dbfread
Read DBF Files with Python
Decision gist · record as of 2026-08-14
Yes, but only for legacy data recovery or one-off batch jobs where DBF is the source format and you accept the risk of an unmaintained package. The lack of dependencies and simple API make it low-friction to try. Do not use for production systems or new projects; consider alternatives if you need active maintenance or handling of edge cases discovered since 2016.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Pure Python with no runtime dependencies and installs as a wheel with low friction.
- However, the package is abandoned—last release was 2016-11-25.
- No active maintenance or security updates.
License · maintenance · safety
MIT (permissive) — MIT license is permissive and imposes no restrictions on use, modification, or distribution in commercial or private projects.
last release 2016-11-25 (3549 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,275,757 downloads/mo, #3,173 on PyPI
Alternatives
Verify before relying
pip install dbfread
from dbfread import DBF
for record in DBF('people.dbf'):
print(record)- Whether the package handles all DBF variants reliably in practice beyond Visual FoxPro, which is noted as the primary test target.
- Current compatibility with modern Python versions beyond the stated 3.2 and 2.7 support from 2016.
- Whether memo file support (FPT and DBT) covers all real-world use cases encountered since the last release.
What it is and what it does
dbfread is a pure-Python library for reading DBF files—the legacy database format used by dBase, Visual FoxPro, and similar systems. It parses DBF records and returns them as ordered dictionaries or custom types, with support for 18 field types and memo files (FPT and DBT). Records can be streamed directly from disk or loaded into memory for random access, making it suitable for batch jobs and one-off data migration scripts.
The package has no external dependencies and installs easily. However, it has been abandoned since 2016-11-25, with no maintenance or bug fixes. While it may still work for straightforward DBF reading tasks, there is no active support for emerging issues or modern Python versions.
Use it for
- Migrate legacy dBase or Visual FoxPro data to modern databases or formats in batch scripts.
- Extract and parse DBF files from archived systems or legacy business applications.
- Read memo fields (FPT, DBT) alongside structured DBF records for data recovery or analysis.
- Prototype quick data import tools when DBF is the only available source format.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, but only for legacy data recovery or one-off batch jobs where DBF is the source format and you accept the risk of an unmaintained package.
The lack of dependencies and simple API make it low-friction to try. Do not use for production systems or new projects; consider alternatives if you need active maintenance or handling of edge cases discovered since 2016.
Install
dbfread on PyPI
Before you install
Pure Python with no runtime dependencies and installs as a wheel with low friction. However, the package is abandoned—last release was 2016-11-25. No active maintenance or security updates.
License in practice
MIT license is permissive and imposes no restrictions on use, modification, or distribution in commercial or private projects.
Quickstart
pip install dbfread
from dbfread import DBF
for record in DBF('people.dbf'):
print(record)Verify before relying
- Whether the package handles all DBF variants reliably in practice beyond Visual FoxPro, which is noted as the primary test target.
- Current compatibility with modern Python versions beyond the stated 3.2 and 2.7 support from 2016.
- Whether memo file support (FPT and DBT) covers all real-world use cases encountered since the last release.
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 3,549 days since the last release |
| First released | |
| Downloads | 2,275,757 / month, #3,173 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: dbfread-2.0.7-py2.py3-none-any.whl
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