ScriptProfilerPy - Module to visualize where your python script is slow

Last update: Jun 02, 2022

Related tags

Deep Learning ScriptProfilerPy

Overview

ScriptProfiler helps you track where your code is slow

It provides:

Code lines that impact your code speed.
Visualisation of slow code lines for quick fix.

Setup

Python 3.9 Require matplotlib.pyplot, numpy

from speed_testpy import ScriptProfilerPy

ScriptProfilerPy(filepath="example_testfile.py").Profiler() output > code_profile_output.png

'Make a copy of your python script to prevent any issues.

'Executing this script with same packages as your scrpt's virtual environment.

Your script will be executed as a standard python import

Output:

How it works:

Provide the python script path The module will insert datetime() variable at each non-indented line.

Your code is opened, read and duplicated
New lines of code are inserted with timestamps
A new file is created with the name extension "_STP".

A python script "SpeedTestPy (STP)" file is created that is, your code + timestamps.

Add lines of code to keep track of execution time between each line of your code. Add lines of code to plot the performance as a bar chart.

At the end the module execute your file. Total time display is then, the time taken by your code to run entirely.

License:

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Python script that allows you to automatically setup your Growtopia server.

AutoSetup Python script that allows you to automatically setup your Growtopia server. How To Use Firstly, install all the required modules that used i

3 Mar 6, 2022

Open source Python module for computer vision

About PCV PCV is a pure Python library for computer vision based on the book "Programming Computer Vision with Python" by Jan Erik Solem. More details

1.9k Jan 6, 2023

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Pattern Pattern is a web mining module for Python. It has tools for: Data Mining: web services (Google, Twitter, Wikipedia), web crawler, HTML DOM par

Computational Linguistics Research Group

8.4k Jan 3, 2023

Releases(v0.0.1-alpha)

v0.0.1-alpha(Jan 10, 2022)

Stable version for testing your python scripts speed
Source code(tar.gz)
Source code(zip)

ScriptProfilerPy - Module to visualize where your python script is slow

Related tags

Overview

ScriptProfiler helps you track where your code is slow

Setup

Output:

How it works:

License:

You might also like...

Python script that allows you to automatically setup your Growtopia server.

Open source Python module for computer vision

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Solve a Rubiks Cube using Python Opencv and Kociemba module

Springer Link Download Module for Python

This is a Python Module For Encryption, Hashing And Other stuff

The AugNet Python module contains functions for the fast computation of image similarity.

😊 Python module for face feature changing

This is a custom made virus code in python, using tkinter module.

Releases(v0.0.1-alpha)

v0.0.1-alpha(Jan 10, 2022)

Owner

Lucas BLP

Object detection (YOLO) with pytorch, OpenCV and python

Code for "Adversarial attack by dropping information." (ICCV 2021)

Oriented Response Networks, in CVPR 2017

Implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

An official implementation of MobileStyleGAN in PyTorch

This is the replication package for paper submission: Towards Training Reproducible Deep Learning Models.

This's an implementation of deepmind Visual Interaction Networks paper using pytorch

Select, weight and analyze complex sample data

The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data

An API-first distributed deployment system of deep learning models using timeseries data to analyze and predict systems behaviour

Source code for our paper "Empathetic Response Generation with State Management"

JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

Referring Video Object Segmentation

This initial strategy was developed specifically for larger pools and is based on taking a moving average and deriving Bollinger Bands to create a projected active liquidity range.

We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.

Object detection using yolo-tiny model and opencv used as backend

Tutorial: Introduction to Graph Machine Learning, with Jupyter notebooks

DWIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data.

MADE (Masked Autoencoder Density Estimation) implementation in PyTorch