Marketplace

Ranked by most used. Agents connect once to Lemma and run any method here.

ASE atomistic simulation environment ASE developers · 0 runs Atomistic Simulation Environment for setting up, running, and analysing molecular / materials simulations.
$0.05
AnnData annotated matrices scverse · 0 runs Annotated data matrices (AnnData) as the standard container for single-cell and omics analyses.
$0.03
Ax / BoTorch Bayesian optimisation Meta Adaptive Experimentation · 0 runs Adaptive experimentation and Bayesian optimisation with Ax and BoTorch for scientific parameter search.
$0.10
Biopython sequence toolkit Biopython contributors · 0 runs Biopython for sequence I/O, alignments, BLAST wrappers, and common bioinformatics utilities.
$0.04
Biotite structural bioinformatics Biotite authors · 0 runs Comprehensive Python library for sequence and structure bioinformatics (Biotite).
$0.05
Dedalus spectral PDE framework Keaton Burns, Dedalus Project · 0 runs Spectral methods for PDEs with Dedalus — ideal for fluids, waves, and high-accuracy periodic problems.
$0.08
DeepONet operator learning Lu Lu, DeepONet authors · 0 runs Learn nonlinear operators between function spaces with DeepONet for parametric PDE surrogates.
$0.12
DeepXDE physics-informed neural nets Lu Lu · 0 runs Solve PDEs with physics-informed neural networks (PINNs) using DeepXDE. Good when mesh generation is hard or you need a surrogate.
$0.10
Diffrax JAX differential equations Patrick Kidger · 0 runs Numerical differential equation solvers in JAX with Diffrax — ODEs, SDEs, and neural DEs.
$0.08
FEniCSx / DOLFINx FEM FEniCS Project · 0 runs Next-generation FEniCS finite-element platform (DOLFINx) for PDEs on complex meshes with modern Python bindings.
$0.10
FinDiff finite-difference operators findiff authors · 0 runs Build finite-difference operators and solve ODEs/PDEs with findiff. Lightweight numerical differentiation toolkit.
$0.02
Firedrake automated FEM Firedrake Project · 0 runs Automated solution of variational PDEs with Firedrake — compose forms in UFL, generate high-performance code.
$0.10
Fourier Neural Operator (FNO) Zongyi Li, neuraloperator authors · 0 runs Learn mesh-invariant PDE solution operators with Fourier Neural Operators. Use for surrogate modelling of parametric PDE families.
$0.15
GPyTorch Gaussian processes GPyTorch authors · 0 runs Scalable Gaussian processes in PyTorch with GPyTorch for surrogate modelling and Bayesian optimisation.
$0.09
Gmsh mesh generation Christophe Geuzaine, Jean-François Remacle · 0 runs 3D finite-element mesh generation with Gmsh — CAD, meshing, and post-processing for PDE pipelines.
$0.05
JAX-FEM differentiable finite elements JAX-FEM authors · 0 runs GPU-accelerated differentiable FEM in JAX for inverse design and PDE-constrained optimisation.
$0.12
NGSolve high-order FEM NGSolve authors · 0 runs High-order finite-element methods with Netgen/NGSolve for elliptic, hyperbolic, and multiphysics PDEs.
$0.09
NLopt nonlinear optimisation Steven G. Johnson, NLopt · 0 runs Nonlinear optimisation algorithms via NLopt for constrained and unconstrained scientific design problems.
$0.04
NVIDIA PhysicsNeMo (Modulus) SciML NVIDIA PhysicsNeMo · 0 runs Physics-informed and data-driven PDE models with NVIDIA PhysicsNeMo for industrial-scale SciML workflows.
$0.18
NumPyro probabilistic programming NumPyro authors · 0 runs JAX-based probabilistic programming with NumPyro for scalable Bayesian inference.
$0.06
OpenMM molecular dynamics OpenMM authors · 0 runs High-performance molecular dynamics with OpenMM for biomolecular and soft-matter simulation.
$0.12
Optax JAX optimisers DeepMind Optax · 0 runs Gradient transformation and optimiser library for JAX — building blocks for SciML training loops.
$0.03
PETSc / petsc4py scalable solvers PETSc team · 0 runs Scalable linear and nonlinear solvers via PETSc and petsc4py for large scientific systems.
$0.08
Psi4 quantum chemistry Psi4 developers · 0 runs Ab initio quantum chemistry with Psi4 — HF, DFT, post-HF methods for small-to-medium molecules.
$0.14
PyMC Bayesian inference PyMC developers · 0 runs Probabilistic programming with PyMC for Bayesian models, MCMC, and uncertainty quantification.
$0.06
RDKit cheminformatics RDKit contributors · 0 runs Open-source cheminformatics with RDKit — molecules, fingerprints, descriptors, and reaction tools.
$0.05
SUNDIALS ODE/DAE solvers LLNL SUNDIALS · 0 runs CVODE, IDA, and related SUNDIALS solvers for stiff ODEs and differential-algebraic equations.
$0.07
Scanpy single-cell analysis Alex Wolf, Fabian Theis, Scanpy authors · 0 runs Scalable single-cell RNA-seq analysis with Scanpy — QC, embedding, clustering, and marker detection.
$0.08
SfePy continuum mechanics FEM SfePy authors · 0 runs Simple finite elements in Python for continuum mechanics, multiphysics, and structural problems.
$0.06
deal.II finite element library deal.II authors · 0 runs C++ finite-element library deal.II for adaptive meshes, multiphysics, and large-scale PDE solvers.
$0.11
meshio mesh format I/O Nico Schlömer · 0 runs Read and write dozens of mesh formats with meshio for portable scientific computing pipelines.
$0.02
py-pde continuum evolution solvers David Zwicker · 0 runs Spectral / finite-difference evolution of continuum PDEs (diffusion, Cahn–Hilliard, reaction–diffusion).
$0.05
pymatgen materials analysis Materials Project · 0 runs Materials analysis toolkit (pymatgen) for structures, phase diagrams, and materials project workflows.
$0.07
scikit-fem Poisson / Laplace solvers Tom Gustafsson, G. D. McBain · 0 runs Finite-element Poisson and Laplace problems on unstructured meshes via scikit-fem. Use for irregular domains and rapid FEM prototyping.
$0.05
scimba PINN / SciML toolkit scimba authors · 0 runs Scientific machine learning toolkit for PINNs and related PDE surrogates in research workflows.
$0.07
shenfun spectral Galerkin Mikael Mortensen · 0 runs Spectral Galerkin methods in Python with shenfun — tensor-product bases for PDEs on simple domains.
$0.07
spectralDNS fluid solvers spectralDNS authors · 0 runs High-performance spectral DNS solvers for Navier–Stokes and related fluid equations.
$0.12
torchdiffeq Neural ODEs Ricky T. Q. Chen · 0 runs Continuous-depth neural ODEs and adjoint sensitivity with torchdiffeq — dynamical systems as networks.
$0.08
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