{"id":17336502,"url":"https://github.com/dr-noob/gpufetch","last_synced_at":"2025-04-13T15:13:50.668Z","repository":{"id":38009912,"uuid":"394679051","full_name":"Dr-Noob/gpufetch","owner":"Dr-Noob","description":"Simple yet fancy GPU architecture fetching tool","archived":false,"fork":false,"pushed_at":"2023-10-20T06:59:14.000Z","size":2109,"stargazers_count":148,"open_issues_count":28,"forks_count":15,"subscribers_count":8,"default_branch":"master","last_synced_at":"2025-04-13T15:13:48.396Z","etag":null,"topics":["cuda","gpu","igpu","intel","nvidia"],"latest_commit_sha":null,"homepage":"","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Dr-Noob.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","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":"2021-08-10T14:12:10.000Z","updated_at":"2025-04-13T14:39:39.000Z","dependencies_parsed_at":"2024-01-13T23:10:29.013Z","dependency_job_id":"8d481c5e-2490-4e86-acb5-4a89df42e1d8","html_url":"https://github.com/Dr-Noob/gpufetch","commit_stats":null,"previous_names":[],"tags_count":6,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Dr-Noob%2Fgpufetch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Dr-Noob%2Fgpufetch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Dr-Noob%2Fgpufetch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Dr-Noob%2Fgpufetch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Dr-Noob","download_url":"https://codeload.github.com/Dr-Noob/gpufetch/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248732488,"owners_count":21152852,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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"}},"keywords":["cuda","gpu","igpu","intel","nvidia"],"created_at":"2024-10-15T15:30:48.423Z","updated_at":"2025-04-13T15:13:50.642Z","avatar_url":"https://github.com/Dr-Noob.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\u003cimg width=50% src=\"./pictures/gpufetch.png\"\u003e\u003c/p\u003e\n\n\u003ch4 align=\"center\"\u003eSimple yet fancy GPU architecture fetching tool\u003c/h4\u003e\n\n\u003cp align=\"center\"\u003e \u003c/p\u003e\n\n\u003cdiv align=\"center\"\u003e\n  \u003cimg height=\"22px\" src=\"https://img.shields.io/github/v/tag/Dr-Noob/gpufetch?label=gpufetch\u0026style=flat-square\"\u003e\n  \u003ca href=\"https://github.com/Dr-Noob/gpufetch/stargazers\"\u003e\n    \u003cimg height=\"22px\" src=\"https://img.shields.io/github/stars/Dr-Noob/gpufetch?color=4CC61F\u0026style=flat-square\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://github.com/Dr-Noob/gpufetch/issues\"\u003e\n    \u003cimg height=\"22px\" src=\"https://img.shields.io/github/issues/Dr-Noob/gpufetch?style=flat-square\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://github.com/Dr-Noob/gpufetch/blob/master/LICENSE\"\u003e\n    \u003cimg height=\"22px\" src=\"https://img.shields.io/github/license/Dr-Noob/gpufetch?color=orange\u0026style=flat-square\"\u003e\n  \u003c/a\u003e\n\u003c/div\u003e\n\n\u003cp align=\"center\"\u003e \u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\ngpufetch is a command-line tool written in C++ that displays the GPU information in a clean and beautiful way\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n\u003cimg width=80% src=\"./pictures/examples.gif\"\u003e\n\u003c/p\u003e\n\n# Table of contents\n\u003c!-- UPDATE with: doctoc --notitle README.md --\u003e\n\u003c!-- START doctoc generated TOC please keep comment here to allow auto update --\u003e\n\u003c!-- DON'T EDIT THIS SECTION, INSTEAD RE-RUN doctoc TO UPDATE --\u003e\n\n\n- [1. Support](#1-support)\n- [2. Backends](#2-backends)\n  - [2.1 CUDA backend is not enabled. Why?](#21-cuda-backend-is-not-enabled-why)\n  - [2.2 The backend is enabled, but gpufetch is unable to detect my GPU](#22-the-backend-is-enabled-but-gpufetch-is-unable-to-detect-my-gpu)\n- [3. Installation (building from source)](#3-installation-building-from-source)\n- [4. Colors](#4-colors)\n  - [4.1 Specifying a name](#41-specifying-a-name)\n  - [4.2 Specifying the colors in RGB format](#42-specifying-the-colors-in-rgb-format)\n- [5. Bugs or improvements](#5-bugs-or-improvements)\n\n\u003c!-- END doctoc generated TOC please keep comment here to allow auto update --\u003e\n\n## 1. Support\ngpufetch supports the following GPUs:\n\n- **NVIDIA** GPUs (Compute Capability \u003e= 2.0)\n- **Intel** iGPUs (Generation \u003e= Gen6)\n\nOnly compilation under **Linux** is supported.\n\n## 2. Backends\ngpufetch is made up of two backends:\n\n- CUDA backend\n- Intel backend\n\nBackends are enabled and disabled at **compile time**. When compiling gpufetch, check the CMake output to see which backends are enabled.\n\n**gpufetch will only detect your GPU if the appropiate backend was enabled during compilation (e.g., will not detect your NVIDIA GPU if CUDA backend is disabled!)**\n\nBy default, CMake will try to enable all backends. However, backends can be manually disabled. See the `build.sh` script for instructions.\n\n### 2.1 CUDA backend is not enabled. Why?\nCUDA is mandatory to build gpufetch with CUDA backend enabled. However, when building gpufetch, cmake may be unable to find the CUDA installation. If CUDA is installed but CMake does not find it, you need to pass the CUDA path to cmake. You can do this easily by editing directly the `build.sh` script. For example:\n\n```\ncmake -DCMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc -DCMAKE_CUDA_COMPILER_TOOLKIT_ROOT=/usr/local/cuda/ ..\n```\n\n### 2.2 The backend is enabled, but gpufetch is unable to detect my GPU\nFirst, make sure that your GPU is enabled. You can print enabled GPUs with `lspci`:\n\n```\n[drnoob@noob ~]$ lspci -nn | grep VGA\n```\n\nIf there is a NVIDIA GPU or Intel iGPU in the system and the appropiate backend is enabled but gpufetch does not detect the GPU, please create a new issue with the provided error message (in the gpufetch output) on the [issues page](https://github.com/Dr-Noob/gpufetch/issues).\n\n## 3. Installation (building from source)\nYou will need (mandatory):\n\n- C++ compiler (e.g, `g++`)\n- `zlib`\n- `cmake`\n- `make`\n\nand optionally:\n\n- CUDA (needed for CUDA backend)\n- pciutils (a local copy will be downloaded if pciutils is not installed)\n\nTo build gpufetch, just clone the repo and run `./build.sh`:\n\n```\ngit clone https://github.com/Dr-Noob/gpufetch\ncd gpufetch\n./build.sh\n./gpufetch\n```\n\n## 4. Colors\nBy default, `gpufetch` will print the GPU logo with the system color scheme. However, you can set a custom color scheme in two different ways:\n\n### 4.1 Specifying a name\n\n By specifying a name, gpufetch will use the specific colors of each manufacture. Valid values are:\n\n- intel\n- nvidia\n\n```\n./gpufetch --color intel (default color for Intel)\n```\n\n### 4.2 Specifying the colors in RGB format\n\n5 colors must be given in RGB with the format: ``[R,G,B:R,G,B:R,G,B:R,G,B:R,G,B]``. These colors correspond to the GPU logo color (first 3 colors) and for the text colors (following 2).\n\n```\n./gpufetch --color 239,90,45:210,200,200:0,0,0:100,200,45:0,200,200\n```\n\n## 5. Bugs or improvements\nSee [gpufetch contributing guidelines](https://github.com/Dr-Noob/gpufetch/blob/master/CONTRIBUTING.md)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdr-noob%2Fgpufetch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdr-noob%2Fgpufetch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdr-noob%2Fgpufetch/lists"}