scikit-bio
importedsoftware/scikit-bio
scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- active
- Maturity
- deployed
- Organization
- scikit-bio
- Country
- unknown
- Homepage
- scikit.bio
- Repository
- github.com/scikit-bio/scikit-bio
- Documentation
- unknown
- Tags
- bioinformatics · computational-biology
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- alphafoldfetchbioinformatics · computational-biology
CLI for downloading AlphaFold structures using UniProt IDs or FASTA files
- arpeggiobioinformatics · computational-biology
Calculation of interatomic interactions in molecular structures
- bac-genomics-scriptsbioinformatics · computational-biology
Collection of scripts for bacterial genomics
- BASALTbioinformatics · computational-biology
Nature Communications | BASALT (Binning Across a Series of Assemblies Toolkit) for binning and refinement of short- and long-read sequencing data
- bioinformatics-toolkitbioinformatics · computational-biology
Command-line tools for genomics and proteomics analysis
- BioReasonbioinformatics · computational-biology
BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model | NeurIPS '25
- api.github.com/repos/scikit-bio/scikit-bioretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-08-05, 1222 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/57.json→ .entries["scikit-bio"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.