Fast package resolver written in Rust (CDCL based SAT solving)
Rust
225
316 commits
updated Sep 21, 2026
Resolvo implements a fast package resolution algorithm based on CDCL SAT solving.
resolvorip: An async package resolver and installer for Python PyPI packagesrattler: Conda package resolver and installer (non-async)resolvo-rpm: Experimental RPM resolver for Fedora / RedHat / OpenSUSE ... RPM packagesIf resolvo is unable to find a solution it outputs a human-readable error message:
The following packages are incompatible
├─ bluesky-widgets >=0, <100 can be installed with any of the following options:
│ └─ bluesky-widgets 42 would require
│ └─ suitcase-utils >=0, <54, which can be installed with any of the following options:
│ └─ suitcase-utils 53
└─ suitcase-utils >=54, <100 cannot be installed because there are no viable options:
└─ suitcase-utils 54, which conflicts with the versions reported above.
Resolvo provides a generic interface which allows integrating the solver with a variety of package managers. For instance resolvo is used in rattler and pixi to solve packages from the conda ecosystem.
Originally resolvo started out as a port/fork of libsolv but it has since then diverged substantially. However, the same CDCL algorithm based on MiniSats An Extensible SAT-solver is still used underneath. Major differences compared to libsolv are:
Resolvo ships C++ bindings (see cpp/). A runnable example that solves sudoku puzzles with the solver lives in cpp/examples. With Pixi you can build and run it from the repository root:
pixi run cpp-example-sudoku
Pass your own puzzle as an 81-character string (. or 0 for empty cells):
pixi run cpp-example-sudoku "53..7....6..195....98....6.8...6...34..8.3..17...2...6.6....28....419..5....8..79"
See the example README for more details.
We would love to have you contribute! See the CONTRIBUTION.md for more info. For questions, requests or a casual chat, we are very active on our discord server. You can join our discord server via this link.
Rust
75.2%
Jupyter Notebook
17.1%
C++
6.3%
CMake
1.4%
Fast package resolver written in Rust (CDCL based SAT solving)
Rust
225
316 commits
updated Sep 21, 2026
Resolvo implements a fast package resolution algorithm based on CDCL SAT solving.
resolvorip: An async package resolver and installer for Python PyPI packagesrattler: Conda package resolver and installer (non-async)resolvo-rpm: Experimental RPM resolver for Fedora / RedHat / OpenSUSE ... RPM packagesIf resolvo is unable to find a solution it outputs a human-readable error message:
The following packages are incompatible
├─ bluesky-widgets >=0, <100 can be installed with any of the following options:
│ └─ bluesky-widgets 42 would require
│ └─ suitcase-utils >=0, <54, which can be installed with any of the following options:
│ └─ suitcase-utils 53
└─ suitcase-utils >=54, <100 cannot be installed because there are no viable options:
└─ suitcase-utils 54, which conflicts with the versions reported above.
Resolvo provides a generic interface which allows integrating the solver with a variety of package managers. For instance resolvo is used in rattler and pixi to solve packages from the conda ecosystem.
Originally resolvo started out as a port/fork of libsolv but it has since then diverged substantially. However, the same CDCL algorithm based on MiniSats An Extensible SAT-solver is still used underneath. Major differences compared to libsolv are:
Resolvo ships C++ bindings (see cpp/). A runnable example that solves sudoku puzzles with the solver lives in cpp/examples. With Pixi you can build and run it from the repository root:
pixi run cpp-example-sudoku
Pass your own puzzle as an 81-character string (. or 0 for empty cells):
pixi run cpp-example-sudoku "53..7....6..195....98....6.8...6...34..8.3..17...2...6.6....28....419..5....8..79"
See the example README for more details.
We would love to have you contribute! See the CONTRIBUTION.md for more info. For questions, requests or a casual chat, we are very active on our discord server. You can join our discord server via this link.
Rust
75.2%
Jupyter Notebook
17.1%
C++
6.3%
CMake
1.4%