nannyml: post-deployment data science in python
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Updated
Jul 12, 2025 - Python
nannyml: post-deployment data science in python
A suite of utilities simplilfying linux networking stack performance troubleshooting and tuning.
A micro/macro benchmark framework for the Python programming language that helps with optimizing your software.
A Django app that tracks your queries to help optimize them. See Qorme for automated ORM optimization: https://qorme.com?ref=dj-tracker
Generate performance reports from your django database performance tests.
Performance and cost benchmark tool for AWS Lambda on memory sizes 📈⏱
A python library to send data to Arize AI!
Websites monitoring via GitHub Actions/API (expiration, security, performances, privacy, SEO)
Monitor Linux system
Python utilities for AWS related tasks.
This tool allows IBM Storage Scale users to perform performance monitoring for IBM Storage Scale devices using third-party applications such as Grafana or Prometheus software, or integrate with the Openshift monitoring stack.
Python Implementation of Google PageSpeed Insights
A library for sending software performance metrics from Python libraries and apps to statsd.
Utilities and wrappers for using AWS X-Ray with Python
Did My Code Execute - C/C++ source code level tracer
A Streamlit + SQLite + Python dashboard for monitoring content performance KPIs. Tracks impressions, clicks, conversions, CTR, and conversion rates across categories and time. Includes an automated ETL from CSV → SQL view, interactive charts, and filters for data-driven content optimization.
A platform mainly used for performance test.
A cross-platform SNMP browser application with GUI for network device management and monitoring
Python library to collect performance events
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