pandas_access
A tiny, subprocess-based tool for reading a MS Access database(.rdb) as a Pandas DataFrame.
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- MDBTools must be installed as a system library (e.g., via Homebrew on macOS) before pandas_access can function.
- High install friction: requires MDBTools as a system dependency (installed separately via Homebrew on macOS or equivalent on other platforms) before the Python package can function.
- Package is abandoned—last release was 2016-06-07 with no commits since 2023-07-26.
License · maintenance · safety
permissive license (permissive) — MIT License (permissive) imposes no significant restrictions on use, modification, or distribution.
last release 2016-06-07 (3720 days) · last repo commit 2023-07-26 · 58 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 120,008 downloads/mo, #12,047 on PyPI
Alternatives
Verify before relying
import pandas_access as mdb
# List tables
for tbl in mdb.list_tables("my.mdb"):
print(tbl)
# Read a table
df = pandas_access.read_table("my.mdb", "MyTable")
# Read in chunks
for chunk in pandas_access.read_table("my.mdb", "MyTable", chunksize=10000):
process(chunk)- Whether MDBTools installation works reliably on Windows and Linux, or if macOS is the primary supported platform.
- Current compatibility with modern Pandas versions and Python 3.x, given no updates since 2016-06-07.
- Whether the subprocess-based approach handles concurrent access or large files without stability issues.
What it is and 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.
The tool is designed for one-off data extraction tasks—reading 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.
Use it for
- 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.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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.
Install
pandas-access on PyPI
Before you install
High install friction: requires MDBTools as a system dependency (installed separately via Homebrew on macOS or equivalent on other platforms) before the Python package can function. Package is abandoned—last release was 2016-06-07 with no commits since 2023-07-26.
MDBTools must be installed as a system library (e.g., via Homebrew on macOS) before pandas_access can function.
License in practice
MIT License (permissive) imposes no significant restrictions on use, modification, or distribution.
Quickstart
import pandas_access as mdb
# List tables
for tbl in mdb.list_tables("my.mdb"):
print(tbl)
# Read a table
df = pandas_access.read_table("my.mdb", "MyTable")
# Read in chunks
for chunk in pandas_access.read_table("my.mdb", "MyTable", chunksize=10000):
process(chunk)Verify before relying
- Whether MDBTools installation works reliably on Windows and Linux, or if macOS is the primary supported platform.
- Current compatibility with modern Pandas versions and Python 3.x, given no updates since 2016-06-07.
- Whether the subprocess-based approach handles concurrent access or large files without stability issues.
Package facts
| License | permissive license permissive |
| Python support | Not specified |
| Install friction | High. Source build required |
| Runtime dependencies | None |
| Maintenance | Abandoned 3,720 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 120,008 / month, #12,047 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: pandas_access-0.0.1.tar.gz
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