Xpandas
running Pandas-style computation directly in pure C++
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Hi HN,I’ve been exploring whether pandas can be used as a computation description, rather than a runtime.The idea is to write data logic in pandas / NumPy, then freeze that logic into a static compute graph and execute it in pure C++, without embedding Python.This is not about reimplementing pandas or speeding up Python. It’s about situations where pandas-style logic is useful, but Python itself becomes a liability (latency, embedding, deployment).The project is still small and experimental, but it already works for a restricted subset of pandas-like operations and runs deterministically in C++.Repo: https://github.com/CVPaul/xpandasI’d love feedback on whether this direction makes sense, and where people think it would break down.
HN · launched Mar 2, 2026 · 6 upvotes (top 71%) · 0 views
Niche: scripting and execution runtimes · 56 launches, 4 in the last 7 days · Explore this niche →
Category and tags
- Horizontal
- Data infrastructure
- Developer
- Not AI
- Hobby / open-source project
More like this: all 56 launches in scripting and execution runtimes →
Could you build this?
No Translating Pandas/NumPy execution into a statically compiled, standalone C++ compute graph without embedding Python requires deep compiler, AST parsing, and systems programming expertise.
What it would actually take: Building this requires designing an IR (Intermediate Representation) or compute graph generator that captures dynamic Python/Pandas operations via bytecode or AST analysis, followed by an optimizing C++ code generator or execution engine that links against optimized linear algebra kernels (like BLAS/LAPACK or custom tensor backends). This necessitates deep compiler theory, C++ template metaprogramming, and deep familiarity with NumPy/Pandas internal memory models.
Discussion
No comments on this launch.
Competitors
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Attention rank: #110 of 140 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 119 days after the earliest competitor.
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