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Bioconductor vs Private Packagist

Bioconductor

bioconductor.org

Private Packagist

packagist.com

Side by side

FigureBioconductorPrivate Packagist
Price fromFree€15.58/mo
Free planYes—
Free trial—Yes
Open sourceYes—
WebYesYes
WindowsYes—
macOSYes—
LinuxYesYes
API—Yes
Self-hostedYesYes
Plans published23
Spec score · Package Registries9.1 (#1)7.9 (#15)
IntegrationsSourceForge lists integrations with R and Docker.Organization synchronization is available for GitHub, Bitbucket, and GitLab, including synchronization of teams, members, permissions, and repositories.
Intended usersThe project serves researchers and data scientists working with biological and genomic data.The company describes Private Packagist as providing businesses with functionality tailored to their requirements and offers solutions for agencies and vendors.
PurposeBioconductor develops and shares open-source software for rigorous, reproducible analysis of biological data.Private Packagist makes private PHP repositories available through Composer and provides a controlled repository for package installs.
SupportSourceForge lists online support, documentation and videos as available support resources.Cloud plans include email and chat support, and the pricing FAQ says messages sent by email or website chat receive a guaranteed next-business-day response.

Plans

Bioconductor

  • BioconductorFree
  • FreeFree

Bioconductor pricing →

Private Packagist

  • Private Packagist Cloud€187 a year
  • Private Packagist Self-Hosted — Kubernetes, Helm Chart€3,900 a year
  • Private Packagist Self-Hosted — Kubernetes, Kots€5,900 a year

Private Packagist 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

Private Packagist

Private Packagist has no write-up on Specifiction yet; its figures are above.

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