{"id":26955,"url":"https://github.com/eitcom/awesome-eit","name":"awesome-eit","description":"Awesome EIT (Electrical Impedance Tomography) libraries and applications.","projects_count":34,"last_synced_at":"2026-05-18T16:00:39.079Z","repository":{"id":145213157,"uuid":"515993168","full_name":"eitcom/awesome-eit","owner":"eitcom","description":"Awesome EIT (Electrical Impedance Tomography) libraries and applications.","archived":false,"fork":false,"pushed_at":"2022-07-21T01:19:34.000Z","size":6,"stargazers_count":30,"open_issues_count":0,"forks_count":3,"subscribers_count":3,"default_branch":"master","last_synced_at":"2026-04-16T03:01:52.940Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/eitcom.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2022-07-20T13:27:50.000Z","updated_at":"2026-04-15T04:41:47.000Z","dependencies_parsed_at":"2024-01-16T00:17:58.022Z","dependency_job_id":"d3b009c8-e5ee-4990-a6ad-927079a9dd16","html_url":"https://github.com/eitcom/awesome-eit","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/eitcom/awesome-eit","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eitcom%2Fawesome-eit","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eitcom%2Fawesome-eit/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eitcom%2Fawesome-eit/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eitcom%2Fawesome-eit/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/eitcom","download_url":"https://codeload.github.com/eitcom/awesome-eit/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eitcom%2Fawesome-eit/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32521113,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-02T01:12:54.858Z","status":"online","status_checked_at":"2026-05-02T02:00:05.923Z","response_time":132,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"created_at":"2024-01-13T12:57:22.045Z","updated_at":"2026-05-18T16:00:39.080Z","primary_language":null,"list_of_lists":false,"displayable":true,"categories":["Community","Modeling and Meshes","EIT simulation libraries","EIT Hardwares","EIT Imaging Algorithms","Visualization","Fantastic Applications"],"sub_categories":[],"readme":"# Awesome EIT (Electrical Impedance Tomography)\n\nThis repository tracks some awesome EIT (Electrical Impedance Tomography) libraries and applications.\n\nIf you find some links that may be interesting or related to EIT, please **fork this project and commit a PR!**\n\n## Contents\n\n  - [EIT simulation libraries](#eit-simulation-libraries)\n  - [EIT Hardwares](#eit-hardwares)\n  - [EIT Imaging Algorithms](#eit-imaging-algorithms)\n  - [Modeling and Meshes](#modeling-and-meshes)\n  - [Visualization](#visualization)\n  - [Fantastic Applications](#fantastic-applications)\n  - [Community](#community)\n\n## EIT simulation libraries\n\nThe simulation library means that a standalone toolkit for EIT simulation, algorithm, and data pre- and post- processing. This section includes both EIT and MIT.\n\n  - [pyEIT](https://github.com/liubenyuan/pyEIT). pyEIT is a python-based, open-source framework for Electrical Impedance Tomography (EIT). From **pyeit**.\n  - [CEIT](https://github.com/zehao99/CEIT). Python Package for EIT(Electric Impedance Tomography)-like method on detecting capacitance Density Distribution.\n  - [EITPipelineExample](https://github.com/EIT-team/EITPipelineExample). Making EIT images. How to go from Geometry -\u003e Mesh -\u003e Forward -\u003e Inverse -\u003e EIT image. From **EIT-team**.\n  - [MIT_Forward](https://github.com/rosskynch/MIT_Forward). An MIT Forward Solver. This code is provided to solve the eddy current approximation of the time-harmonic Maxwell equations. *Note: This is by far the only open sourced MIT forward simulation toolkit on github.*\n\nNot actively developed,\n  - [rahul-sb/EIT](https://github.com/rahul-sb/EIT). *Note: last update 2019.*\n  - [Forgotten/EIT](https://github.com/Forgotten/EIT). Solving EIT via PDE constrained optimization. *Note: unkown status, need tracking.*\n\n## EIT Hardwares\n\nSome open source (or partial OSS) EIT hardwares:\n  - [ScouseTom](https://github.com/EIT-team/ScouseTom). From **EIT-team**.\n  - [OpenEIT/EIT_EE](https://github.com/OpenEIT/EIT_EE). From **OpenEIT**.\n  - [aorbe/eit](https://github.com/aorbe/eit). *Note: last update 2020.*\n  - [EIT-kit_open-source](https://github.com/HCIELab/EIT-kit_open-source).\n\n## EIT Imaging Algorithms\n\n  - [pydbar](https://github.com/NablaIP/pydbar). A dbar based algorithm for Electrical Impedance Tomography.\n  - [DeepDbar](https://github.com/asHauptmann/DeepDbar). This repository will collect codes accompanying the publication: Hamilton \u0026 Hauptmann (2018). Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks. IEEE Transactions on Medical Imaging. *Note: last update 2019.*\n\n## Modeling and Meshes\n\nThere are variaty of meshing utilities, you may refer to the [community](#community) section for more details. This section, adds only the meshes related to EIT imaging, that has or will be using in this community.\n\n  - [eitmesh](https://github.com/liubenyuan/eitmesh). Models and Meshes for pyEIT. From **pyeit**.\n  - [openSAHE](https://github.com/fsmMLK/openSAHE). Open Source Statistical Anatomical Atlas of the Human head for Electrophysiology Applications. *Note: a great library for head EIT simulation! Tracking and reproduce it.*\n  - [nyhead](https://www.parralab.org/nyhead/). The New York Head. *Note: This is not hosted on github, though it might be important to brain EIT researches.*\n  - [Mesher](https://github.com/EIT-team/Mesher). EIT-MESHER is C++ software, based on the CGAL library, which generates high quality Finite Element Model tetrahedral meshes from binary masks of 3D volume segmentations. From **EIT-team**.\n  - [tetrahedralizer](https://github.com/ABI-EIT/tetrahedralizer). Tetrahedralizer is an app and python library for automating the process of converting surface meshes to volumetric meshes.\n\nGeneralized Mesh libraries,\n  - [pygalmesh](https://github.com/meshpro/pygalmesh). pygalmesh is a Python frontend to CGAL's 2D and 3D mesh generation capabilities. From **meshpro**.\n  - [pygmsh](https://github.com/meshpro/pygmsh). pygmsh combines the power of Gmsh with the versatility of Python. From **meshpro**.\n  - [polyfem](https://github.com/polyfem/polyfem). A polyvalent C++ FEM library.\n  - [polyscope](https://github.com/nmwsharp/polyscope). Polyscope is a C++/Python viewer and user interface for 3D data such as meshes and point clouds.\n\nForward (FEM) simulation,\n  - [scikit-fem](https://github.com/kinnala/scikit-fem). scikit-fem is a pure Python 3.7+ library for performing finite element assembly. Its main purpose is the transformation of bilinear forms into sparse matrices and linear forms into vectors.\n  - [ngsolve](https://github.com/NGSolve/ngsolve). see ngsolve.org.\n\n## Visualization\n\n  - [Datoviz](https://github.com/datoviz/datoviz). GPU interactive scientific data visualization with Vulkan\n  - [vedo](https://github.com/marcomusy/vedo). A lightweight and powerful python module for scientific analysis and visualization of 3d objects.\n\n## Fantastic Applications\n\nEIT/MIT applications, and datasets.\n\n  - [pyeit-apps](https://github.com/liubenyuan/pyeit-apps). pyeit-apps hosts the reproducible codes and data (small sized, for illustration purpose only). From **pyeit**.\n  - [EIT-MPhys-Project](https://github.com/ivo53/EIT-MPhys-Project). This project presents a novel Electrode Selection Algorithm (ESA) for use in Electrical Impedance Tomography (EIT) on 2-dimensional samples.\n  - [Stroke_EIT_Dataset](https://github.com/EIT-team/Stroke_EIT_Dataset). This Multifrequency Electrical Impedance Tomography (EIT) data was collected as part of clinical trial in collaboration with the Hyper Acute Stroke unit (HASU) at University College London Hospital (UCLH). From **EIT-team**.\n  - [OpenEIT](https://github.com/OpenEIT/OpenEIT). Python based dashboard for real-time Electrical Impedance Tomography including image reconstruction using Back Projection, Graz Consensus and Gauss Newton methods.\n  - [ML-EIT-Graphene](https://github.com/AdamCoxson/ML-EIT-Graphene).\n  - [EIT-kit](https://dl.acm.org/doi/fullHtml/10.1145/3472749.3474758). An Electrical Impedance Tomography Toolkit for Health and Motion Sensing.\n\n## Community\n\n  - [awesome-geometry-processing](https://github.com/zishun/awesome-geometry-processing): Libraries for Geometry Processing\n  - [awesome-medical-imaging](https://github.com/fepegar/awesome-medical-imaging): Awesome medical imaging\n  - [awesome-scientific-computing](https://github.com/nschloe/awesome-scientific-computing): Awesome Scientific Computing, Useful resources for scientific computing and numerical analysis.\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/eitcom%2Fawesome-eit/projects"}