CVE and update status of the FreeBSD ports tree3,295 unaddressed CVEs in 670 portsAll times are CET
Port details

devel/py-dataflows-tabulator 1.54.3

Consistent interface for stream reading and writing tabular data

0
unaddressed
0
VuXML only
0
fixed
0
open problem reports

Port info

Maintainer
sunpoet@FreeBSD.org
Packages
latest: 1.54.3
Upstream
up to date
Last update
to 1.54.3 · 20c6a773f9
Quarterly
2026Q4: 1.54.3
WWW
https://github.com/akariv/tabulator-py
Links
cgit · VuXML · Report wrong data

Install

Package
# pkg install py312-dataflows-tabulator
installs 1.54.3 from latest; from quarterly (2026Q4) 1.54.3
Port
# cd /usr/ports/devel/py-dataflows-tabulator && make install clean
Size
85 KiB download · 467 KiB installed
Depends on
databases/py-sqlalchemy20 2.0.54, devel/py-click 8.5.0, devel/py-ijson 3.5.1, devel/py-jsonlines 4.0.0_1, devel/py-linear-tsv 1.1.0_1, devel/py-six 1.17.0, devel/py-unicodecsv 0.14.1_1, lang/python312 3.12.15, textproc/py-chardet 7.6.0,1, textproc/py-openpyxl 3.1.5, textproc/py-xlrd 2.0.2, www/py-boto3 1.43.99, www/py-requests 2.34.2
License
MIT

Packages by version and architecture

latest

FreeBSD versionamd64aarch64i386
FreeBSD 161.54.31.54.3–
FreeBSD 151.54.31.54.3–
FreeBSD 141.54.31.54.31.54.3

quarterly (2026Q4)

FreeBSD versionamd64aarch64i386
FreeBSD 151.54.31.54.3–
FreeBSD 141.54.31.54.31.54.3

version as in the ports tree (latest) or the most common one (quarterly) · different version · ✗ not built · – no packages for this platform. Package sets that have not been rebuilt for 60 days are left out.

Unaddressed and VuXML only (0)

No unaddressed CVE and nothing reported by pkg audit for the packaged version 1.54.3.

Fixed (0)

No VuXML entries for this package.

Problem reports (0) · open in Bugzilla, most recently changed first

None.

Commits (1)

Po-Chuan Hsieh (sunpoet) · 1.54.3
devel/py-dataflows-tabulator: Add py-dataflows-tabulator 1.54.3

dataflows-tabulator-py is a library for reading and writing tabular data
(csv/xls/json/etc).

Features:
- Supports most common tabular formats: CSV, XLS, ODS, JSON, Google Sheets, SQL,
  and others. See complete list below.
- Loads local and remote data: Supports HTTP, FTP and S3.
- Low memory usage: Only the current row is kept in memory, so you can large
  datasets.
- Supports compressed files: Using ZIP or GZIP algorithms.
- Extensible: You can add support for custom file formats and loaders (e.g.
  FTP).
20c6a773f9