wafertools¶

Tools for reviewing semiconductor wafer test data: rendering wafer maps, computing yield and spatial statistics, and browsing STDF/ATDF/CSV/JSON/Parquet test results.

There are two projects, and which one you want depends on a single question: do you want to look at wafer data, or put wafer maps inside something you are building?

I want to look at wafer data → tsmap¶

tsmap is a finished, free, MIT-licensed application. Open STDF, ATDF, CSV, JSON or Parquet (and .gz/.zip) and get interactive yield maps, parametric heat maps, findings, a full chart suite, lot galleries and exportable reports — no code, no account, no upload. It runs on Linux, macOS and Windows, and also in your browser, where files are still parsed entirely on your own machine.

Most people arriving here want this one.

Open it in the browser · Download · Docs · GitHub

I'm building an application → wafermap¶

wafermap (@wafertools/wafermap on npm) is the rendering and analysis library tsmap itself is built on: interactive wafer maps, yield and spatial statistics, embeddable in your own app. Pure ES modules, no runtime dependencies, no server.

Reach for it when you need wafer maps inside your own application, a data source tsmap doesn't read, or behaviour it doesn't offer — and note you can start with tsmap and integrate later. Two calls render a working map; tsmap itself uses fourteen of the library's hundred-odd exports.

Docs · Quick Start · npm · GitHub

What changed recently¶

What's New is a curated, plain-language timeline of new capabilities across both projects.

Why these exist¶

Both are written by Paul Robins, after nearly four decades in semiconductor test — most of it building test data analysis tools: wafer map and chart viewers, and the platforms they were built on.

That work leaned on free software throughout — zlib, Tcl/Tk, SQLite, GCC — and it was a good deal. These projects are some of it going back the other way, prompted by finding out that engineers doing this job today still have no decent free option for wafer map analysis.

Both are MIT licensed: free to use, modify and redistribute, including in commercial and closed-source products.

Questions¶

GitHub Discussions is open to anyone using either project.