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What is this?
fluid_lean is a research codebase written in Lean, the programming language and interactive theorem prover used for formalizing mathematics. Judging by its name, it applies Lean to fluid dynamics, the branch of physics that studies how fluids move.
fluid_lean is a research codebase written in Lean, the programming language and interactive theorem prover used for formalizing mathematics. Judging by its name, it applies Lean to fluid dynamics, the branch of physics that studies how fluids move.Is it a library, an app, or something else?It is a Lean source repository rather than a finished application: a codebase you read, extend, and machine-check with the Lean toolchain, not a program you install and run as an end product.
It is a Lean source repository rather than a finished application: a codebase you read, extend, and machine-check with the Lean toolchain, not a program you install and run as an end product.What do I need on my machine to work with it?A Lean toolchain, since the whole project is written in Lean. The repository lists no other dependencies and has no Docker, CI, or build scripts set up.
A Lean toolchain, since the whole project is written in Lean. The repository lists no other dependencies and has no Docker, CI, or build scripts set up.Is it ready for everyday use?It looks like early-stage research code: the repository was created in September 2026, contains a single commit, and ships no documentation, releases, or license, so treat it as a snapshot of work in progress.
It looks like early-stage research code: the repository was created in September 2026, contains a single commit, and ships no documentation, releases, or license, so treat it as a snapshot of work in progress.Why formalize fluid dynamics in Lean?Lean's proof checker verifies every logical step mechanically, so mathematical results about fluid equations come with machine-checked certainty. That is the typical motivation for projects like this one, though the README does not spell out the exact goals.
Lean's proof checker verifies every logical step mechanically, so mathematical results about fluid equations come with machine-checked certainty. That is the typical motivation for projects like this one, though the README does not spell out the exact goals.How active or popular is the project?It was created in September 2026 and has just one commit, yet it has already drawn around 270 stars and 20 forks — unusually high interest for so young and minimal a repository.
It was created in September 2026 and has just one commit, yet it has already drawn around 270 stars and 20 forks — unusually high interest for so young and minimal a repository.What can I realistically do with it today?Clone it and read or build on the Lean sources. With no license, docs, or packaged releases, anything beyond reading and learning is currently on you.
Clone it and read or build on the Lean sources. With no license, docs, or packaged releases, anything beyond reading and learning is currently on you.What are similar projects?NavierStokesAndEuler, fermats-last-theorem, math, integer-mult-bounds, open-ontologies, PrimeGaps186, Book-Mathematical-Foundation-of-Reinforcement-Learning, sympy
NavierStokesAndEuler, fermats-last-theorem, math, integer-mult-bounds, open-ontologies, PrimeGaps186, Book-Mathematical-Foundation-of-Reinforcement-Learning, sympyWhich topics is it in?lean, theorem-proving, physics, math, mathematics, academic, programming, research, cross-platform, windows, macos, linux
lean, theorem-proving, physics, math, mathematics, academic, programming, research, cross-platform, windows, macos, linux