majahn's Stars
MooersLab/EasyPyMOL
Script to facilitate the making of horizontal scripts
gecrooks/fieldguide
Field Guide to Continuous Probability Distributions by Gavin E. Crooks
nkmk/python-snippets
byllyfish/shellous
asyncio library that provides an API for running subprocesses
MooersLab/jupyterlabpymolpysnips
Python snippets for PyMOL to be run in Jupyterlab via the jupyterlab-snippets-multimenus extension.
FelixErnst/Structstrings
:package: Structstrings: implementation of Biostrings to work with dot bracket annotations
fjossinet/RNArtist
With RNArtist, you construct a collection of RNA structures that can be gathered into RNA families, projects,...
ibraheemdev/modern-unix
A collection of modern/faster/saner alternatives to common unix commands.
Tyrrrz/CliWrap
Library for running command-line processes
ViennaRNA/forna
Create force-directed graphs of RNA secondary structures.
danielecook/Awesome-Bioinformatics
A curated list of awesome Bioinformatics libraries and software.
gecrooks/modern-python-template
Minimal Viable Product for an open source, github hosted, python package
epirecipes/sir-julia
Various implementations of the classical SIR model in Julia
Delgan/loguru
Python logging made (stupidly) simple
talkpython/async-techniques-python-course
Async Techniques and Examples in Python Course
talkpython/python-data-visualization
Python Data Visualization course code and examples
TejasQ/add-gitignore
An interactive CLI tool that adds a .gitignore to your projects.
Ikarto/R4RNA
R4RNA visualisation package. Designed for visualization of RNA-RNA interactions and Genomic information from HiC data.
febos/SQUARNA
RNA secondary structure prediction tool
marimo-team/marimo
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
AllenDowney/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
weijie-chen/Linear-Algebra-With-Python
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
jupyter-naas/awesome-notebooks
A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
LinearFold/LinearFold
The new source code of the LinearFold, linear-time prediction for RNA secondary structures
pytoolz/cytoolz
Cython implementation of Toolz: High performance functional utilities
neherlab/treetime
Maximum likelihood inference of time stamped phylogenies and ancestral reconstruction
neherlab/pan-genome-analysis
Processing pipeline for pan-genome visulization and exploration
Zsailer/pyasr
Ancestral Sequence Reconstruction in Python
CSchoel/nolds
Nonlinear measures for dynamical systems (based on one-dimensional time series)
kinnala/scikit-fem
Simple finite element assemblers