agate-dbf
agate-dbf adds read support for dbf files to agate.
Decision gist · record as of 2026-08-14
Yes, if you need to read DBF files. The package is lightweight, has no security issues, and integrates cleanly with agate. The aging maintenance status is not a blocker for a stable, narrow-purpose tool—DBF format itself doesn't change—but don't expect rapid updates if issues arise. Install it only if DBF support is actually on your critical path.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with only two runtime dependencies (agate and dbfread).
- Maintenance status is aging—last release was 242 days ago—so expect slower response to issues, though the package remains functional for its narrow scope.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2025-12-15 (242 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 351,763 downloads/mo, #7,319 on PyPI
Alternatives
Verify before relying
pip install agate-dbf
import agate
import agate_dbf
table = agate.Table.from_dbf('data.dbf')- Whether dbfread itself is actively maintained and handles all DBF variants the package may encounter
- Performance characteristics when working with large DBF files
- Compatibility with newer agate versions beyond those tested at release
What it is and what it does
agate-dbf is a small extension to the agate data analysis library that adds the ability to read DBF (dBASE) files. DBF is a legacy database format still found in older systems, government data, and specialized domains. This package bridges that gap by letting you load DBF files directly into agate tables, where you can then use agate's full suite of data manipulation, analysis, and export tools.
The package is straightforward: it depends on agate for the table abstraction and dbfread for the actual DBF parsing. It's designed for developers working with historical datasets or integrating with systems that still use DBF as a data exchange format. With no known vulnerabilities and a permissive MIT license, it's a low-risk addition when you need DBF support.
Use it for
- Load legacy dBASE files from older business systems into agate for modern analysis and export
- Batch convert DBF datasets to CSV, JSON, or SQL using agate's export capabilities
- Integrate DBF data sources into data pipelines that otherwise work with agate tables
- Analyze historical government or municipal datasets still stored in DBF format
- Combine DBF data with other sources by importing into agate's unified table model
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to read DBF files.
The package is lightweight, has no security issues, and integrates cleanly with agate. The aging maintenance status is not a blocker for a stable, narrow-purpose tool—DBF format itself doesn't change—but don't expect rapid updates if issues arise. Install it only if DBF support is actually on your critical path.
Install
agate-dbf on PyPI
Before you install
Low install friction with only two runtime dependencies (agate and dbfread). Maintenance status is aging—last release was 242 days ago—so expect slower response to issues, though the package remains functional for its narrow scope.
License in practice
MIT license is permissive; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install agate-dbf
import agate
import agate_dbf
table = agate.Table.from_dbf('data.dbf')Verify before relying
- Whether dbfread itself is actively maintained and handles all DBF variants the package may encounter
- Performance characteristics when working with large DBF files
- Compatibility with newer agate versions beyond those tested at release
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesagatedbfread |
| Maintenance | Aging 242 days since the last release |
| First released | |
| Downloads | 351,763 / month, #7,319 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTopic :: Scientific/Engineering :: Information AnalysisTopic :: Software Development :: Libraries :: Python Modules |
Evidence: agate_dbf-0.2.4-py3-none-any.whl
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See also agate-excel · agate-sql · dbf · dbfread · agate · pandas_access · xlrd · dbt-sqlserver · tablib · compoundfiles