Eigen C++ library reshape extension
Built for C++ numerical computing developers using Eigen for linear algebra without matrix reshaping needs..
“Dec 4, 2019 · It would be great, if eigen had a .reshape(h,w) function which would return an Eigen::Map with a new view on the data. Could this be ...…”
The receipts — real demand
“Dec 4, 2019 · It would be great, if eigen had a .reshape(h,w) function which would return an Eigen::Map with a new view on the data. Could this be ...”
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Why this is a gap
Surfaced from a high-intensity complaint with clear willingness to pay and a specific, reachable audience.
The market
C++ developers using Eigen for numerical computing who need matrix reshaping without writing custom code. No search volume data; demand appears niche and steady rather than broad.
Competition & the opening
Eigen itself (the incumbent) leaves reshape functionality out by design. Alternatives like Armadillo or Boost exist but don't directly compete on this single feature gap.
What's hard to build
Must integrate tightly with Eigen's internal memory layout and Map semantics; requires deep C++ template metaprogramming knowledge and thorough testing across different data orderings (row-major vs column-major) to avoid silent correctness bugs.
Why now
Eigen is widely used for matrix math but lacks reshape semantics that other libraries provide, creating friction for array-manipulation workflows.
How you'd monetize
Open-source library (sponsorships/consulting)