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Stars gained: From May 13, 2026 to Nov 14, 2026, each from zeroStars gainedFrom May 13, 2026 to Nov 14, 2026, each from zero0100May 13Nov 14, 2026open-edge-platform/getiautodistill/autodistill
Stars: The star count at the end of each dayStarsThe star count at the end of each day2KMay 8Nov 14, 2026open-edge-platform/getiautodistill/autodistill

Facts

Fact open-edge-platform/geti

Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel® XPU (CUDA also supported).

autodistill/autodistill

Images to inference with no labeling (use foundation models to train supervised models).

Stars 1,3742,798
Net stars, last 30 days +19+13
Largest star day +13 on Aug 15, 2026+4 on May 13, 2026
Milestone reached in the record NoneNone
Forks 490228
Language PythonPython
License APACHE-2.0APACHE-2.0
Created Oct 26, 2018Jun 6, 2023
Last push Nov 14, 2026Sep 29, 2026
Archived NoNo
Health facts: Maintenance 2 of 4 checks (2 without data)2 of 4 checks (2 without data)
Health facts: Releases 1 of 3 checks (1 without data)1 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 13, 2026Nov 11, 2026

Topics that all of them have on the Repository Host: computer-vision, deep-learning, pytorch, image-classification, object-detection, machine-learning. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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