| Port details |
- py-dataflows-tabulator Consistent interface for stream reading and writing tabular data
- 1.54.3 devel
 =0      Package not present on quarterly.This port was created during this quarter. It will be in the next quarterly branch but not the current one. - Maintainer: sunpoet@FreeBSD.org
- Port Added: 2024-11-21 13:42:08
- Last Update: 2024-11-21 13:37:51
- Commit Hash: 20c6a77
- Also Listed In: python
- License: MIT
- WWW:
- https://github.com/akariv/tabulator-py
- Description:
- 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).
  ¦  ¦  ¦  ¦ 
- Manual pages:
- FreshPorts has no man page information for this port.
- pkg-plist: as obtained via:
make generate-plist - There is no configure plist information for this port.
- Dependency lines:
-
- ${PYTHON_PKGNAMEPREFIX}dataflows-tabulator>0:devel/py-dataflows-tabulator@${PY_FLAVOR}
- To install the port:
- cd /usr/ports/devel/py-dataflows-tabulator/ && make install clean
- To add the package, run one of these commands:
- pkg install devel/py-dataflows-tabulator
- pkg install py311-dataflows-tabulator
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.
NOTE: This is a Python port. Instead of py311-dataflows-tabulator listed in the above command, you can pick from the names under the Packages section.- PKGNAME: py311-dataflows-tabulator
- Package flavors (<flavor>: <package>)
- py311: py311-dataflows-tabulator
- distinfo:
- TIMESTAMP = 1731679130
SHA256 (dataflows-tabulator-1.54.3.tar.gz) = c697990bf91d16fb2ca1885cd665608a60c6c2c68d4d5e07609b455a93b20352
SIZE (dataflows-tabulator-1.54.3.tar.gz) = 83857
No package information for this port in our database- Sometimes this happens. Not all ports have packages. This is doubly so for new ports, like this one.
- Dependencies
- NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
- Build dependencies:
-
- py311-setuptools>=0 : devel/py-setuptools@py311
- py311-wheel>=0 : devel/py-wheel@py311
- python3.11 : lang/python311
- py311-build>=0 : devel/py-build@py311
- py311-installer>=0 : devel/py-installer@py311
- Test dependencies:
-
- python3.11 : lang/python311
- Runtime dependencies:
-
- py311-boto3>=1.9 : www/py-boto3@py311
- py311-chardet>=3.0 : textproc/py-chardet@py311
- py311-click>=6.0 : devel/py-click@py311
- py311-ijson>=3.0.3 : devel/py-ijson@py311
- py311-jsonlines>=1.1 : devel/py-jsonlines@py311
- py311-linear-tsv>=1.0 : devel/py-linear-tsv@py311
- py311-openpyxl>=2.6 : textproc/py-openpyxl@py311
- py311-requests>=2.8 : www/py-requests@py311
- py311-six>=1.9 : devel/py-six@py311
- py311-sqlalchemy20>=0.9.6 : databases/py-sqlalchemy20@py311
- py311-unicodecsv>=0.14 : devel/py-unicodecsv@py311
- py311-xlrd>=1.0 : textproc/py-xlrd@py311
- python3.11 : lang/python311
- This port is required by:
- for Run
-
- databases/py-tableschema
Configuration Options:- No options to configure
- Options name:
- devel_py-dataflows-tabulator
- USES:
- python
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
|
Number of commits found: 1
| Commit History - (may be incomplete: for full details, see links to repositories near top of page) |
| Commit | Credits | Log message |
|---|
1.54.3
21 Nov 2024 13:37:51
 |
Po-Chuan Hsieh (sunpoet) |
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). |
Number of commits found: 1
|
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