Open Source Python Graphics Software - Page 4
Sort By:
Python Graphics Software
View 4878 business solutionsBrowse free open source Python Graphics Software and projects below. Use the toggles on the left to filter open source Python Graphics Software by OS, license, language, programming language, and project status.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
$300 in Free Credit Towards Top Cloud ServicesStart your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
-
1
PyMOL Molecular Graphics System
PyMOL is an OpenGL based molecular visualization system
The Open-Source PyMOL repository has been moved to github: https://github.com/schrodinger/pymol-open-source We still use the pymol-users mailing list here on sourceforge. Please subscribe for community support: https://pymol.org/maillist (Note: SourceForge email newsletter and special offers are optional and can be unchecked) The PyMOL community wiki has its own home: https://pymolwiki.org/ -
2
Video Object Remover – Frame-Accurate
🎥 A free & open-source Python tool to remove unwanted objects from videos frame-by-frame using brush masking and AI inpainting (OpenCV + FFmpeg). EXE included.
Video Object Remover – Frame Accurate Edition is a free and open-source desktop application that helps you remove unwanted objects, logos, or watermarks from videos using brush-based masking and AI inpainting. The tool extracts video frames using FFmpeg, lets you mask objects frame-by-frame, and removes them using OpenCV. Built with Python and Tkinter, it features a modern dark-themed GUI, adjustable brush tool, zoom control, and real-time logging. The cleaned video is rebuilt and exported with original quality. Includes a precompiled Windows EXE for normal users (no Python required) and full source code for developers or students. Perfect for YouTubers, video editors, educators, and open-source enthusiasts. 🖥️ Website: https://projectworlds.in 📺 YouTube: https://youtube.com/@projectworlds 📬 Support: https://projectworlds.in/contact-us -
3
gSculpt is an open source procedural 3D modelling application with a comprehensive set of polygon mesh editing tools.
-
4
UPDATE: Chromium is no longer updated or maintained. The project is frozen. Chromium is a flexible framework for scalable real-time rendering on clusters of workstations, derived from the Stanford WireGL project code base.
-
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
5
Comix is a user-friendly, customizable image viewer. It is specifically designed to handle comic books, but also serves as a generic viewer. It reads images in ZIP, RAR or tar archives (also gzip or bzip2 compressed) as well as plain image files.
-
6
libiptcdata is a standalone C-library for reading and writing the International Press Telecommunications Council (IPTC) metadata contained in various data files such as images.
-
7
UniConvertor
Universal graphics translator
UniConvertor is an universal graphics translator. The project uses sK1 engine to convert one format to another. It has an import filters for: SVG, CDR, CDT, CMX, AI, XAR, CGM, WMF, XFIG, SK, SK1, SK2, CPL, ASE, ACO, JCW, GPL, SOC, SKP, PSD, XCF, PNG, JPG, TIFF, WEBP, BMP, PCX, PPM, XBM, XPM and export filters: SVG, AI, CDR, CMX, PDF, SK, SK1, SK2, CGM, WMF, CPL, ASE, ACO, JCW, GPL, SOC, SKP, PNG. This SourceForge project page is outdated. To download latest UniConvertor binaries, please visit official project site: https://sk1project.net/uc2/ -
8
easycap-app
Capture your screen with unprecedented ease and quality.
Welcome to EasyCap, your ultimate desktop screen recorder and screenshot editor. Designed with simplicity and power in mind, EasyCap is perfect for professionals, creators, and anyone looking to capture their PC activities with ease. Whether you're creating tutorials, recording gameplay, or capturing important moments, EasyCap makes it effortless. -
9
This is a plug-in for the GNU Image Manipulation Program (GIMP) which stitches together a panorama from digital images. The plug-in is written in Python, and requires that you have a GIMP with python support.
-
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
10
FreeCAD-PCB
Import your PCB boards to FreeCAD
[ENG] Mod FreeCAD-PCB allow you to import PCB boards to FreeCAD. Scope of mod: - support for many different layers, - possible to choose colours, transparency and names for each layer, - mod allows you to import IGES models with colours, - possible to show holes/vias independent. [PL] Moduł FreeCAD-PCB pozwala na importowanie płytek PCB do programu FreeCAD. Możliwości modułu: - wsparcie dla wielu różnych warstw, - wyświetlanie otworów, przelotek niezależnie od siebie, - możliwość wyboru koloru, przeźroczystości oraz nazwy dla poszczególnych warstw, - importowanie modeli zapisanych w formacie IGS wraz z kolorami. ***** Supported software: - Eagle (*.brd) - Razen (*.rzp) - FreePCB (*.fpc) - gEDA (*.pcb) - FidoCadJ (*.fcd) - KiCad (*.kicad_pcb) - IDF v2/v3 Requirements: FreeCAD >= 0.14 Project forum: https://sourceforge.net/p/eaglepcb2freecad/forum/ -
11
AnimateDiff
Plug-n-play module turning text-to-image models into animation
AnimateDiff is an open-source project designed to enhance text-to-image diffusion models by adding animation capabilities. It allows users to turn static images generated by popular text-to-image models into animated sequences without requiring additional model training. This plug-and-play tool is compatible with a wide range of community models and facilitates the generation of animation directly from pre-existing text-to-image models. It supports various configurations to create animations with different visual styles, providing flexibility and ease of use for developers and artists interested in exploring dynamic, AI-generated animations. -
12
Web browser plug-in for hosting real 3D on the websites.
-
13
GLE is a library of C functions that draw extruded surfaces, including surfaces of revolution, sweeps, tubes, polycones, polycylinders and helicoids. GLE uses the OpenGL(R) API to perform the actual rendering.
-
14
DreamStudio by Volocian Studios
Free yourself
Volocian believes first and foremost that financial status shouldn’t be a barrier to entry in multimedia content creation. Whether you want to design a product or website, record a band, remix a song, or produce a feature length movie with professional post production graphics and effects, Volocian™ wants to help, even if you’re using borrowed hardware with no previous experience. We provide affordable products and services for any budget, including cost-free solutions for education and demo purposes, while everything we do is designed with ease of use and flexibility in mind, to suit everyone from novice hobbyists to expert professionals. Wherever possible, Volocian™ relies on free, open source, and cross-platform software to prevent vendor lock-in, planned obsolescence, and software as a service licensing. While we remain pragmatic about the use of proprietary software, as we’re aware of the feature limitations of some open source solutions, free solutions are preferred. -
15
Emoji for Python
emoji terminal output for Python
Emoji for Python. This project was inspired by kyokomi. The entire set of Emoji codes as defined by the Unicode consortium is supported in addition to a bunch of aliases. By default, only the official list is enabled but doing emoji.emojize(language='alias') enables both the full list and aliases. By default, the language is English (language='en') but also supported languages are Spanish ('es'), Portuguese ('pt'), Italian ('it'), French ('fr'), German ('de'). The utils/get-codes-from-unicode-consortium.py may help when updating unicode_codes.py but is not guaranteed to work. Generally speaking it scrapes a table on the Unicode Consortium's website with BeautifulSoup and prints the contents to stdout in a more useful format. -
16
Kornia
Open Source Differentiable Computer Vision Library
Kornia is a differentiable computer vision library for PyTorch. It consists of a set of routines and differentiable modules to solve generic computer vision problems. At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions. Inspired by existing packages, this library is composed by a subset of packages containing operators that can be inserted within neural networks to train models to perform image transformations, epipolar geometry, depth estimation, and low-level image processing such as filtering and edge detection that operate directly on tensors. With Kornia we fill the gap between classical and deep computer vision that implements standard and advanced vision algorithms for AI. Our libraries and initiatives are always according to the community needs. -
17
Mesh R-CNN
code for Mesh R-CNN, ICCV 2019
Mesh R-CNN is a 3D reconstruction and object understanding framework developed by Facebook Research that extends Mask R-CNN into the 3D domain. Built on top of Detectron2 and PyTorch3D, Mesh R-CNN enables end-to-end 3D mesh prediction directly from single RGB images. The model learns to detect, segment, and reconstruct detailed 3D mesh representations of objects in natural images, bridging the gap between 2D perception and 3D understanding. Unlike voxel-based or point-based approaches, Mesh R-CNN uses a differentiable mesh representation, allowing it to efficiently refine surface geometry while maintaining high spatial detail. The system combines 2D detection from Mask R-CNN with 3D reasoning modules that output full mesh reconstructions aligned with the input image. It has been evaluated on datasets such as Pix3D, where it demonstrates state-of-the-art performance in reconstructing real-world object geometry. -
18
Objectron
A dataset of short, object-centric video clips
The Objectron dataset is a collection of short, object-centric video clips, which are accompanied by AR session metadata that includes camera poses, sparse point-clouds and characterization of the planar surfaces in the surrounding environment. In each video, the camera moves around the object, capturing it from different angles. The data also contain manually annotated 3D bounding boxes for each object, which describe the object’s position, orientation, and dimensions. The dataset consists of 15K annotated video clips supplemented with over 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes. In addition, to ensure geo-diversity, our dataset is collected from 10 countries across five continents. Along with the dataset, we are also sharing a 3D object detection solution for four categories of objects — shoes, chairs, mugs, and cameras. -
19
Perfect Pixel
Refine and quantize messy AI pixel art into clean, perfect pixels
perfectPixel is a workflow tool for turning messy “pixel-style” images, especially those produced by generative models, into truly grid-aligned pixel art that reads cleanly at any scale. It tackles a common problem with AI pixel art: edges that look pixelated at first glance but are not actually aligned to a coherent pixel grid, which causes shimmer, blur, and uneven block sizes when you zoom in. The tool analyzes an image to infer the intended grid size, then refines and quantizes the artwork so pixels snap into consistent cells and the final result looks crisp and intentional. This makes it useful for game developers, sprite artists, and hobbyists who want to use AI-assisted ideation without shipping “almost pixel art” assets. It is designed to be easy to slot into an existing pipeline, whether you are batch-processing images or cleaning up a few key assets for a project. -
20
SCAIL
Towards Studio-Grade Character Animation via In-Context Learning of 3D
SCAIL is a project developed by the ZAI Organization, focusing on AI-driven research initiatives. While specific documentation about SCAIL’s exact goals and implementation is limited from the repository context alone, the project appears to be part of a collection of machine learning and AI research tools that facilitate scalable model development, evaluation, or application workflows. Given its listing alongside other ZAI projects like speech recognition and text-to-speech systems, SCAIL likely emphasizes scalable, composable AI learning frameworks that support researchers and practitioners in experimenting with learning algorithms, datasets, and model components. The repository structure suggests a focus on flexibility and extensibility, with potential integration into other ZAI tooling for training or analysis. -
21
Stable Diffusion Rembg
Removes backgrounds from pictures. Extension for webui
This project is an extension for the Stable Diffusion Web UI that removes backgrounds from images directly inside the interface. It wraps popular background-removal models so creators can take a generated or uploaded image and isolate the subject with a single click. The workflow is designed to be non-destructive: you can preview, tweak thresholds, and export either a transparent PNG or a masked layer for further editing. Because it runs within the Web UI, you can chain it with other operations such as upscaling, inpainting, or ControlNet to refine edges and composites. Batch processing helps clear backgrounds from whole sets of renders, which is useful for asset pipelines, catalogs, and thumbnails. The extension aims for convenience and predictable results, sparing users from round-tripping through separate editors just to knock out a background. -
22
VGGSfM
VGGSfM: Visual Geometry Grounded Deep Structure From Motion
VGGSfM is an advanced structure-from-motion (SfM) framework jointly developed by Meta AI Research (GenAI) and the University of Oxford’s Visual Geometry Group (VGG). It reconstructs 3D geometry, dense depth, and camera poses directly from unordered or sequential images and videos. The system combines learned feature matching and geometric optimization to generate high-quality camera calibrations, sparse/dense point clouds, and depth maps in standard COLMAP format. Version 2.0 adds support for dynamic scene handling, dense point cloud export, video-based reconstruction (1000+ frames), and integration with Gaussian Splatting pipelines. It leverages tools like PyCOLMAP, poselib, LightGlue, and PyTorch3D for feature matching, pose estimation, and visualization. With minimal configuration, users can process single scenes or full video sequences, apply motion masks to exclude moving objects, and train neural radiance or splatting models directly from reconstructed outputs. -
23
plotly.py
The interactive graphing library for Python
plotly.py is a browser-based, open source graphing library for Python that lets you create beautiful, interactive, publication-quality graphs. Built on top of plotly.js, it is a high-level, declarative charting library that ships with more than 30 chart types. Everything from statistical charts and scientific charts, through to maps, 3D graphs and animations, plotly.py lets you create them all. Graphs made with plotly.py can be viewed in Jupyter notebooks, standalone HTML files, or hosted online using Chart Studio Cloud. -
24
pybaselines
Library of algorithms for baseline correction of experimental data
pybaselines is a Python library that provides many different algorithms for performing baseline correction on data from experimental techniques such as Raman, FTIR, NMR, XRD, XRF, PIXE, etc. The aim of the project is to provide a semi-unified API to allow quick testing and comparing multiple baseline correction algorithms to find the best one for a set of data. pybaselines has 50+ baseline correction algorithms. These include popular algorithms, such as AsLS, airPLS, ModPoly, and SNIP, as well as many lesser-known algorithms. Most algorithms are adapted directly from literature, although there are a few that are unique to pybaselines, such as penalized spline versions of Whittaker-smoothing-based algorithms. The full list of implemented algorithms can be found in the documentation. -
25
pyntcloud
pyntcloud is a Python library for working with 3D point clouds
This page will introduce the general concept of point clouds and illustrate the capabilities of pyntcloud as a point cloud processing tool. Point clouds are one of the most relevant entities for representing three dimensional data these days, along with polygonal meshes (which are just a special case of point clouds with connectivity graph attached). In its simplest form, a point cloud is a set of points in a cartesian coordinate system. Accurate 3D point clouds can nowadays be (easily and cheaply) acquired from different sources. pyntcloud enables simple and interactive exploration of point cloud data, regardless of which sensor was used to generate it or what the use case is. Although it was built for being used on Jupyter Notebooks, the library is suitable for other kinds of uses. pyntcloud is composed of several modules (as independent as possible) that englobe common point cloud processing operations.
