{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/3"},{"label":"WSGI","url":"https://skillfed.io/packages/category/internet-www-http-wsgi"}],"enrichment":{"capability":"pydap is a pure-Python OPeNDAP client and server that lets you access remote scientific datasets on-the-fly without downloading them in full, using lazy evaluation to fetch only the data you request.","skillfed_tags":["scientific-data","remote-access","opendap"],"use_cases":["Access large remote climate or oceanographic datasets from public OPeNDAP servers without downloading entire files locally.","Query specific variables and dimensions from remote scientific data sources, fetching only what you need on demand.","Set up a lightweight OPeNDAP server to publish local netCDF or other scientific data files over HTTP for remote access.","Integrate remote data access into xarray workflows, leveraging pydap as the backend protocol handler.","Build data pipelines that combine lazy-loaded remote arrays with local numpy and scipy operations."],"what_it_does":"pydap is a pure-Python implementation of the OPeNDAP (Data Access Protocol) standard, originally developed in the 2000s and maintained by the OPeNDAP community. It operates in two modes: as a client to fetch remote scientific data from OPeNDAP servers, and as a lightweight WSGI-based server to publish local datasets. The client uses lazy evaluation and remote metadata (DMR for DAP4) to let you inspect and access only the data you need, avoiding full downloads of large remote arrays.\n\nThe package is built on a foundation of common scientific Python libraries (numpy, scipy, requests) and web tools (webob, Jinja2, beautifulsoup4, lxml). It is widely used as a backend engine for xarray and is recognized as a stable, long-lived project in the scientific Python ecosystem. The server mode supports pluggable data handlers (e.g., netCDF4) and can be deployed standalone or behind Apache, making it suitable for publishing scientific datasets over HTTP.","worth_installing":"Yes. pydap is a mature, actively maintained project (Production/Stable, last release 49 days ago) with no known vulnerabilities, low install friction, and a permissive MIT license. It fills a specific and well-defined role in scientific Python: OPeNDAP protocol support for remote data access. Install it if you need to work with OPeNDAP servers or publish scientific data over HTTP; skip it if you don't use OPeNDAP or remote lazy-loaded data."},"id":"pydap","links":{"html":"https://skillfed.io/packages/pydap","md":"https://skillfed.io/packages/pydap.md","pypi":"https://pypi.org/project/pydap/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-26","license_spdx":null,"license_treatment":"permissive","name":"pydap","python_support":"supports_current","summary":"A pure python implementation of the Data Access Protocol."},"popularity":{"monthly_downloads":635787,"position":5634,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"3.5.10"}