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An open API service indexing awesome lists of open source software.

NumPy

NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

https://github.com/williamfridh/umu_5tf078_paper_keyboard_tracker

Project exploring how a CNN alongside computer vision can be used to detect drawn keys and track finger input,.

cnn-classification computer-vision keras-tensorflow numpy python tensorflow

Last synced: 07 Jan 2026

https://github.com/kartikeya443/handgesture_vol_control

This OpenCV project enables remote control of sound playback using wireless communication. It lets users adjust the master volume of the central device using finger gestures, enhancing convenience and user experience.

mediapipe numpy opencv pycaw wireless-communication

Last synced: 13 Apr 2026

https://github.com/allanotieno254/pinecone-index-creation-vector-store-database-

This project demonstrates how to create an index in Pinecone, a vector database optimized for similarity search and machine learning applications. The notebook covers setting up a Pinecone client, creating an index, and managing vector data efficiently.

index jupyter-notebook numpy pinecone python

Last synced: 13 Apr 2026

https://github.com/goessl/adjugate

A package for calculating submatricies, minors, adjugate- and cofactor matrices.

adjugate cofactor determinant inverse linear-algebra matrix minor numpy python submatrix

Last synced: 07 Jan 2026

https://github.com/athul64/tmdb-dataset-analysis

This data set contains information about 10,000 movies extracted from TMDB. The dataset contains movies from 1960 to 2015. Including user ratings and revenue. Original data from Kaggle.

data-visualization dataframe eda numpy pandas python

Last synced: 14 Apr 2026

https://github.com/murugavl/customer_churn_prediction

Customer churn prediction is a crucial task in business analytics, helping companies identify customers who are likely to leave and take preventive actions. This project utilizes Machine Learning (ML) techniques to analyze customer behavior and predict churn.

jupyter-notebook machine-learning matplotlib numpy pandas pickle python scikit-learn streamlit

Last synced: 13 Apr 2026

https://github.com/armahdavi/data_analytics_statistics_plotting_pm_airborne_sampling

All codes for the data pipelines processing, statistical modellings, descriptive statistics and plot visualizations from airborne phase of Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021

data-science data-visualization machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats statistics

Last synced: 13 Apr 2026

https://github.com/caterinatasinato/python-projects

Projects I worked on as Trainee in Data Analytics at ProfessionAI

matplotlib numpy pandas python3

Last synced: 13 Apr 2026

https://github.com/danaelshrbiny10/gold-prices

The Egypt Gold Prices project is a data analysis and visualization initiative that focuses on tracking and understanding the daily gold prices in Egyptian pounds per gram.

data-visualization docker docker-compose matplotlib mongodb numpy pandas powerbi python3 webscraping

Last synced: 13 Apr 2026

https://github.com/raghavendranhp/youtube_data_harvesting

The "YouTube Data Analyzer" is a versatile tool for businesses and content creators, enabling them to gather, analyze, and harness valuable insights from multiple YouTube channels. With streamlined data collection, storage in MongoDB, migration to SQL, and a user-friendly Streamlit interface, it empowers users to make data-driven decisions

apiintegration data datacollection eda googleapi googleapiclient matplotlib mongodb mysql mysqlconnector numpy oops pandas pymongo python pythonoops sql sqlalchemy streamlit youtube-api

Last synced: 13 Apr 2026

https://github.com/asier-ortiz/python-for-data-science-and-machine-learning-bootcamp

Python for Data Science and Machine Learning Bootcamp: NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, TensorFlow, and more

matplotlib numpy pandas plotty python scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/fearless-spider/spideroptic-cli

Spider Optic CLI is a command line application.

cement cli cli-app command-line makefile numpy oanda pypi python

Last synced: 01 May 2026

https://github.com/lingumd/school_district_analysis

Updated test score data and school district analysis using Python.

averages binning jupyterlab numpy pandas pandas-loc python

Last synced: 13 Apr 2026

https://github.com/csengupta1101/rock-paper-scissor-game

Rock Paper Scissor game built with Python 3. Jupyter notebook used as IDE. Code File , Read Me attached herewith.

game if-else-statements numpy python python3 random

Last synced: 11 May 2026

https://github.com/charanpool/image-patch-mapping

A Python toolkit for image processing — edge detection, template matching, and patch detection using OpenCV

canny-edge-detector computer-vision edge-detection image-processing numpy opencv python sobel-filter template-matching

Last synced: 18 Jan 2026

https://github.com/alepm1990/nba-analytics

Análisis y trabajos en Python con BBDD deportivas

matplotlib-pyplot numpy pandas pyhon python3 seaborn

Last synced: 05 May 2026

https://github.com/mayankmittal29/algovision-statistical_methods_in_ai

Implementation of various machine learning algorithms from scratch, including Linear Regression, K-Nearest Neighbors, Decision Trees, and K-Means clustering. Also done EDA on data, Implemented LSH, IVF, SLIC algorithms also with evaluation metrics

decision-tree-classifier eda gradient-descent image-segmentation ivf knn-classification linear-regression lsh-implementation matplotlib-pyplot numpy pandas python3 seaborn sgd-optimizer sklearn slic-superpixel-algorithm

Last synced: 11 Apr 2026

https://github.com/vishal815/python-based-flight-data-scraping-automating-data-collection-for-analysis

This project is a Python-based web scraping script designed to extract flight details from the Yatra travel website. The extracted data includes flight pricing, origin, destination, departure and arrival times, and duration. The data is then saved into a CSV file for further analysis.

beautifulsoup flight-data-analysis flight-data-visualization numpy pandas pyhton pyplot scraping scraping-python seaborn selenium vishal-lazrus vishallazrus webscraping webscraping-projects

Last synced: 18 Apr 2026

https://github.com/bhattbhavesh91/numpy-performance-test

Comparing the performance of Base Python Square root function with a numpy equivalent

list numpy python

Last synced: 20 Apr 2026

https://github.com/raeinlayeghpour/test-bench-for-signal-validation-simulated-3-phase-system

Automated Project - Test Bench for Signal Validation (Simulated 3-Phase System)

numpy pandas pycharm pytest python

Last synced: 13 Apr 2026

https://github.com/ifte-13/early-stage-brain-stroke-detection

Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm

decision-tree imbalanced-learn knn matplotlib numpy pandas random-forest scikit-learn seaborn

Last synced: 06 Jul 2025

https://github.com/harmanveer-2546/finding-you-next-perfect-house

In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.

adaboostregressor decisiontreeregressor exploratory-data-analysis house-price-prediction inline linearregression matplotlib numpy onehotencoder pandas plotly python randomforestregressor renting seaborn standardscaler xgbregressor

Last synced: 13 Apr 2026

https://github.com/saro0307/exploratory-data-analysis-terrorism

Phase 1 of Data Science project (program) to perform Exploratory Data Analysis on Terrorism using Python On Google Colab for Coderscave Internship sept 2023

colaboratory data-analysis datascience machine-learning numpy pandas python seaborn skit-learn visualization

Last synced: 13 Apr 2026

https://github.com/soumyapro/house-price-prediction

Explored different attributes of Boston housing dataset then a part of dataset was used to train the linear regression algorithm after that trained model was used to give predictions on remaining part of dataset.

linear-regression matlplotlib numpy pandas sklearn svm

Last synced: 13 Apr 2026

https://github.com/sorabh-kapoor/face-recognition-attendance-system

The Facial Recognition System is an AI-powered application USING FLASK designed to detect and recognize faces with high accuracy. This system can be integrated into various applications, including security systems, attendance management, and identity verification.

flask flask-application knn ml numpy opencv pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/nambukeerthi/copper_project

Data Analysis Skills – Work with real-world data. Machine Learning Experience – Build and train models. Web App Development – Create interactive dashboards

eda machine-learning numpy pandas python streamlit

Last synced: 13 Apr 2026

https://github.com/csengupta1101/netflix-rating

The project revolves around Netflix shows and movies around the world. The problem statement that is being tried to address here is that what kind of show to come up with in future times and how well that will fit with the audience

jupyter-notebook matplotlib movies netflix numpy pandas plotly python python3 rating tvseries

Last synced: 13 Apr 2026

https://github.com/paulo-freitas-junior/ifood-dev-week2023

Repositório sobre a Dev Week iFood sobre uso de Python e Inteligência Artificial para realização de cálculo de NPS ( Net Promoter Score ) e a utilização de IA para análise de sentimentos dos comentários usando tecnologia do ChatGPT-4.

bert chatgpt colab-notebook matplotlib nltk numpy pandas python textblob-sentiment-analysis

Last synced: 13 Apr 2026

https://github.com/nicolascoiado/nivel-mar

Este projeto realiza uma análise detalhada do nível médio global do mar (GMSL), utilizando uma base de dados pública que abrange medições históricas. O objetivo é explorar tendências, calcular a taxa média de elevação e visualizar os dados por meio de gráficos.

google-colab jupyter-notebook matplotlib numpy pandas python python3 scikit-learn

Last synced: 11 Mar 2025

https://github.com/nirmaldeepponnada/codeclauseinternshipproject2

Python, NLTK, Scikit-Learn, Pandas, NumPy, Pickle, SciPy, and JSON are used for text preprocessing, feature engineering, multi-label classification, and model persistence.

nltk numpy pandas pickle python scikit-learn scipy

Last synced: 07 Apr 2026

https://github.com/dmarks84/coursework_project_network-analysis-node-link-prediction

Project for University of Michigan Applied Data Science Specialization -- Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections)

classification cross-validation data-reporting databases eda grid-search matplotlib network-analysis numpy pandas python scikit-learn statistics supervised-ml visualization

Last synced: 13 Apr 2026

https://github.com/shreeparab1890/heart-attack-analysis-prediction-accuracy-85.24

This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analysis and data cleaning, the dataset is used to train the model using different ML algorithm.

eda exploratory-data-analysis matplotlib numpy pandas plotly prediction python scikit sklearn

Last synced: 13 Apr 2026

https://github.com/lesiaukr/mathematic_for_cs_colab_hw

Master's degree | HW | Mathematics for Computer Science course | Homeworks

goit google-colab home-works latex linear-algebra mathematics-for-computerscience matrices numpy python vectors

Last synced: 13 Apr 2026

https://github.com/ediloaz/linear-regression-with-lists-numpy-and-pytorch

This was done like the homework #01 of Machine Learning Course, of Computer Science Master.

arrays-raw jupyter-notebook machine-learning numpy python pytorch

Last synced: 13 Apr 2026

https://github.com/danny-1k/nnpy

Neural network library written from scratch in numpy

deep-learning neural-networks-from-scratch numpy python

Last synced: 17 May 2026

https://github.com/hansalemaos/a_pandas_ex_split_on_common_char

Splits the elements in a Series using a common separator character and returns a DataFrame.

numexpr numpy pandas separator split string

Last synced: 14 Jan 2026

https://github.com/theblueberrycompendium/keras-movie-classification

This is an basic application that uses Keras

ai keras-tensorflow numpy python3 simple-project

Last synced: 13 Apr 2026

https://github.com/anikdascodes/fantasy-cricket-project

🏏 Python simulation for generating 20K+ unique fantasy cricket teams with probability-based player selection and constraint optimization. Advanced algorithms, data analysis & visualizations included.

algorithm constraint-satisfaction cricket data-science fantasy-sports jupyter machine-learning numpy optimization pandas plotly probability python simulation sports-analytics

Last synced: 28 Apr 2026

https://github.com/18mahi/digital_cave

An intermediate-level deep learning project that compares Convolutional Neural Networks (CNN) and Multi-Layer Perceptrons (MLP) on the MNIST handwritten digits dataset. This project demonstrates data augmentation, learning rate scheduling, and visual comparison of model performance

cnn confusion-matrix data-augmentation data-science deep-learning evaluation-metrics jupyter-notebook keras learning-rate-scheduler machine-learning matplotlib mlp numpy python3 scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/pranavsp108/time-series-forcasting

A time-series forecasting project to predict hourly energy consumption using Python, Pandas, and an XGBoost regression model.

data-analysis data-science energy-consumption forecasting matplotlib numpy pandas python scikit-learn sustainability time-series xgboost

Last synced: 10 Apr 2026

https://github.com/ahmadbuilds/fake-news-classifier

Classifies news articles as real or fake using an NLP pipeline with TF-IDF + n-grams and machine learning models. Includes text preprocessing, feature engineering, model training, and evaluation.

fastapi logistic-regression matplotlib n-grams nextjs nltk numpy pandas python3 random-forest-classifier react scikit-learn seaborn supervised-learning tf-idf typescript xgboost-classifier

Last synced: 11 Apr 2026

https://github.com/disney35/stock-prices-dashboard

A dashboard to analyze, predict, and visualize stock prices using Python & LSTM

ema jupyter-notebook keras macd matplotlib-pyplot mfi numpy pandas python rsi scikit-learn sma streamlit tenserflow yfinance

Last synced: 12 Apr 2026

https://github.com/mehediehteshum/minesweeper

Building classic 'Minesweeper' game from scratch using Pygame with VS Code.

numpy pygame python python3

Last synced: 06 Oct 2025

https://github.com/minhtungonep/android-traffic-analysis

Android malware detection project analyzing network traffic patterns in a telecommunications context. Uses statistical hypothesis testing and data visualization to evaluate traffic features like DNS query times, TCP packets, and volume bytes for distinguishing between benign and malicious Android applications.

android-library bachelor-project bachelor-thesis cybersecurity cyface data-visualization hypothesis-testing malware-detection matplotlib network-traffic numpy pandas python scipy sdk statistical-analysis telecommunications voip-security

Last synced: 09 May 2026

https://github.com/swatisinghit/treadmill-customer-profiling-for-aerofit

Create comprehensive customer profiles for each AeroFit treadmill product through descriptive analytics. Develop two-way contingency tables and analyze conditional and marginal probabilities to discern customer characteristics, facilitating improved product recommendations and informed business decisions.

analytics conditional-probability data-analysis data-science data-visualization eda numpy pandas probability statistics

Last synced: 08 May 2026

https://github.com/ashishgoswami13/handgesture_recognition

Real-time hand gesture recognition using computer vision and deep learning. Collect gesture images, train a model with Google Teachable Machine, and classify gestures live for applications like drone control or human-computer interaction.

computer-vision cvzone handgesture-recognition keras numpy python teachable-machine

Last synced: 18 Apr 2026

https://github.com/zolppy/recommendation-system

This project demonstrates the creation of a content-based image recommendation system. It leverages a pre-trained VGG16 deep learning model to extract meaningful feature vectors from images. These features are then compared using cosine similarity to identify and recommend visually similar images.

computer-vision deep-learning keras machine-learning numpy recommendation-system sklearn tensorflow vgg16

Last synced: 12 Apr 2026

https://github.com/ahmrina/unetbraintumorseg

UNetBrainTumorSeg is a 3D Slicer extension named "seg_module" that integrates a 3D UNet trained on BraTS2020 dataset to segment brain tumor area from MRI volumes

3d-slicer-extension monai numpy python pytorch slicer unet vtk

Last synced: 07 May 2026

https://github.com/chandkund/stock-price-prediction-

Predict Tesla stock prices using historical data. The project preprocesses data, applies normalization and standardization, trains a linear regression model, and evaluates its performance. Visualizations include box plots and time series plots.

data-science linear-regression numpy pandas plotly python sklearn sklearn-model

Last synced: 21 Jan 2026

https://github.com/mkdirer/disaster-tweet-nlp-adaboost-transformers

A machine learning project that classifies tweets as disaster-related or non-disaster-related using transformers and the AdaBoost technique. Achieved an accuracy of approximately 80% on the validation set

geopy keras matplotlib numpy pandas python sklearn tensorflow

Last synced: 12 Apr 2026

https://github.com/rachakondaganesh/superstore-sales-data-analysis-project

Analyzed retail sales data to uncover key business insights using Python and Power BI. Explored patterns in profit, sales, and customer segments across regions. Built interactive dashboards to visualize trends, identify top-performing categories, and highlight areas for improvement in shipping and discount strategies.

dashboard exploratory-data-analysis matplotlib-pyplot numpy pandas powerbi seaborn

Last synced: 02 May 2026

https://github.com/samuelpuerta/modelosiasaberprocolombia

PROYECTO KAGGLE - Crear un modelo para predecir el redimiento de los estudiantes en las pruebas Saber Pro

ai ia jupyter-notebook machine-learning numpy pandas prediction-model predictive-modeling python

Last synced: 06 May 2026

https://github.com/gherrada22/spanish-sign-translator

This project uses Python and the OpenCV and MediaPipe libraries to detect and translate signs in real time.

language matplotlib mediapipe numpy opencv pycharm-ide python python3 spanish-language toml

Last synced: 18 Jan 2026

https://github.com/faisal-khann/ipl-analysis

The IPL Analysis project is a comprehensive data-driven exploration of the Indian Premier League (IPL), analyzing historical match data to uncover patterns in team performance, player statistics, and match outcomes.

data-analysis exploratory-data-analysis jupyter-notebook matplotlib numpy pandas seaborn

Last synced: 08 May 2026

https://github.com/lorenzorottigni/dl-houses

Deep Learning python bootcamp: exploratory data analysis & deep learning on houses price dataset

deep-learning ipynb machine-learning numpy pandas python scikit-learn seaborn tensorflow

Last synced: 11 Apr 2026

https://github.com/naveen88112/vehicle-routing-problem

Vehicle Routing Problem (VRP) Solver This project applies a Genetic Algorithm (GA) to optimize the Vehicle Routing Problem (VRP). This is done for more than one vehicle to ensure delivery routes that save travel distance and increase efficiency.

deap genetic-algorithm matplotlib numpy python vehicle-routing-problem

Last synced: 13 Apr 2026

https://github.com/amritendunath/appointmate_1.0

A LangGraph-powered multi-agent/supervisor system for appointment scheduling. It enables users to interact in natural language to check doctor availability, book, reschedule, or cancel appointments.

fastapi langchain langgraph nltk numpy pandas psycopg2 python sqlalchemy uvicorn websocket

Last synced: 07 Apr 2026

https://github.com/shoaib1522/introduction-to-data-science

Unlock the world of data science with hands-on tutorials, interactive notebooks, and essential resources! Whether you're a beginner or looking to refine your skills, this repo offers a comprehensive guide to mastering Python, Git, NumPy, Pandas, and more—empowering you to analyze, visualize, and transform data like a pro! 🚀📊💻

confusion-matrix github-config kaggle matplotlib numpy pandas python3 script visualization

Last synced: 14 Apr 2026

https://github.com/thekartikeyamishra/colorextractor

A Python-based project that extracts the dominant colors from an image using the KMeans clustering algorithm. This project is useful for applications like image processing, color palette generation, or analyzing the most prominent colors in images.

kmeans-clustering matplotlib matplotlib-pyplot numpy p pillow python sklearn

Last synced: 05 May 2026

https://github.com/gopikrsmscs/mycinepick-recommendation-system

MyCinePick is a user-specific movie recommendation system built using collaborative filtering techniques. This project aims to provide personalized movie suggestions tailored to each user's unique viewing preferences and habits.

collaborative-filtering movie-recommendation-app numpy python3 recommendation-system sklearn streamlit

Last synced: 14 Apr 2026

https://github.com/adi3042/diamond_price_prediction

🔮💎 Explore the Diamond Price Oracle! Predicting diamond values based on your preferences and market trends. Your ultimate tool for informed decisions in the diamond world. Join us for the future of pricing! 💎✨🚀 #DiamondPredictor

anaconda datetime diamond flask functools html ipykernel jupyter-notebook matplotlib numpy pandas price-prediction readme regressor sckiit-learn setuptools venv

Last synced: 14 Apr 2026

https://github.com/psgebeline/b2_plotter

A simple Python package for use by Belle II analysts to make various plots out of pandas dataframes and numpy arrays.

jupyter-notebook matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python uproot visualization-tools

Last synced: 19 Jan 2026

https://github.com/venkat-a/python-eda-exploratory-data-analysis-

This project focuses on conducting exploratory data analysis (EDA) using Python. Utilizing powerful libraries such as Pandas for data manipulation and Plotly for interactive visualization, the project aims to uncover insights from datasets through comprehensive analysis and visualization techniques.

descriptive-statistics matplotlib numpy pandas seaborn statistical-analysis visualization

Last synced: 07 May 2026

https://github.com/salma-mamdoh/the-android-app-market-on-google-play-project

My project aims to practice Data Analysis and Data Visualization on DataCamp

data-analysis data-visualization datacamp jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/allanreda/automated-k-means-clustering-engine

An interactive K-Means clustering tool built with Flask and Scikit-Learn, supporting Excel file uploads, cluster analysis, and data export, deployed on Google Cloud Run via Docker with CI/CD integration.

cicd css data-visualization deployment docker flask google-cloud-run html javascript k-means-clustering machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 19 Jan 2026

https://github.com/bharath-tars/deeptumor2.0

DeepTumor2.0 is a project aimed at developing a flask webapp with robust front end and highly trained model using tensorflow in the backend with several features like with automatic html template reporting. **NOTE: DeepTumor2.0 has been moved from Azure to On-Render to save costs**

css datetime docs flask github html javascript keras numpy onrender os pandas python sheety smtp tensorflow

Last synced: 21 Jan 2026

https://github.com/ramchaik/cinebrain

CineBrain uses ML & NLP to analyze movies and recommend similar ones based on user preferences through cosine similarity.

cosine-similarity flask htmx kaggle machine-learning movie-recomendation-system nlp nltk numpy pandas sklearn tailwind tmdb tmdb-api unsupervised-learning vectorization

Last synced: 19 Jan 2026

https://github.com/soumyapro/parkinson-disease-prediction

This project predicts Parkinson's disease using machine learning models.

logistic-regression numpy pandas scikit-learn svc xgboost

Last synced: 19 Jan 2026

https://github.com/charancholaveti/imdb-sentimentanalysis

IMDB Movie Review Sentiment Analysis-It will give the sentiment of the review whether it is Positive or Negative

deeplearning keras numpy rnn-tensorflow tensorflow

Last synced: 14 Apr 2026

https://github.com/chaakshay/heartdrive

A Streamlet-based tool that analyzes cardiovascular health data, predicts population risk using ML, and suggests targeted government actions like awareness campaigns, health checkups, and policy changes.

csv mathplotlib numpy pandas pandas-dataframe python scikit-learn seaborn streamlit

Last synced: 05 Apr 2026

https://github.com/ricky9667/taiwanoceantrashpredict

A very simple DNN project using Keras.

dnn keras numpy python

Last synced: 14 Apr 2026

https://github.com/jsimell/sleepanalysis

A Python data analysis project analyzing the sleep quality affecting factors and temporal patterns in the sleeping data of a single subject.

data-analysis matplotlib numpy pandas python scikit-learn seaborn

Last synced: 14 Apr 2026

https://github.com/shubham-bendre/football-clip-analysis

This project uses YOLO and Roboflow datasets to analyze football matches, detecting players, referees, and the ball while tracking movements in real-time.

deep-learning matplotlib numpy roboflow-dataset yolov5

Last synced: 17 May 2026

https://github.com/abhishekyadav915/multiple_disease_prediction_using_ml

Developed a web-based application for predicting the likelihood of multiple diseases using machine learning models with accuracy up to 95%.

colab-notebook logistic-regression numpy pandas python3 sklearn spyder-python-ide streamlit-web streamlitcloud svm-classifier

Last synced: 05 May 2026

https://github.com/avik-pal/kaggle-titanic

Predicting whether a given set of people survive on the Titanic

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 14 Apr 2026

https://github.com/hansalemaos/locate_pixelcolor_cython_multi_auto_compile

Detects colors in images 8 x faster than Numpy / Uses Cython - returns a dict

bot c color colors colour colours cpp cython fast find multiprocessing numpy numpy-array opencv rgb rgba search

Last synced: 24 Feb 2026

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