
Molecular biology
Explore the Julia life sciences ecosystem
From DNA and proteins to populations and medical images, discover open-source Julia tools built for ambitious life-science research.
The ecosystem
Open communities building the foundations for modern biological, health, and ecological research.

Molecular biology

Health & medicine

Ecology & evolution
What can you do? · Hand-curated packages
Explore a focused selection of Julia packages, hand-curated for relevance, practical value, and community adoption across life-science workflows.
GPU-accelerated, Pulseq-compatible MRI acquisition simulation for research and education.
Efficient data types and operations for DNA, RNA, and amino-acid sequences.
Read, write, analyze, and visualize macromolecular structures, especially proteins.
Biology-focused plotting and interface tools built on the Makie visualization ecosystem.
A modern framework for representing and working with genomic graph data in Julia.
Fast parsing and processing for FASTA and FASTQ biological sequence files.
Pairwise sequence alignment tools and common biological alignment operations.
Data types and utilities for spatial ecological analysis and community datasets.
A computational framework for simulating ecosystems, biodiversity, and environmental change.
Efficient one- and two-dimensional arterial blood-flow simulation using Trixi.jl.
Measure and partition alpha, beta, and gamma diversity across ecological communities.
Utilities for programmatic access to chemical and compound data from PubChem.
A high-performance framework for multiscale cardiac multiphysics simulation.
Download and use common global raster datasets in ecological Julia workflows.
A toolbox for analysis and visualization of neurophysiological signals and recordings.
Call and share data with Python from Julia, with automatic conversion and CondaPkg integration.
Call R from Julia and move values between both languages in the same workflow.
Embed Julia in R and call Julia functions through a seamless R package interface.
Community stories
The entries below are editable examples. Replace each quote, name, role, and organization with a real community story.
Now that I run my analysis in Julia, the same pipeline is 20× faster — without splitting it across three languages.
Our simulation went from an overnight job to something we can explore interactively during a meeting.
We kept the readable code our students need and gained the performance our production workflow demands.