Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.
API method:
GET /api/packages?search=hello&page=1&limit=20
where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned
in response headers.
If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.
Ancestral recombination graph sampling method.
Interactive visualization method for ancestral recombination graphs.
Extracts population-based ancestry from simulated tree sequence datasets.
A Python library of population genetic simulation models
Quantitative trait simulation of tree sequence data
Manipulate tree sequences produced by SLiM.
Compression utilities for tree sequences.
Simulate genealogical trees and genomic sequence data using population genetic models
Infer node ages from a tree sequence topology.
Utilities for converting tree sequences to and from other formats
Infer tree sequences from genetic variation data.
Webapp to view and visualise the information structure in tskit ARGs
Utilities for comparing tree sequences
Utilities for converting tree sequences to and from other formats
The tree sequence toolkit.
Convert bioinformatics data to Zarr.
The demes Python package provides an API for defining, parsing, and sharing Demes demographic models. Applications can use demes to parse human-readable Demes YAML files into fully-resolved demographic models. In addition, demes provides convenient data structures to simplify manipulation of demographic models.
xyzservices is a lightweight library providing a repository of available XYZ services offering raster basemap tiles. The repository is provided via Python API and as a compressed JSON file.
Interactive plots and applications in the browser from Python.
Extremely lightweight compatibility layer between dataframe libraries.
The SciPy library is one of the core packages that make up the SciPy stack. It provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization.
Efficient coalescent simulation in continuous space.
Use git repo data for building a version number according PEP-440.