{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/3"}],"enrichment":{"capability":"Fetches Statistics Canada data through the Web Data Service API and loads it into pandas DataFrames, implementing most WDS functions with helper methods for common table and vector queries.","skillfed_tags":["canadian-data","statistics-api","data-integration"],"use_cases":["Download Canadian census or demographic tables into a DataFrame for analysis or visualization","Retrieve time-series economic indicators (e.g., employment, inflation) from StatCan vectors","Automate regular data pulls from Statistics Canada for reporting or dashboards","Combine multiple StatCan tables in a single Python script for cross-dataset analysis","Build data pipelines that ingest official Canadian statistics into a data warehouse"],"what_it_does":"stats-can is a Python client for Statistics Canada's Web Data Service (WDS), wrapping the official API to make it easier to fetch Canadian statistical data directly into pandas DataFrames. It implements most WDS functions and adds convenience helpers for common workflows like loading tables by ID or retrieving vectors of time-series data. The library depends on requests for HTTP calls, pandas and numpy for data handling, tqdm for progress feedback, and pydantic for validation.\n\nThe package is aimed at data analysts, researchers, and developers working with Canadian statistics who want to programmatically access StatCan data without manual downloads. It handles the API plumbing and data transformation, letting you focus on analysis rather than HTTP mechanics.","worth_installing":"Yes, if you work with Canadian statistical data and want programmatic access without manual downloads. The package is actively maintained, has low install friction, and covers most WDS use cases. The GPL-3.0-or-later license is a consideration only if you're building proprietary software; for research, analysis, or open-source projects it poses no barrier. No known security vulnerabilities."},"id":"stats-can","links":{"html":"https://skillfed.io/packages/stats-can","md":"https://skillfed.io/packages/stats-can.md","pypi":"https://pypi.org/project/stats-can/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-04-14","license_spdx":"GPL-3.0-or-later","license_treatment":"copyleft","name":"stats-can","python_support":"supports_current","summary":"Read StatsCan data into python, mostly pandas dataframes"},"popularity":{"monthly_downloads":129495,"position":11667,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"3.2.3"}