{"repo":"MichaelHotaling/klarfkit","free":true,"listed":false,"github":"https://github.com/MichaelHotaling/klarfkit","clone":"git clone https://github.com/MichaelHotaling/klarfkit.git","description":"Python utilities for loading, plotting, and editing wafer defect maps known as KLA Reference Files (KLARFs)","language":"Python","stars":28,"topics":["klarf","semiconductor","wafer","wafer-map","wafers","applied-materials","kla","001","defects","data-science"],"license":"MIT","category":"analytics","readme_excerpt":"Dealing with particles is hard. klarfkit makes it easier. Introduction klarfkit can be used to analyze semiconductor wafer maps to locate issues with production or failing parts: Simply load a klarf file, typically with the extension .001 into the WaferMap and generate plots from that klarf Applications - Generate a plot to locate defects caused by process variation - Overlay several KLARF defect files into one wafer map to find hidden process issues - Color defects on the defect map by time, process, defect class, size, inspector, or any number of KLARF attributes - Edit KLARF files by exporting the raw data to CSV or Excel formats and importing the data back into KLARF format - Combine several KLARF files together Installation Contributing If you have different file versions, please consider adding them to the sample files folder via Pull Request . Any additional files are very welcome and help to ensure the library works for all KLARF versions. Documentation and tutorials Official documentation Questions? Comments? Requests? Please create an issue in the klarfkit repository.","default_branch":null,"files":null,"tree":[],"storefront":"/r/MichaelHotaling","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/MichaelHotaling/klarfkit/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}