nannyml: post-deployment data science in python
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Updated
Jun 7, 2024 - Python
nannyml: post-deployment data science in python
A suite of utilities simplilfying linux networking stack performance troubleshooting and tuning.
This tool allows the IBM Storage Scale users to perform performance monitoring for IBM Storage Scale devices using third-party applications such as Grafana or Prometheus software.
Python utilities for AWS related tasks.
Monitor Linux system
A micro/macro benchmark framework for the Python programming language that helps with optimizing your software.
Performance and cost benchmark tool for AWS Lambda on memory sizes 📈⏱
A python library to send data to Arize AI!
Did My Code Execute - C/C++ source code level tracer
Utilities and wrappers for using AWS X-Ray with Python
A library for sending software performance metrics from Python libraries and apps to statsd.
A platform mainly used for performance test.
Python Implementation of Google PageSpeed Insights
A Django application to collect monitoring data samples through HTTP or SNMP GET interface.
Train an artificial intelligent model to recognize abnormal traffic graphs or KPI graphs. Great for performance or IT engineers to figure out abnormal graphs from thousands of traffic graphs like cacti or KPI graphs from telecom OSS.
Websites monitoring via GitHub Actions (expiration, security, performances, privacy, SEO)
Generate performance reports from your django database performance tests.
A Django app that tracks your queries to help optimize them. Demo: https://dj-tracker-bakerydemo.herokuapp.com/dj-tracker/
Python library to collect performance events
🟦 AppSignal for Python package
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