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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/rubada/machine-learning-with-ruba-dabbas

Advance your skills and start your career here, by taking the online courses on Intuidemy.

course learning machine machine-learning matplotlib matplotlib-pyplot models numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/shreyazh/respire

To deal with Respiratory Challenges

machine-learning matplotlib numpy pandas pillow python scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/ahmedabdalkreem/skin-cancer

In this project we work to extraction features from Images using CNN and build the Neural Network to arrive the patient have skin-cancer Malignant or Benign.

cnn deep-learning matplotlib neural-network numpy pandas python3 sklearn-library

Last synced: 12 Apr 2026

https://github.com/ben854719/wasde-revenue-in-2024

The project will use AI to analyze the revenue from the dataset of the World Agricultural Supply and Demands Estimates.

gemini langchain large-language-models matplotlib numpy pandas-python

Last synced: 12 Apr 2026

https://github.com/nidomika/digit-recognition

Digit recognition project in Python

digit-recognition numpy opencv python tensorflow

Last synced: 12 Apr 2026

https://github.com/renukadhule/crop_production_python_analysis

This project analyzes crop production data in India from 1997 to 2015, identifying trends, seasonality, and top-performing states and crops. The insights aim to guide improvements in agricultural productivity and policy decisions.

matplotlib numpy pandas python

Last synced: 12 Apr 2026

https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis

This research project uses machine learning techniques and neural network to uncover key factors that contribute to successful protein structure discovery using Python and R

classification clustering ipython-notebook jupyter-notebook keras-neural-networks keras-tensorflow machine-learning neural-network numpy python r rmarkdown scikit-learn scipy tensorflow

Last synced: 02 Feb 2026

https://github.com/dan-niles/neural-networks-from-scratch

A neural network implemented using only NumPy and Pandas for CS3631: Deep Neural Networks

neural-networks numpy pandas

Last synced: 05 May 2026

https://github.com/dahsie/machine_learning_from_scratch

This project aims to implement some machine learning basic techniques(e.g. MinMaxScaler, StandardScaler, TD-IDF, PCA, Logistic Regression, LDA, KNN, Naive Bayes Classifier) using only pyton, numpy and pandas. This will enable me to have hone my data scientist skills

classification clustering data data-processing datascience machienlearning nlp nltk numpy pandas python regression

Last synced: 04 May 2026

https://github.com/testetson22/abelian_sandpiles

Simple App that implements, builds and tests an approximation of the Abelian sandpile model

github-actions numpy pytest

Last synced: 12 Apr 2026

https://github.com/daksh777/expressando

Expressando is a rock, paper, scissors game made using Python (TensorFlow, Keras and OpenCV)

keras keras-tensorflow machine-learning numpy opencv opencv-python tensorflow

Last synced: 13 Apr 2026

https://github.com/gustavo-venceslau/housing-price

A Machine Learning project to create a model to predict housing prices. The project is based on the example in chapter 2 of the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélion Géron

conda machine-learning matplotlib numpy pandas python sklearn

Last synced: 13 Apr 2026

https://github.com/ayhem18/tinyad

A simple Python library to better understand automatic Differentiation

automatic-differentiation mathematical-programming numpy python3

Last synced: 29 Apr 2026

https://github.com/jim-by/tweet-sentiment-analysis

Sentiment analysis of tweets using TextBlob for labeling and RandomForest for classification.

nltk nltk-tokenizer numpy pandas python random-forest-classifier sklearn textblob-sentiment-analysis

Last synced: 13 Apr 2026

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/rkarahul/ok.win-big-small-predictor

Predict the next “Big” or “Small” outcome on the OK.Win lottery-style game using OCR + time-series features + ML.

joblib numpy opencv-python paddleocr paddlepaddle paddlepaddle-gpu pandas python sckit-learn

Last synced: 13 Apr 2026

https://github.com/sunilsm7/numpy-starter

IPython Notebook(s) demonstrating NumPy functionality.

numpy python

Last synced: 13 Apr 2026

https://github.com/rajsinha7/hand-gesture-recognition

This project serves as a foundation for integrating hand gesture controls into interactive applications like games, presentations, or robotic controls. It features: Real-time hand tracking with MediaPipe Hands and Live visualization of hand landmarks and gesture labels

mediapipe numpy opencv python

Last synced: 13 Apr 2026

https://github.com/alinenog/desenvolve_gb_2022

Formação Desenvolve 2022 do Grupo Boticário na área de dados

data-analysis data-science googlesheet machine-learning numpy pandas python

Last synced: 13 Apr 2026

https://github.com/mahdibehoftadeh/polynomial-regression-co2-emissions

A simple machine learning polynomial regression using a large dataset to learn and predict CO2 emission of a car by its built features like engine size and cylinders

machine-learning matplotlib numpy nural-network pandas polynomial-regression python scikit-learn

Last synced: 22 Feb 2026

https://github.com/prateekrajsrivastav/financial-transition-classification

This project focuses on classifying financial transactions using machine learning techniques. By leveraging labeled data, the model aims to categorize transactions into predefined categories (e.g., "Food," "Transport," "Shopping," etc.).

matplotlib numpy pandas-python scikitlearn-machine-learning seaborn

Last synced: 07 Sep 2025

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/paulo-santos-ds/guia_de_precos_de_veiculos_com_machine_learn

Sistema de predição de preços de carros usados desenvolvido para a Empresa Rusty Bargain

catboost lgbm numpy pandas pyplot python seaborn sklearn time

Last synced: 13 Apr 2026

https://github.com/ivancaez/analisis_dades_microbit

Data analysis of Micro:bit with maplotlib, numpy and pandas

csv jupyter-notebook matplotlib microbit numpy pandas python

Last synced: 13 Apr 2026

https://github.com/chandkund/predicting-diabetes-onset

The "Predicting Diabetes Onset" project aims to build a machine learning model that predicts whether an individual has diabetes based on various health-related features. The dataset used for this project includes attributes related to medical history and physical measurements.

deep-learning numpy pandas python seaborn sklearn-library sklearn-metrics visualization

Last synced: 13 Apr 2026

https://github.com/eesunmoon/aml_project

[Project] Analyzing Fitness Patterns & Building Predictive Models

matplotlib numpy pandas python3 recommender-system scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/pinedah/sleep-data-analysis-exercise

Análisis de un dataset médico sobre el sueño, explorando duración, calidad y factores relacionados. Incluye limpieza de datos, EDA y visualizaciones con Python (pandas, numpy, matplotlib, seaborn, scipy).

data-analysis data-science escom numpy pandas python school-project scipy

Last synced: 13 Apr 2026

https://github.com/joiceo/python

Projetos e exercícios em Python

eda machine-learning numpy pandas python seaborn sklearn

Last synced: 13 Apr 2026

https://github.com/somyaaaaaa2004/travelling-sales-man-problem

This project is a soft computing-based solution to the Traveling Salesman Problem (TSP) using a Genetic Algorithm (GA), implemented entirely from scratch in Python on Google Colab. The goal of the TSP is to find the shortest possible route that visits each city exactly once and returns to the starting point. It's a classic NP-hard combinatorial

genetic-algorithm jupyter-notebook matplotlib-pyplot numpy pandas python travelling-salesman-problem

Last synced: 06 May 2026

https://github.com/anjasfedo/data-analysis

Repo to Explore Data Analysis

data-analysis numpy

Last synced: 13 Apr 2026

https://github.com/zvdy/movie_recommendation

Movie Recommendation Search Engine using Jupyter Notebooks, Pandas, Nnmpy, SciKit Learn, IPyWidgets

data-science jupyter-notebook machine-learning numpy pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/jessicahora/series_temporais

Análise de Series Temporais do Consumo de Energia da Alemanha.

numpy pandas python time-series-analysis

Last synced: 07 Apr 2026

https://github.com/ondiekelijah/shadowcoach-formtracker

A computer vision-based workout form tracking application that uses AI to monitor exercise form, count repetitions, and provide real-time feedback.

mediapipe-pose numpy opencv-python

Last synced: 09 Apr 2025

https://github.com/saifalibaig/covid-19-infection-rate-analysis-using-python

Analysis of Covid-19 Infection rate and the world happiness report to identify if there is any relationship between infection rate and happiness

data-analysis data-visualization jupyter-notebook numpy pandas python3 sns

Last synced: 18 Apr 2026

https://github.com/hari7261/playwithdata-python

This is one of the repository where I have put lot of data science and machine learning related questions on their solutions I hope you will find something better than some other platforms. Thank you Happy exploring

data-analysis data-science data-science-learning machienlearning matplotlib matplotlib-python ml numpy numpy-arrays numpy-library pandas pandas-dataframe pandas-library python python-script sklearn

Last synced: 13 Apr 2026

https://github.com/animesh-chourey/loan-classifier

Trained machine learning algorithms (Logistic Regression, KNN, SVM, Decision Tree) specifically, after performing visualization and pre-preocessing tasks on a loan dataset. Executed the evaluation metrics such as F1-score, Log loss and jaccard-similarity score to assess the algorithms performance.

decision-tree f1-score jaccard-similarity knn logistic-regression logloss matplotlib numpy pandas preprocessing-data svm

Last synced: 06 May 2026

https://github.com/tatmorenno/python_para_data_science

Python para Data Science Introdução à linguagem e Numpy 🌎💻

jupyter-notebook numpy python

Last synced: 13 Apr 2026

https://github.com/tnleite/loan-approval-prediction

Este repositório apresenta um modelo preditivo de aprovação de empréstimos, focado em minimizar o risco de inadimplência. Utilizando EDA e algoritmos de machine learning (Random Forest, XGBoost), ajustamos o threshold para maximizar o recall de inadimplentes, contribuindo para uma gestão de riscos eficiente.

classification-algorithm data-science exploratory-data-analysis machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn scipy seaborn xgboost-classifier

Last synced: 13 Apr 2026

https://github.com/chmohit91/introduction-to-python

A comprehensive collection of Python programming resources, from basics to advanced concepts. Built for learners, by learners

matplotlib numpy pandas plotly python python-library python3 seaborn

Last synced: 13 Apr 2026

https://github.com/tromesh/attendance-predictor

Student Attendance predictor for Scheduling lecture sessions

matplotlib numpy pandas tensorflow

Last synced: 05 May 2026

https://github.com/harmanveer2546/recognizing-digits

I used the MNIST dataset for the implementation of a handwritten digit recognition app. To implement this, will be using a special type of deep neural network called Convolutional Neural Networks. In the end, I also build a Graphical user interface(GUI) where you can directly draw the digit and recognize it straight away.

dense flatten gui keras maxpooling mnist numpy pandas pillow python sequential

Last synced: 13 Apr 2026

https://github.com/iv4n-ga6l/Geometric-ShapesRecognizer-in-image

Geometric shapes recognizer API built in python

api-rest flask numpy opencv python shaperecognitionapi

Last synced: 28 Apr 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/hajaarh/malaria_hematie_cnn

Algorithme de réseaux de neurones convolutionnels

numpy pandas python resnet-50 sklearn-library tensorflow vgg16

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/eny2930/ai-ml-projects

A project demonstrating various libraries and tools in using algorithms in machine learning. This repository includes code samples, datasets, and detailed explanations.

iris-dataset keras linear-regression logistic-regression matplotlib numpy pandas pytorch sckiit-learn seaborn sentiment-analysis

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/shwetapardhi/assignment-04-simple-linear-regression-2

Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-template numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statsmodels t-score

Last synced: 08 May 2026

https://github.com/udacity-machinelearning-internship/support-vector-machine

Implementing SVM's using pandas and sklearn in python

numpy pandas sklearn support-vector-machines svm

Last synced: 13 Apr 2026

https://github.com/rajan-bhateja/data-analysis-with-python

Cleaning, analysis and visualization on various datasets using Python and its various libraries via Jupyter Notebook

data-cleaning data-science jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 30 Apr 2026

https://github.com/1adityakadam/uber_data_analytics

End to end Google Bigquery + Looker Studio Data Analytics Project Transforming NYC Taxi Data into Actionable Intelligence

bigquery looker-studio mage-ai-pipeline numpy pandas sql

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/abhisek-13/whatsapp-chat-analyzer

The WhatsApp Chat Analyzer is a data analysis project that provides insights into WhatsApp chats. It analyzes chat data to show metrics like the number of lines, most used letter, chatting duration, media files shared, most used emojis, and group member activity. The results are displayed on a user-friendly dashboard built with Streamlit.

data-analysis data-mining data-visualization eda machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn sklearn

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/jcm-ai/robust-mlops-elevating-machine-learning-to-production-scale

This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.

aws-ec2 aws-ecr aws-s3 cicd-pipeline data-science docker-image end-to-end exploratory-data-analysis git github-actions html machine-learning-models mlops mlops-project model-deployment mongodb numpy pandas python yaml

Last synced: 09 Apr 2026

https://github.com/moonshallow5/solar-system-simulation

A solar system simulation using the Beeman scheme and the Euler method

matplotlib-animation matplotlib-pyplot numpy

Last synced: 13 May 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/vishant007/annadataa

A Website For Farmers To Guide Them Regarding Crop Prouction In Their Native Language

django flask-application google-collab kaggle machine-learning-algorithms numpy pandas python3 scikit-learn

Last synced: 13 Apr 2026

https://github.com/hilalozdemirbuyukasik/deep-learning

A collection of deep learning projects demonstrating RNNs, BiLSTMs, CNNs, and basic neural networks applied to time series forecasting, text sentiment analysis, image classification, and tabular data tasks, with examples of data preprocessing, model training, evaluation, and visualization.

bilstm cnn keras matplotlib nn numpy rnn scikit-learn tensorflow

Last synced: 12 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/abhinavraj009/x_ray-conversion-csv-

To convert an X-ray image into a CSV format for machine learning or data analysis, you'll typically want to represent the image as numerical pixel values.

machine-learning numpy opencv pandas python

Last synced: 13 Apr 2026

https://github.com/alexpeits/indicator-plot

Gtk3 indicator for generating 2d plots from user input

gtk indicator numpy plot sympy

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/spear97/montecarlo-simulaton

This project involved developing a Monte Carlo Simulation using Python, implemented with libraries like NumPy, Pandas, and Matplotlib within Visual Studio. The program's primary goal is to generate figures illustrating compound interest results over time for a specified amount.

data-science matplotlib matplotlib-figures numpy pandas-python python python-3 python3

Last synced: 13 Apr 2026

https://github.com/tkc/node-neural-network

Built with only pure typescript, neural network iris sample.

javascript machine-learning neural-network node numpy typescript

Last synced: 09 Apr 2026

https://github.com/lingesh81051/similar-template-document-matching-and-fraud-detection

An automated system for a health insurance company to streamline document processing, including template matching and fraud detection, resulting in reduction of processing time.

numpy opencv opencv-python pillow pymupdf pytesseract pytesseract-ocr python tkinter

Last synced: 13 Apr 2026

https://github.com/suap-dev/python-essentials

a repository intended for people who want to know some python basics

lambda-functions numba numpy oop pandas teaching

Last synced: 17 Mar 2025

https://github.com/patex1987/ghcn-temperature-dataset

Analysis of GHCN (Global Historical Climatology Network) temperature dataset using Numpy

climate-data jupyter-notebook numpy python temperature-data

Last synced: 10 May 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/kostadinlambov/time-series-forecasting

This project evaluates the predictive performance of a CNN-LSTM Hybrid deep learning model for Bitcoin price movement prediction.

keras-tensorflow matplotlib-pyplot mlflow numpy optuna pandas python scikit-learn seaborn statsmodels ta-lib tensorflow

Last synced: 07 Apr 2026

https://github.com/elvisrock/government_analysis

Esse projeto, tem como objetivo, analisar, explorar algumas técnicas e propor uma sugestão ao governo de forma geral, sem qualquer viés politico.

data-science machine-learning numpy pandas python sklearn

Last synced: 05 Apr 2026

https://github.com/dibsthegreat/titantic-dataset-analytics

DASC4850 Final Project where I did EDA to determine the survivability of Titanic guests depending on Age, Gender, Wealth, etc.

data-science data-visualization matplotlib numpy pandas python random-forest-classifier

Last synced: 13 Apr 2026

https://github.com/sweta-kaundilya/finance-data-project

This data project focuses on exploratory data analysis of bank stock prices throughout financial crisis all the way to early 2016.

financial-analysis jupyter-notebook matplotlib numpy pandas-python seaborn

Last synced: 16 May 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/farhad-here/height-distribution-analysis

Statistical comparison of height distributions in two groups using mean, standard deviation, and boxplots.

coefficient-of-variation data-analysis interquartile-ranges matplotlib mean numpy python scipy standard-deviation variance

Last synced: 13 Apr 2026

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/sudharshan-bathini/chat-bot-using-cornell-movie-data-set

Developed an AI chatbot using the Cornell Movie Dialogs dataset; trained an LSTM-based model to generate context-aware, conversational responses for user inputs.

keras lstm-sentiment-analysis neural-networks nlp numpy python tensorflow tokenizer

Last synced: 08 Apr 2026

https://github.com/christabelsakyi/tsec

This project implements a time series forecasting solution for predicting electricity consumption based on historical data. It provides multiple model options, a Flask API for deployment, and visualization tools.

facebook numpy pandas python sklearn time-series-analysis

Last synced: 07 Oct 2025

https://github.com/isratafrin826/linear-regression-model

Linear Regression is a statistical method used to model the relationship between a dependent variable (target) and one or more independent variables (features) by fitting a straight line (regression line) to the data. It predicts the target value based on the linear relationship and is commonly used for forecasting and trend analysis.

googlecolaboratory numpy pandas sklearn

Last synced: 03 May 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/NetBr3ak/Planetary-System-Simulation

Planetary System Simulation enables users to simulate the trajectories of two planets in a gravitational system. Through a simple web interface, users can predict planetary movements using technologies such as Flask, NumPy, and SciPy.

astronomy flask gravitational-dynamics numerical-analysis numpy physics planetary-systems scipy simulation web-application

Last synced: 08 Oct 2025

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