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Bioconductor vs PyPI

Bioconductor

bioconductor.org

PyPI

pypi.org

Side by side

FigureBioconductorPyPI
Price fromFree$5/mo
Free planYesYes
Free trial——
Open sourceYesYes
WebYesYes
WindowsYesYes
macOSYesYes
LinuxYesYes
API—Yes
Self-hostedYesYes
Plans published24
Spec score · Package Registries9.1 (#1)8.8 (#6)
Founded2001LinkedIn lists the Python Software Foundation as founded in 2001.
InstallationThe recommended installer is BiocManager, which selects repositories matching the installed R and Bioconductor versions.The Python Packaging User Guide documents installing PyPI packages with Python and pip on Unix/macOS and Windows.
LicenceCore Bioconductor packages are typically licensed under Artistic-2.0, while individual packages may use other open-source licences.Warehouse, the software powering PyPI, is published under the Apache-2.0 licence.
PurposeBioconductor develops and shares open-source software for rigorous, reproducible analysis of biological data.PyPI is a repository of software for the Python programming language.
Rating on G20 out of 5 from 0 reviews; G2 reports zero ratings and insufficient review data for Bioconductor.4.4 out of 5 stars from 12 reviews.
Self-hostingThe Docker images can run RStudio Server, command-line R or a shell locally and support mounted host volumes.The Warehouse codebase that powers PyPI can be run locally with Docker for development and testing.
What it doesBioconductor develops open-source software for precise, repeatable analysis of biological data.PyPI is a repository where Python software is published, discovered, downloaded, and installed.

Plans

Bioconductor

  • BioconductorFree
  • FreeFree

Bioconductor pricing →

PyPI

  • Community organizationFree
  • Community OrganizationFree
  • Company organization$5 a month
  • Corporate Organization$5 a month

PyPI pricing →

In their own words

Bioconductor

Bioconductor develops and shares free, open-source software for rigorous and reproducible analysis of biological data. It serves researchers and data scientists working with biological and genomic datasets. The project uses R, with most components distributed as R packages. Those packages support analysis of DNA microarray, sequence, flow, SNP, and other genetic or genomic data. Tools can associate genomic data with biological metadata from sources such as GenBank, Entrez genes, and PubMed. Each package includes one or more task-oriented vignettes, and reproducible research is a stated project goal. Bioconductor maintains a stable release updated twice a year and a development version for new features and packages. Each release is designed for a specific R version; the current release page lists Bioconductor 3.23 with R 4.6.0. Docker containers with preinstalled R and Bioconductor versions support reproducible environments. The project documents container deployment with Amazon ECS, Google Kubernetes Engine, Microsoft Azure Container Instances, and Docker Desktop or Docker Engine. Help is available through its Support site and community chat. The project began in 2001 and is overseen by a core team.

Visit bioconductor.org

PyPI

PyPI is a repository for software written in Python, available through its website and APIs. It helps users find and install packages shared by the Python community, while package authors publish projects and releases. A release may include source archives and binary wheels for different hardware, operating systems, and formats. APIs include RSS feeds for new packages and releases. PyPI is maintained by the Python Software Foundation and the Python community. Accounts require two-factor authentication, and a verified email address is needed to register a project or upload a release file. Trusted Publishing uses OpenID Connect short-lived identity tokens, with PyPI API tokens valid for 15 minutes. Default limits are 100 MB per file and 10 GB per project. Organizations provide shared profiles, teams, permissions, trusted publishing, and history. Community organizations are free; Company organizations cost $5 a month.

Visit pypi.org