Bioconductor vs pypiserver
Bioconductor
bioconductor.orgpypiserver
github.comSide by side
| Figure | Bioconductor | pypiserver |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Package Registries | 9.1 (#1) | 8.3 (#11) |
| Docker | Official Docker images are provided for every supported Bioconductor release plus a development image. | Official Docker images are built for main pushes and development, prerelease, and final releases. |
| Integrations | SourceForge lists integrations with R and Docker. | The documentation shows integration with pip, easy_install, setuptools, twine, Docker, and reverse proxies including Nginx and Traefik. |
| Intended users | The project serves researchers and data scientists working with biological and genomic data. | The project describes itself as a self-hosted package index for users who want to serve their own Python packages. |
| Purpose | Bioconductor develops and shares open-source software for rigorous, reproducible analysis of biological data. | pypiserver is a minimal PyPI-compatible server for uploading and downloading Python packages with pip or easy_install. |
| Support | SourceForge lists online support, documentation and videos as available support resources. | The maintainers direct users to GitHub Discussions and a Zulip community chat, and direct bug reports to GitHub’s bug tracker. |
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.
pypiserver
pypiserver is a minimal, self-hosted package index for uploading and downloading Python packages with tools such as pip and easy_install. It serves packages from regular directories, including wheels, bdists, eggs and PGP signatures, and scans those directories recursively. Packages can be uploaded with pip, setuptools, twine or pypi-uploader, or copied to the server with scp. Upload access can be protected with an Apache htpasswd file; API users can configure custom authentication callables. The maintainers advise password protection for uploads, and the documentation recommends a reverse proxy to provide HTTPS. pypiserver can run as a WSGI application, with documented integrations for Docker, nginx, Apache, gunicorn and Paste. It provides a health endpoint that returns HTTP 200 when the service is running, with an option to configure the endpoint. The current version supports Python 3.10+ and PyPy3. It is free at free and is listed for Linux, macOS, Windows, API and self-hosted use. Its API covers the operations needed by common package tools rather than the full PyPI API; documentation uploads are accepted but not saved to disk.