Performance Monitoring Python Packages

arize

A Python client to interact with Arize API

caliper-reader

Caliper is an instrumentation and performance profiling library

nannyml

nannyml: post-deployment data science in python

appsignal

🟦 AppSignal for Python package

pytest-django-queries

Generate performance reports from your django database performance tests.

codegreen

Know the true energy cost of your code

perfmetrics

A library for sending software performance metrics from Python libraries and apps to statsd.

django-trackings

A Django app that tracks your queries to help optimize them. See Qorme for automated ORM optimization: https://qorme.com?ref=dj-tracker

pythonpsi

Python Implementation of Google PageSpeed Insights

sparkhistogram

Includes notes on using Apache Spark, with drill down on Spark for Physics, how to run TPCDS on PySpark, how to create histograms with Spark. Also tools for stress testing, measuring CPUs' performance, and I/O latency heat maps. Jupyter notebooks examples for using various DB systems.

socratic-performance

Performance monitoring, profiling, and optimization metrics

netutils-linux

Bunch of utils to simplify linux network troubleshooting and performance tuning.

callflow-tracer

Trace, profile & visualize Python function calls with interactive graphs. FastAPI, Flask, Django integrations. VSCode extension. Find bottlenecks fast! 🔥

appsignal-beta

The AppSignal integration for the Python programming language

python-script-runner

Production-grade Python script execution engine with comprehensive monitoring, alerting, analytics, and enterprise integrations

floppy-tracker

A hardware-agnostic profiler for tracking the FLOPs and BOPs of Machine and Deep Learning algorithms.

tpcds-pyspark

TPCDS_PySpark is a TPC-DS workload generator implemented in Python designed to run at scale using Apache Spark.

asynccsv

Async CSV performance logging

arize-slim

A helper library to interact with Arize AI APIs

sparkle-log

Write a spark line graph of CPU, Memory, etc to the python log

test-cpu-parallel

Includes notes on using Apache Spark, with drill down on Spark for Physics, how to run TPCDS on PySpark, how to create histograms with Spark. Also tools for stress testing, measuring CPUs' performance, and I/O latency heat maps. Jupyter notebooks examples for using various DB systems.

quickpotato

A micro/macro benchmark framework for the Python programming language that helps with optimizing your software.

arguslm

ArgusLM — Open-source LLM monitoring & benchmarking SDK

profilis

High performance, non blocking profiler for Python web apps.