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توضیحات

Data management framework for Python that provides functionality to describe, extract, validate, and transform tabular data

ویژگی	مقدار
سیستم عامل	-
نام فایل	frictionless-5.8.3
نام	frictionless
نسخه کتابخانه	5.8.3
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Open Knowledge Foundation
ایمیل نویسنده	info@okfn.org
آدرس صفحه اصلی	https://github.com/frictionlessdata/frictionless-py
آدرس اینترنتی	https://pypi.org/project/frictionless/
مجوز	MIT

# Frictionless Framework [![Build](https://img.shields.io/github/actions/workflow/status/frictionlessdata/framework/general.yaml?branch=main)](https://github.com/frictionlessdata/framework/actions) [![Coverage](https://img.shields.io/codecov/c/github/frictionlessdata/framework/main)](https://codecov.io/gh/frictionlessdata/framework) [![Release](https://img.shields.io/pypi/v/frictionless.svg)](https://pypi.python.org/pypi/frictionless) [![Citation](https://zenodo.org/badge/28409905.svg)](https://zenodo.org/badge/latestdoi/28409905) [![Codebase](https://img.shields.io/badge/codebase-github-brightgreen)](https://github.com/frictionlessdata/framework) [![Support](https://img.shields.io/badge/support-slack-brightgreen)](https://join.slack.com/t/frictionlessdata/shared_invite/zt-17kpbffnm-tRfDW_wJgOw8tJVLvZTrBg) ```markdown remark type=primary Migrating from an older version? Please read **[v5](blog/2022/08-22-frictionless-framework-v5.html)** announcement and migration guide. ``` Data management framework for Python that provides functionality to describe, extract, validate, and transform tabular data (DEVT Framework). It supports a great deal of data sources and formats, as well as provides popular platforms integrations. The framework is powered by the lightweight yet comprehensive [Frictionless Standards](https://specs.frictionlessdata.io/). ## Purpose - **Describe your data**: You can infer, edit and save metadata of your data tables. It's a first step for ensuring data quality and usability. Frictionless metadata includes general information about your data like textual description, as well as, field types and other tabular data details. - **Extract your data**: You can read your data using a unified tabular interface. Data quality and consistency are guaranteed by a schema. Frictionless supports various file schemes like HTTP, FTP, and S3 and data formats like CSV, XLS, JSON, SQL, and others. - **Validate your data**: You can validate data tables, resources, and datasets. Frictionless generates a unified validation report, as well as supports a lot of options to customize the validation process. - **Transform your data**: You can clean, reshape, and transfer your data tables and datasets. Frictionless provides a pipeline capability and a lower-level interface to work with the data. ## Features - Open Source (MIT) - Powerful Python framework - Convenient command-line interface - Low memory consumption for data of any size - Reasonable performance on big data - Support for compressed files - Custom checks and formats - Fully pluggable architecture - The included API server - More than 1000+ tests ## Installation ```bash $ pip install frictionless ``` ## Example ```bash $ frictionless validate data/invalid.csv [invalid] data/invalid.csv row field code message ----- ------- ---------------- -------------------------------------------- 3 blank-header Header in field at position "3" is blank 4 duplicate-header Header "name" in field "4" is duplicated 2 3 missing-cell Row "2" has a missing cell in field "field3" 2 4 missing-cell Row "2" has a missing cell in field "name2" 3 3 missing-cell Row "3" has a missing cell in field "field3" 3 4 missing-cell Row "3" has a missing cell in field "name2" 4 blank-row Row "4" is completely blank 5 5 extra-cell Row "5" has an extra value in field "5" ``` ## Documentation Please visit our documentation portal: - https://framework.frictionlessdata.io

نیازمندی

مقدار	نام
>=1.6	petl
>=1.0	marko
>=22.2.0	attrs
>=3.0	jinja2
>=5.3	pyyaml
>=0.6	isodate
>=1.4	rfc3986
>=3.0	chardet
>=1.9	pydantic
>=2.10	requests
>=4.2	humanize
>=0.8.10	tabulate
>=2.5	jsonschema
>=0.9.11	simpleeval
>=1.2	stringcase
>=0.5	typer[all]
>=0.18	validators
>=1.2	python-slugify
>=2.8	python-dateutil
>=4.3	typing-extensions
>=1.0	frictionless-ckan-mapper
>=1.2	xlrd
>=1.2	xlwt
>=3.0	openpyxl
>=0.0	tableschema-to-template
>=3.0	ijson
>=1.2	jsonlines
>=1.4	sqlalchemy
>=0.110	livemark
>=0.78	fastapi
>=0.17	uvicorn
>=0.0	python-multipart
>=1.9	boto3
>=1.12.1	google-api-python-client
>=1.0	frictionless-ckan-mapper
>=0.64.2	datasette
-	moto
-	httpx
-	black
-	yattag
-	pylama
-	pytest
-	pyright
-	ipython
-	livemark
-	pytest-cov
-	pytest-vcr
-	pytest-mock
-	pytest-only
-	oauth2client
-	requests-mock
-	pytest-dotenv
-	pytest-timeout
-	pytest-lazy-fixture
>=1.2	xlrd
>=1.2	xlwt
>=3.0	openpyxl
>=0.0	tableschema-to-template
>=1.0	frictionless-ckan-mapper
>=1.2	xlrd
>=1.2	xlwt
>=3.0	openpyxl
>=0.0	tableschema-to-template
>=3.0	ijson
>=1.2	jsonlines
>=1.4	sqlalchemy
>=1.50	pygithub
>=2.0	pygsheets
>=1.4	pyquery
>=3.0	ijson
>=1.2	jsonlines
>=0.110	livemark
>=1.4	sqlalchemy
>=1.0	pymysql
>=0.3	ezodf
>=4.0	lxml
>=1.0	pandas
>=0.8	fastparquet
>=1.4	sqlalchemy
>=3.0	psycopg
>=2.9	psycopg2
>=0.78	fastapi
>=0.17	uvicorn
>=0.0	python-multipart
>=3.0	savReaderWriter
>=1.4	sqlalchemy
>=2.10	visidata
>=3.99	grako
>=1.0	pyzenodo3

نحوه نصب

نصب پکیج whl frictionless-5.8.3:

pip install frictionless-5.8.3.whl

نصب پکیج tar.gz frictionless-5.8.3:

pip install frictionless-5.8.3.tar.gz