Performance Monitoring Python Packages

arize

A Python client to interact with Arize API

caliper-reader

Caliper is an instrumentation and performance profiling library

appsignal

🟦 AppSignal for Python package

nannyml

nannyml: post-deployment data science in python

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.

pythonpsi

Python Implementation of Google PageSpeed Insights

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! 🔥

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.

appsignal-beta

🟦 AppSignal for Python package

python-script-runner

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

floppy-tracker

A hardware-agnostic python library to monitor the computational cost of Machine and Deep Learning algorithms.

tpcds-pyspark

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.

profilis

High performance, non blocking profiler for Python web apps.

sparkle-log

Write sparkline graphs of CPU and memory usage to your logs.

timeitpro

timeitPro is an advanced Python function profiler with JSON logging and a Flask dashboard.

asynccsv

Async CSV performance logging

quickpotato

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

arize-slim

A Python client to interact with Arize API

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.

arguslm

ArgusLM — Open-source LLM monitoring & benchmarking SDK