing Overview This code provides an implementation of the research paper: A High Performance CRF Model for Clothes Parsing Edgar Simo-S

BPF Performance Tools This is the official repository of BPF (eBPF) tools from the book BPF Performance Tools: Linux and Application Observability. Th

check_disk_io - Monitor disk io This is a monitoring plugin for Icinga, Nagios and other compatible monitoring solutions to check the disk io. It uses

Generate FastAPI projects for high performance applications. Based on MVC architectural pattern, WSGI + ASGI. Includes tests, pipeline, base utilities, Helm chart, and script for bootstrapping local Minikube with high available Redis cluster.

check_network_interface - Monitor network interfaces This is a monitoring plugin for Icinga, Nagios and other compatible monitoring solutions to check

Knowledge Informed Machine Learning using a Weibull-based Loss Function Exploring the concept of knowledge-informed machine learning with the use of a

D-Analyst : High Performance Visualization Tool D-Analyst is a high performance data visualization built with python and based on OpenGL. It allows to

howmanypeoplearearound Count the number of people around you 👨‍👨‍👦 by monitoring wifi signals 📡 . howmanypeoplearearound calculates the number of

Solathon is an high performance, easy to use and feature-rich Solana SDK for Python. Easy for beginners, powerful for real world applications.

IKPy Demo Live demos of what IKPy can do (click on the image below to see the video): Also, a presentation of IKPy: Presentation. Features With IKPy,

TODOs Reference to published paper or online version of it loadtest_plotter.py: Cleanup and reading data from files ARS_simulation.py: Cleanup, docume

Evaluate the performance of BigDL (Distributed Deep Learning on Apache Spark) in big data analysis problems.

The Diff Match and Patch libraries offer robust algorithms to perform the operations required for synchronizing plain text. Diff: Compare two blocks o

Scalene: a high-performance CPU, GPU and memory profiler for Python by Emery Berger, Sam Stern, and Juan Altmayer Pizzorno. Scalene community Slack Ab

A Python price monitor This project was focused on Brazil, so the monitoring is

Tautulli A python based web application for monitoring, analytics and notifications for Plex Media Server. This project is based on code from Headphon

Stock History Display Available on Heroku: https://stock-history-display.herokua

Introduction 关键点版本：已完成 全景分割版本：已完成 实例分割版本：已完成 YOLOX is an anchor-free version of

ncnn ncnn is a high-performance neural network inference computing framework optimized for mobile platforms. ncnn is deeply considerate about deployme

Scout Python APM Agent Monitor the performance of Python Django apps, Flask apps, and Celery workers with Scout's Python APM Agent. Detailed performan

Raster processing benchmarks This repository contains a collection of raster processing benchmarks for Python and R packages. The tests cover the most

Speedtest monitor for Grafana A small project that allows internet speed monitoring using Grafana, InfluxDB 2 and Speedtest. Demo Requirements Docker

Hoopoe - Get notified of important stuff, right away. Report a Bug · Request a Feature . Ask a Question Table of Contents About Getting Started Prereq

check_routeros - Monitoring MikroTik devices This is a monitoring plugin for Icinga, Nagios and other compatible monitoring solutions to check MikroTi

Linux Security and Monitoring Scripts These are a collection of security and monitoring scripts you can use to monitor your Linux installation for sec

Mycodo Environmental Regulation System Latest version: 8.12.9 Mycodo is open source software for the Raspberry Pi that couples inputs and outputs in i

Profile and test to gain insights into the performance of your beautiful Python code View Demo - Report Bug - Request Feature QuickPotato in a nutshel

Isaac ROS Visual Odometry This repository provides a ROS2 package that estimates stereo visual inertial odometry using the Isaac Elbrus GPU-accelerate

Automate_SQLJobsMonitoring_python Using python 3rd party modules we can automate

Modern, privacy-friendly, and cookie-free web analytics. Getting started » Screenshots • Features • Office Hours Motivation There are a lot of web ana

Sentry Telegram Plugin for Sentry which allows sending notification via Telegram messenger. Presented plugin tested with Sentry from 8.9 to 9.1.1. DIS

Lightweight experiment tracking tool for AI/ML individuals and teams. Fits any workflow. Neptune is a lightweight experiment logging/tracking tool tha

Browbeat Browbeat is a performance tuning and analysis tool for OpenStack. Browbeat is free, Open Source software. Analyze and tune your Cloud for opt

MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling Demos | Blog Post | Colab Notebook | Paper | MIDI-DDSP is a hierarchical

BioThings SDK Quick Summary BioThings SDK provides a Python-based toolkit to build high-performance data APIs (or web services) from a single data sou

Flyable - A python compiler for highly performant code Flyable is a Python compiler that generates efficient native code. It uses different techniques

Python PG Extras Python port of Heroku PG Extras with several additions and improvements. The goal of this project is to provide powerful insights int

TerminalGV So I got bored in the train, TerminalGV is a very simple client to display stats about your SNCF TGV/TER train in your terminal. The "on-tr

Population Shift Monitoring popmon is a package that allows one to check the stability of a dataset. popmon works with both pandas and spark datasets.

ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNX Runtime inference can enable faster customer experiences an

High-Performance MLS-MPM Solver with Cutting and Coupling (CPIC) (MIT License) A Moving Least Squares Material Point Method with Displacement Disconti

Source code of the paper "Deep Learning of Latent Variable Models for Industrial Process Monitoring".

Clearly see and debug your celery cluster in real time! Do you use celery, and monitor your tasks with flower? You'll probably like Clearly! 👍 Clearl

brewhouse-management A desktop application developed in Python with PyQt5 to predict demand and help monitor and schedule brewing processes for Barnab

DNS monitoring system built with Python.

Overview This repository is an implementation of the Auxiliary Raw Net (ARawNet), which is ASVSpoof detection system taking both raw waveform and hand

Nvdiffrast – Modular Primitives for High-Performance Differentiable Rendering Modular Primitives for High-Performance Differentiable Rendering Samuli

Complete system for facial identity system. Include one-shot model, database operation, features visualization, monitoring

Python client and API for monitoring and controling energy diversion devices from MyEnergi A set of library functions and objects for interfacing with

Blockchain-enabled Server-less Federated Learning Repository containing the files used to reproduce the results of the publication "Blockchain-enabled

Pyinstrument🚴 Call stack profiler for Python. Shows you why your code is slow!

Dust-model-dichotomous-performance-analysis Using a collated dataset of 90,000 dust point source observations from 9 drylands studies from around the

SEW (Squeezed and Efficient Wav2vec) The repo contains the code of the paper "Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speec

An ipywidgets wrapper of regular-table for Jupyter. Examples Two Billion Rows Notebook Click Events Notebook Edit Events Notebook Styling Notebook Pan

iDracPowerMonitorMQTT This script publishes iDrac power draw data for iDrac 6 enabled servers to an MQTT broker. This can be used to integrate the pow

소켓을 이용한 RDT protocols (RDT3.0,GBN,SR) 구현 및 성능 평가 코드 입니다. 코드를 실행할때 리시버를 먼저 실행하세요. 성능 평가 코드는 패킷 전송 과정을 제외하고 시간당 전송률을 출력합니다. RDT3.0 GBN SR(버그 발견으로 구현중 입니

HETU Documentation | Examples Hetu is a high-performance distributed deep learning system targeting trillions of parameters DL model training, develop

Camera Condition Monitoring and Readjustment by means of Noise and Blur This repository contains the source code of the paper: Wischow, M., Gallego, G

Saleor Commerce Customer-centric e-commerce on a modern stack A headless, GraphQL commerce platform delivering ultra-fast, dynamic, personalized shopp