{"categories":[{"label":"Front-Ends","url":"https://skillfed.io/packages/category/database-front-ends/2"}],"enrichment":{"capability":"Reads MS Access database files (.mdb) into Pandas DataFrames by wrapping the MDBTools command-line utility via subprocess.","skillfed_tags":["legacy-format","data-extraction"],"use_cases":["Extract a single MS Access table into a Pandas DataFrame for data analysis or cleaning.","Batch-read large Access tables in chunks to avoid memory exhaustion.","List all tables in a legacy .mdb file to understand its schema before migration.","One-time conversion of Access data to CSV or other formats via Pandas export methods."],"what_it_does":"pandas_access is a thin wrapper around MDBTools that lets you load MS Access database tables directly into Pandas DataFrames. It exposes two main operations: listing tables in an .mdb file and reading a table (with optional chunking for large datasets). The package has no Python runtime dependencies beyond Pandas itself, but requires MDBTools to be installed as a system library before use.\n\nThe tool is designed for one-off data extraction tasks\u2014reading a legacy .mdb file into a DataFrame for analysis or migration. It is not a full database driver; the description itself recommends alternatives for more advanced use cases. The subprocess-based design means it spawns external MDBTools processes for each operation, which may be slower than native drivers but avoids complex C bindings.","worth_installing":"No. The package is abandoned (last updated 2016-06-07, no commits since 2023-07-26), requires a system dependency (MDBTools) that adds significant install friction, and has not been maintained for years. If you must read an .mdb file, consider maintained alternatives."},"id":"pandas-access","links":{"html":"https://skillfed.io/packages/pandas-access","md":"https://skillfed.io/packages/pandas-access.md","pypi":"https://pypi.org/project/pandas-access/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2016-06-07","license_spdx":null,"license_treatment":"permissive","name":"pandas_access","python_support":"unspecified","summary":"A tiny, subprocess-based tool for reading a MS Access database(.rdb) as a Pandas DataFrame."},"popularity":{"monthly_downloads":120008,"position":12047,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.0.1"}