Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
-
Updated
Nov 14, 2025 - Python
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
Transparent and Efficient Financial Analysis
A terminal Flamegraph viewer.
A code generator for array-based code on CPUs and GPUs
Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.
Tracing tools for ROS 2.
A financial chat application powered by LangChain, OpenBB, and Claude 3 Opus.
PyTorch functions and utilities to make your life easier
SeBS: serverless benchmarking suite for automatic performance analysis of FaaS platforms.
[DEPRECATED] Moved to ROCm/rocm-systems repo
A micro/macro benchmark framework for the Python programming language that helps with optimizing your software.
A collection of performance analysis tools, recipes, handy scripts, microbenchmarks & more
Analyze graph/hierarchical performance data using pandas dataframes
FPGA tool performance profiling
Machine learning for machine code.
A minimalist extension and utility pair for time series analysis and visualization of PostgreSQL internal statistics.
PyProf2: PyTorch Profiling tool
Django package to log request values such as device, IP address, user CPU time, system CPU time, No of queries, SQL time, no of cache calls, missing, setting data cache calls for a particular URL with a basic UI.
In this repository, an event-driven backtester is implemented based on QuantStart articles. The backtester is programmed in Python featuring numerous improvements, in terms of coding structure, data handling, and simple trading strategies.
Add a description, image, and links to the performance-analysis topic page so that developers can more easily learn about it.
To associate your repository with the performance-analysis topic, visit your repo's landing page and select "manage topics."