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.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/shwetapardhi/assignment-1-q7--basic-statistics-level-1
Q7) Calculate Mean, Median, Mode, Variance, Standard Deviation, Range & comment about the values / draw inferences, for the given dataset For Points,Score,Weigh> Find Mean, Median, Mode, Variance, Standard Deviation, and Range and also Comment about the values/ Draw some inferences. Use Q7.csv file
mean median mode numpy pandas python range standard-deviation variance
Last synced: 05 May 2026
https://github.com/ljadhav25/django-data-analyzer
Django Data Analyzer is a web application built using the Django framework, designed to streamline data analysis tasks. Users can upload CSV files containing data for analysis. The application utilizes the powerful data manipulation capabilities of Python libraries like pandas and numpy to perform various analyses on the uploaded data.
data-analysis data-visualization django-application matplotlib numpy pandas python seaborn
Last synced: 01 Mar 2026
https://github.com/gehad-ahmed30/hand-gesture-volume-control
This repository features innovative projects using OpenCV, highlighting the power of computer vision. With detailed documentation and source code, developers can easily learn various techniques. Explore to enhance your understanding of image processing and object detection! 🚀
mediapipe numpy opencv pyautogui python
Last synced: 08 Apr 2026
https://github.com/akku-1206/spotify_data_analysis
Spotify Tracks Analysis Overview This project performs an exploratory data analysis (EDA) on Spotify music data to uncover insights and correlations related to song features, popularity, and genre.
matplotlib numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/piyushamukherjee/fuxi
– A Cascade Machine Learning Forecasting System for 15-Day Global Weather Prediction
ml numpy pandas tensorflow weather-forecast
Last synced: 13 Apr 2026
https://github.com/yadavkaushal/datascience-e-commerce-shopping-details
This project analyzes customer purchase data including details such as location, company, credit card usage, browser info, job roles and purchase price. It explores patterns in payment methods, spending behavior and online transactions. Using Pandas, Matplotlib and Seaborn, we clean analyze and visualize key trends to derive actionable insights.
data datacleaning dataframe datapreprocessing dataset libraries matplotlib numpy pandas plots visulaization
Last synced: 06 May 2026
https://github.com/tapas-gope/telecommunication-customer-churn
This project involves predicting customer churn in a telecommunications company using machine learning techniques, exploring various features' impact, optimizing models, and identifying key factors influencing churn.
feature-engineering matplotlib-pyplot model-evaluation-and-validation numpy pandas python scikit-learn
Last synced: 12 Sep 2025
https://github.com/grandmoff100/pygrids
Dimensional Data Manipulation and Spreadsheet-like pretty grids.
arrays grids hacktoberfest numpy python spreadsheet
Last synced: 18 May 2026
https://github.com/asuquoaa/energy-_gdp-_and_scimago_rankings_analysis-2006-2015
Analysis of top 15 countries in energy, renewables, and GDP using three global datasets.
Last synced: 01 May 2026
https://github.com/lordy5/ml-algorithms
Implementing ml algorithms from scratch to learn how they work.
from-scratch machine-learning ml numpy
Last synced: 05 Apr 2025
https://github.com/khushi130404/outlier_exterminator
Outlier_Exterminator is a Python tool for detecting and treating outliers using IQR, Z-Score, and Percentile methods. It supports trimming, capping, and Winsorization, demonstrated in a Jupyter Notebook.
capping iqr machine-learning numpy percentile-method trimming winsorization z-score
Last synced: 18 May 2026
https://github.com/lmizner/codecademy_auto_evaluation
Summarized categorical variables in Python using numerical summary statistics.
categorical-data frequency jupyter-notebook median numpy pandas proportion python
Last synced: 07 May 2026
https://github.com/harishtpj/rawnn
A minimal Neural Network framework written from scratch
framework neural-network numpy python
Last synced: 11 Jun 2026
https://github.com/alexsolov28/ml_nir
Научно-исследовательская работа на тему «Прогнозирование цен на жилье»
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 20 Jan 2026
https://github.com/ghsaboias/glasses-ai
Real-time object detection system using Meta Ray-Ban AI Glasses and YOLOv8 Nano, processing Instagram livestream for visual analysis
ai meta-ai mss numpy object-detection ultralytics
Last synced: 18 May 2026
https://github.com/kisaa-fatima/object-detection-using-yolo-v8
From this project I gained practical experience in AI, computer vision, and GUI development, while also understanding the importance of automation in retail processes.
computer-vision gui numpy opencv-python pil roboflow tkinter yolov8
Last synced: 18 May 2026
https://github.com/jaewonson37/python_programming
algorithms data-structures encapsulation exception-handling functions loop matplotlib monte-carlo numpy object-oriented-programming pandas prototyping pseudo-random-number-generation python recursion top-down unit-testing visualization webcrawling
Last synced: 09 May 2026
https://github.com/nikita620/churn-prediction-using-ann
minor project for Python and AI
artificial-neural-networks matplotlib numpy pandas
Last synced: 03 May 2026
https://github.com/chenna7893/enhancing-customer-retention-a-machine-learning-approach-to-churn-prediction
Churn prediction using machine learning models like Random Forest, Decision Tree, and XGBoost involves identifying customers who are likely to stop using a company's services.
decision-tree-classifier matplotlib numpy pandas random-forest-classifier xgboost
Last synced: 02 May 2026
https://github.com/rahulchouhan1/air-quality-data-in-india
India Air Quality Analysis (2015-2024)
matplotlib numpy pandas python
Last synced: 11 Apr 2026
https://github.com/karthik9273/electric-vehicle-market-segmentation
Electric Vehicle market in India using Segmentation analysis and come up with a feasible strategy to enter the market, targeting the segments most likely to use Electric vehicles.
data-science machine-learning-algorithms matplotlib numpy numpy-arrays pandas seaborn statistics
Last synced: 18 Apr 2026
https://github.com/youssefali11997/100-numpy-exercises
100 exercise on NumPy library. NumPy (Numerical Python) is a package used for scientific computing with Python.
Last synced: 18 May 2026
https://github.com/ugurcan222/a-different-approach--image-enhancement-with-imputation-and-regression-methods
This experimental work presents a different approach to increase the size and quality of an image by adding a blank pixel around each pixel in an image, enlarging the image, breaking it into parts, and generating these blank pixels by predicting them with models.
ai-image-upscaling computer-vision digital-image-processing gradient-boosting image-analysis image-enhancement image-enlargement image-interpolation image-processing imputation knn machine-learning numpy opencv pixel-prediction python randomforest regression-models super-resolution xgboost
Last synced: 17 Jan 2026
https://github.com/0xkibh/books-recommendation-system
This is the website with collections of top readed books with the functionaliy of recommendation system. It basically recommends the book on the basis of given books. It also shows data of different books available.
bootstrap css flask font-awesome html numpy pandas pickle
Last synced: 07 Apr 2026
https://github.com/harmanveer2546/house-price-prediction-using-machine-learning
We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.
catboost-classifier linear-regression machine-learning matplotlib numpy pandas python random-forest seaborn support-vector-machine
Last synced: 07 Apr 2026
https://github.com/yusufterzii/numpybasics
numpy numpy-arrays numpy-exercises
Last synced: 18 May 2026
https://github.com/bishopce16/world_weather_analysis
The project’s objective is to improve a travel app to give customers a way to decide their travel destination and ideal hotel based on weather preferences.
apis citipy datetime gmaps json-traversal jupyter-notebook matplotlib numpy pandas python requests scipy
Last synced: 13 Apr 2026
https://github.com/farzeennimran/moon-phases-prediction-using-ai
Deep learning model that predicts the phase of the moon 🌒🌓🌔🌕🌖🌗🌘
artificial-intelligence cnn cv2-library data-science data-visualization deep-learning keras matplotlib numpy opencv predictive-modeling python tensorflow
Last synced: 07 Apr 2026
https://github.com/brenderb/python-projects
General interest and school python projects I completed. Included are lab analysis files (with uncertainty analysis, fitting, and graphing), simulation files (visualization of electric+magnetic fields, etc), specific research project files (data extraction + processing for a building science lab, graphs for a medical physics paper) and misc files
csv fitting matlab matplotlib numpy os pandas pyplot python scipy uncertainty
Last synced: 05 Apr 2025
https://github.com/vbhvsingh0/deforestation_rainfall_correlation
The aim of this project is to check if there is any correlation of rainfall with deforestation in Pennsylvania state of USA.
correlation-analysis data-science matplotlib-pyplot numpy pandas python3
Last synced: 29 Apr 2026
https://github.com/technologicat/orderfix
Reorder solutions of parametric studies to make continuous curves
cython eigenvalues numpy postprocessing python python2 python27 python3 python34
Last synced: 25 Jan 2026
https://github.com/harmanveer-2546/motor-vehicle-accidents-in-india
As per the report, a total of 4,61,312 road accidents have been reported by States and Union Territories (UTs) during the calendar year 2022, which claimed 1,68,491 lives and caused injuries to 4,43,366 persons.
accidents accidents-analysis darkgrid data-analysis eda exploratory-data-analysis indian-roads inline matplotlib motor-vehicles numpy pandas review seaborn visualization
Last synced: 19 Jan 2026
https://github.com/harmanveer-2546/guide-to-regularization
Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.
generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn
Last synced: 05 Apr 2025
https://github.com/harmanveer-2546/ad-click-prediction-analysis-and-insights
To predict whether a user will click on ad or not.
ads analysis classification-report click insights linearregression matplotlib numpy onehotencoder pandas pipeline prediction preprocessing randomforestclassifier seaborn sklearn sklearn-compose sklearn-library sklearn-metrics standardscaler
Last synced: 27 Jan 2026
https://github.com/chandkund/predicting-heart-disease
Welcome to the Heart Disease Prediction project! 🩺 This project focuses on developing a predictive model to assess heart disease risk based on health indicators like age, cholesterol levels, and blood pressure. By analyzing these features, we aim to create an effective tool for early diagnosis and heart disease prevention
machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 18 Jan 2026
https://github.com/hanzopgp/tensorflowtest
Learning how to use jupyter notebook, tensorflow, numpy and other librairies for machine learning projects. Following Thibaut Neveu's tutorial.
artificial-intelligence convolutional-neural-networks deep-learning lstm-neural-networks machine-learning matplotlib multilayer-neural-networks numpy personal recurrent-neural-networks sklearn tensorflow
Last synced: 07 Apr 2026
https://github.com/hansalemaos/stridesduplicatefinder
Calculate overlapping values between two arrays and return the results as a DataFrame
duplicates fast numexpr numpy strides
Last synced: 07 Mar 2026
https://github.com/orthoin3d/django-ndarrayfield
New Django field to store numpy ndarray.
django django-fields numpy numpy-arrays
Last synced: 07 Mar 2026
https://github.com/hi-shekhar/data_science
Data science
algorithm-comparison decision-trees keras kmeans linear-regression logistic-regression numpy pandas python sentiment-analysis svm time-series visualization webcrawler
Last synced: 05 Apr 2026
https://github.com/bbergerud/tenops
Creating a common interface for numpy, pytorch, tensorflow, etc.
Last synced: 20 Jan 2026
https://github.com/johanntf/direccion_maximo_crecimiento
Dirección de máximo crecimiento en una función multivariable dado un punto de partida
customtkinter matplotlib numpy python
Last synced: 18 May 2026
https://github.com/sultanazhari/customer-habit-analysis-model
Megaline company wants to develop a model that can analyze consumer behavior and recommend one of Megaline's two new plans: Smart or Ultra. In this classification task, we need to develop a model that is able to choose the right package
accuracy-score decision-tree-classifier logistic-regression matplotlib-pyplot numpy pandas python3 random-forest-classifier seaborn train-test-using-sklearn
Last synced: 11 Apr 2026
https://github.com/dor-sketch/audio-visual-synth
Combining real-time graphics, audio synthesis, and interactive elements to create an engaging, cross-platform music visualizer.
image-processing midi-player music-composition musicsheet notes-tool numpy pygame pygbag pyopengl
Last synced: 18 May 2026
https://github.com/yash22222/analysis-of-amcat-aspiring-minds
Analyzing employment outcomes for engineering graduates based on a provided dataset. Specifically, it aims to verify a claim regarding the salary range for fresh graduates in certain engineering roles and investigate potential relationships between gender and specialization preferences.
amcat aspiring-minds charts computer-engineering data-analytics data-vizualisation dataset graph machine-learning matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/altaris/turbo-broccoli
JSON (de)serialization extensions
bokeh json keras numpy pandas pytorch serialization sklearn tensorflow
Last synced: 04 Jan 2026
https://github.com/kr1shnasomani/facetronix
A toolkit for face detection, annotation, and mask recognition.
computer-vision deep-learning keras neural-network numpy opencv tensorflow
Last synced: 05 Apr 2026
https://github.com/muhkartal/fr-framework
A modular and extensible face recognition framework featuring real-time detection, facial landmark analysis, and recognition with API support.
dlib face-recognition fastapi numpy opencv pillow pydantic python-multipart requests scipy uvicorn
Last synced: 13 Apr 2026
https://github.com/raminbadri/machine-learning-with-python
This where I will upload all my machine learning projects and samples
classification clustering data-science jupyter-notebook machine-learning matplotlib numpy pandas python3 regreession scikit-learn
Last synced: 12 Apr 2026
https://github.com/lgope/book-recommender-system
Book recommender system a Collaborative Filtering Based Recommender System using Machine Learning, Numpy, Pandas Python, Flask, Kaggle Dataset
collaborative-filtering flask html-css jupyter-notebook kaggle-dataset machine-learning numpy pandas python
Last synced: 13 Apr 2026
https://github.com/sudarshanc00/brain-tumor-classification
This project uses a deep learning model in PyTorch to classify brain MRI images into four tumor types, aiding early diagnosis and treatment planning. Two ResNet-based models were developed and optimized, achieving high accuracy to support healthcare professionals in identifying tumor categories.
matplotlib numpy pytorch resnet scikit-learn streamlit
Last synced: 10 Apr 2026
https://github.com/mathensley/asimpleneuralnetworklib
A simple library in Python for training datasets using neural network models
deep-learning neural-networks numpy python
Last synced: 19 Apr 2026
https://github.com/blinksta1ker/spam-mail-classification
Supervised ML model using Logistic Regression model to classify an email as Ham or Spam
jupyter-notebook logistic-regression machine-learning numpy pandas python sklearn supervised-machine-learning
Last synced: 09 Apr 2026
https://github.com/mnitin-reddy/image-compression-using-k-means-clustering
This project implements the K-means algorithm for clustering and image compression. It reduces the number of colors in an image using K-means, achieving compression while maintaining key visual features. The project demonstrates the process on a sample dataset and a real image.
image-processing imagecompression kmeans-clustering machine-learning matplotlib numpy
Last synced: 19 May 2026
https://github.com/Madhuresh2011/Leetcode-Questions-Analysis-Using-Python
The LeetCode Question Analysis is a Python-based project designed to help users analyze and gain insights into LeetCode problems. It allows users to track, categorize, and evaluate their progress, identify patterns in problem-solving, and optimize the preparation.
analysis csv-files matplotlib-pyplot numpy pandas python python-project seaborn
Last synced: 13 Sep 2025
https://github.com/omarnahhass/crypto-cast
CryptoCast is a machine learning-powered tool that showcases three fundamental prediction models for forecasting cryptocurrency prices
cryptocurrency machine-learning numpy pandas python
Last synced: 05 May 2026
https://github.com/elmezianech/email-spam-ham-classifier-lr
Email Classifier: A machine learning project using Python that categorizes emails into spam and ham (non-spam). Utilizes the Scikit-Learn library, employing logistic regression and TF-IDF (Term Frequency-Inverse Document Frequency) vectorization for text analysis and classification.
ai emails jupyter-notebook logistic-regression machine-learning ml numpy pandas python spam-detection spam-filtering tfidfvectorizer
Last synced: 09 Apr 2026
https://github.com/sagravela/plotground
Plotting Tool with Matplotlib and Tkinter. Video Demo:
matplotlib numpy python tkinter
Last synced: 19 May 2026
https://github.com/martinkersner/kmeans-meetup
Presentation about k-Means for Seoul AI Meetup on July 22, 2017.
kmeans numpy python scikit-learn
Last synced: 03 May 2026
https://github.com/andreazoccatelli/knn_fromscratch
knn implementation in numpy
classification knn-classifier machine-learning numpy
Last synced: 19 May 2026
https://github.com/ashishsingh789/customer_purchase_prediction_using_decision-tree-_classifier
Decision Tree Classifier to predict customer purchases using demographic and behavioral data. Key steps: data preprocessing, EDA, model training, evaluation, and feature importance analysis.
data datascience desiciontree eda machine-learning-algorithms matplotlib numpy pandas-dataframe python seaborn
Last synced: 11 Apr 2026
https://github.com/abideen-olawuwo/loan
A loan prediction modes
adaboostclassifier catboost-classifier gaussian knearest-neighbor-algorithm linear-svc logistic-regression matplotlib naive-bayes-classifier numpy pandas sklearn xgboost
Last synced: 10 Apr 2026
https://github.com/hariprasath-v/machinehack-odetocode_predicting_weather_using_alien_fruit_properties
Identify the type of climate the exoplanet has based on the properties of the fruit by using machine learning.
catboost machine-learning matplotlib numpy pandas seaborn shap sklearn
Last synced: 11 Apr 2026
https://github.com/ashwathdazur/understanding-ds-using-python
Python NumPy, Pandas, Matplotlib and Seaborn for Data Analysis, Data Science and ML. Pre-machine learning Analysis.
data-science dataanalysis matplotlib numpy panda python3
Last synced: 19 May 2026
https://github.com/subratamondal1/machine-learning
Machine Learning Notes with tools like Numpy, Pandas, Scikit-Learn.
machine-learning numpy pandas scikit-learn
Last synced: 10 Apr 2026
https://github.com/labex-labs/quick-start-with-numpy
Quick Start with NumPy | This repo collects 15 of programming labs exercises for Quick Start with NumPy. This course will teach you the fundamentals of NumPy, a library that supports many mathematical operations.
challenges course exercises hands-on labex labs numpy playgroud programming python
Last synced: 31 Dec 2025
https://github.com/makiato1999/strokepredict-datascience
McMaster University CSE780 Project
multilayer-perceptron-network numpy pandas random-forest-classifier scikit-learn
Last synced: 06 Apr 2026
https://github.com/arufonsekun/machine-learning-models
Machine Learning algorithms and related study notes.
Last synced: 19 May 2026
https://github.com/manishbisht/machine-learning
Machine Learning
data-analysis data-mining machine-learning machine-learning-algorithms machinelearning numpy pandas python
Last synced: 13 Apr 2026
https://github.com/ireneflorez/e_commerce_a_b_test_analysis
website A/B test data analysis
data-analysis jupyter-notebook matplotlib numpy pandas python statsmodels
Last synced: 14 Apr 2026
https://github.com/sweta-kaundilya/911-calls-capstone-project
For this capstone project we will be analyzing some 911 call data from Kaggle.
data data-analysis data-visualization jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 28 Apr 2026
https://github.com/keyurparalkar/exoplanet-hunting-in-deep-space
The Search for New Earths
deep-learning gradient-descent jupyter-notebook machine-learning neural-network numpy
Last synced: 19 May 2026
https://github.com/eljandoubi/smart-beta-and-portfolio-optimization
Implementation of Smart Beta and Portfolio Optimization
cvxpy numpy optimization pandas portfolio-optimization trading trading-algorithms trading-strategies
Last synced: 19 May 2026
https://github.com/pkx8326/blackjack-weighted-random-choices-visualization-with-numpy-and-python
This is a small project to test and visualize the result of the weighted probability capability of Python's numpy.random.choice()
blackjack blackjack-game choice jupyter-notebook numpy python random weighted-probability weighted-random
Last synced: 04 May 2026
https://github.com/msikorski93/linear-regression-from-scratch
Different solutions of linear and polynomial regression made from scratch.
from-scratch linear-regression numpy polynomial-regression tensorflow
Last synced: 08 May 2026
https://github.com/mohammadshabazuddin/secure-image-classification---deep-learning-for-image-based-authentication
This project implements a CNN to classify CAPTCHA images. The code preprocesses images, applies Otsu's thresholding, and uses morphological transformations for character separation. The CNN model includes convolutional, batch normalization, dropout, and fully connected layers. Training, validation, and testing are performed on labeled datasets.
keras numpy opencv pandas pil python tensorflow
Last synced: 08 Apr 2026
https://github.com/tomaslopera/modelos-simulacion
jupyter-notebook matplotlib numpy pandas scipy seaborn simulation-modeling
Last synced: 24 Feb 2025
https://github.com/kartmaan/fire-simulation
A realistic simulation of fire propagation using thermodynamic and combustion principles, developed in Python with Pygame and NumPy
combustion combustion-models fire fire-simulation heat-transfer ignition materials materials-science numpy pygame simulation thermal-capacity thermal-conductivity
Last synced: 19 Aug 2025
https://github.com/andreazoccatelli/kmeans_fromscratch
kmeans implementation in numpy
clustering kmeans-clustering machine-learning numpy
Last synced: 04 May 2026
https://github.com/abideen-olawuwo/spam-detection
A spam detection model
matplotlib nltk numpy pandas seaborn
Last synced: 29 Apr 2026
https://github.com/krichelj/dl_bgu_2021
Deep Learning course, Computer Science M.Sc., Ben Gurion University of the Negev, Israel, 2021
computer-science computer-vision computer-vision-algorithms convolutional-neural-networks deep-learning facial-recognition generative-adversarial-network neural-network nlp numpy recurrent-neural-networks rnn siamese-neural-network supervised-learning tensorboard tensorflow tensorflow-models text-generation
Last synced: 03 Feb 2026
https://github.com/rajiv2004-cloud/the-wine-project
AI/ML mini Project repo
algorithm dataset maachine-learning numpy prediction python
Last synced: 02 May 2026
https://github.com/kristijanh1998/reu-summer-internship
Helium Network Blockchain Data Analysis - Big data mining research project for Cybersecurity Research in a Multidisciplinary Environment internship program (Old Dominion University, Summer 2022)
analytics api big-data blockchain-technology cryptocurrency data-mining data-science helium-blockchain helium-network internet-of-things json matplotlib numpy pickle python requests-library-python
Last synced: 10 Apr 2026
https://github.com/alanmenchaca/numpy-notes
collection of notes to learn numpy!
jupyter-notebooks numpy python
Last synced: 08 May 2026
https://github.com/kientech/breast-cancer-classification-using-machine-learning
The goal is to leverage data-driven models to assist in the early detection and diagnosis of breast cancer, potentially aiding healthcare professionals in making informed decisions
data-science machine-learning numpy pandas python3 scikitlearn-machine-learning seaborn
Last synced: 22 Mar 2025
https://github.com/emanuelefavero/machine-learning
This repository contains code for various machine learning concepts and algorithms
algorithms machine-learning numpy pandas python
Last synced: 13 Apr 2026
https://github.com/maheera421/supervised-machine-learning
Implementation of necessary supervised machine learning algorithms for regression and classification.
classification classification-models cost-function feature-engineering feature-scaling gradient-descent linear-function linear-regression logistic-loss logistic-regression machine-learning matplotlib numpy regression-models regularization-to-avoid-overfitting scikit-learn sigmoid-function squared-error-cost-function vectorization
Last synced: 11 Apr 2026
https://github.com/Kikobuf/3d-file-toolkit
Pure-Python toolkit for inspecting, editing, converting, and analyzing 3D print files, supports 3MF, STL, OBJ, PLY, and GLB. Detects source software (Bambu, Orca, Prusa, Cura, Fusion 360, etc.), checks compatibility across 15 CAD and slicer programs, and works with any AI coding agent (Claude, Cursor, ChatGPT, Manus). Zero dependencies beyond numpy
3d-printing 3mf ai-agent bambu chatgpt cluade cluade-code gemini manus numpy obj orca-slicer prusaslicer python stl
Last synced: 20 May 2026
