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Bioconductor vs PyPI

Both stand on package registries. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Bioconductor

Free plan Open source LinuxMacSelf-hosted+2

Choose Bioconductor if you work with biological or genomic data in R and need a broad set of analysis packages with reproducibility support. Check release and R compatibility before choosing a version; users needing private packages or packages over 10 MB should look elsewhere.

Visit Bioconductor

PyPI

Free plan Open source APILinuxMac+3

PyPI provides package discovery and distribution for Python, with APIs and organization tools alongside individual accounts. Check its file limits and lack of private packages against your needs.

Visit PyPI

The facts

BioconductorPyPI
Free planYesYes
Open sourceYesYes
Runs onLinux, Mac, Self-hosted, Web, WindowsAPI, Linux, Mac, Self-hosted, Web, Windows
Lowest paid planFree or on requestSee the plans
Plans published23
MakerNot publishedNot published
Websitebioconductor.orgpypi.org
On package registries#1 of 28#3 of 28

Bioconductor: what it does well

  • Free open-source software with no paid plans stated
  • R packages cover several types of genetic and genomic analysis
  • Tools connect genomic data with biological metadata
  • Package vignettes support reproducible research
  • Docker containers provide preinstalled R and Bioconductor versions

What to know first

  • Each release is designed for a specific R version
  • Private packages are not supported
  • Package size limit is 10 MB

PyPI: what it does well

  • Web access and APIs, including RSS feeds.
  • Releases can include source archives and binary wheels.
  • Organizations provide teams and role-based permissions.
  • Free Community organization requires no payment details.

What to know first

  • Private packages are not supported.
  • Individual files are limited to 100.0 MB.
  • Projects default to a 10.0 GB total size limit.
  • Publishing requires a verified email address.

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