Anaconda Notebooks vs pypiserver

Anaconda Notebooks puts JupyterLab in a cloud environment for writing, editing, and running Python code through an Anaconda Cloud account. Users can start data science and AI projects in a browser with packages and computing resources supplied by the service, without installing Python locally. Two preconfigured environments are available: one with the latest Anaconda Distribution packages and another with packages selected for AI workflows. Notebooks can be shared by URL so others can open a copy, work with it through an Anaconda account, or download it. Outputs can be deployed as web applications using Panel. Anaconda Assistant for Python can analyze tables and suggest ways to work with data, while Data Connectors let users save CSV files on Anaconda Cloud for Excel or notebook access. The Free plan costs nothing and includes 5 GB cloud storage. Starter costs $15 a month, billed monthly, with 10 GB storage per user. Organizations may block notebook sharing, resulting in a 403 error when a user tries to share.

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.