Bioconductor vs GNU ELPA
Bioconductor
bioconductor.orgGNU ELPA
elpa.gnu.orgSide by side
| Figure | Bioconductor | GNU ELPA |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Package Registries | 9.1 (#1) | 8.6 (#8) |
| Limit: outages | The public status history records incidents including a package-stats failure lasting 26 hours 58 minutes and an archive outage lasting 24 hours 3 minutes. | Reddit users reported GNU ELPA and related GNU sites being unreachable for hours during a June 2024 incident, with packet loss and 443 errors. |
| Purpose | Bioconductor develops and shares open-source software for rigorous, reproducible analysis of biological data. | GNU ELPA is the default package repository for GNU Emacs. |
| Support | SourceForge lists online support, documentation and videos as available support resources. | The site directs users to report bugs with `M-x report-emacs-bug` and suggests the help-gnu-emacs mailing list for help. |
| What it does | Bioconductor develops open-source software for precise, repeatable analysis of biological data. | GNU ELPA is the default package repository for GNU Emacs and distributes Emacs Lisp extensions separately from the core editor. |
Plans
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.