parsel

parsel

Python Software Foundation
python-sql

python-sql

Python Software Foundation

About

Parsel is a BSD-licensed Python library to extract and remove data from HTML and XML using XPath and CSS selectors, optionally combined with regular expressions. Create a selector object for the HTML or XML text that you want to parse. Then use CSS or XPath expressions to select elements. CSS is a language for applying styles to HTML documents. It defines selectors to associate those styles with specific HTML elements. XPath is a language for selecting nodes in XML documents, which can also be used with HTML. You can use either CSS or XPath. CSS is usually more readable, but some things can only be done with XPath. Being built atop lxml, parsel selectors support some EXSLT extensions and come with pre-registered namespaces to use in XPath expressions. Parsel selectors allow you to chain selectors, so most of the time you can just select by class using CSS and then switch to XPath when needed.

About

​Xmplify is a 64-bit native application providing a fully XML-aware editing environment. It offers intelligent editing aids and suggestions by analyzing XML content in real-time. It features an outline view that displays the document's structure and updates automatically with edits. For documents with a DTD or XML Schema, Xmplify performs automatic validation and offers auto-completion based on the document's definition, displaying relevant documentation for each suggestion. In the absence of a specified DTD or Schema, Xmplify can automatically derive one to facilitate accurate auto-completion. Additional features include quick navigation to element definitions, support for XSL transformations with built-in and external processors, live web previews for (X)HTML documents, and powerful search capabilities using XPath and regular expressions.

About

python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.

About

litex.regon, a frontend for Polish REGON database. Simple, pythonic wrapper for REGON database. To access its SOAP API, one needs a user key issued by REGON administrators. REGONAPI accepts one argument, the service URL (provided by REGON administrators). After login, one can start querying the database. Single REGON number (either 9 or 14 digits long), single 10 digit KRS number, single NIP (10 digits strings), collection of REGONs (all of them have to be either 14 or 9 digits long), collection of KRSs, collection of NIPs. Only one parameter is used in the query. If multiple ones are passed, first from the above list is taken into account. Additionally, a detailed parameter can be passed, detailed=True causes the search method to fetch the default detailed report. If one knows the REGON of a business entity and a detailed report name, a full report can be fetched directly.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone searching for a library to extract data from HTML and XML using XPath and CSS selectors

Audience

Users interested in a solution offering real-time analysis, intelligent auto-completion, and comprehensive validation features

Audience

Developers searching for a solution offering a library to write SQL queries

Audience

Anyone searching for a pythonic wrapper solution for regon databases

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$59 one-time payment
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Python Software Foundation
United States
pypi.org/project/parsel/

Company Information

Xmplify
Founded: 2006
United States
xmplifyapp.com

Company Information

Python Software Foundation
United States
pypi.org/project/python-sql/

Company Information

regon
Poland
github.com/mwegrzynek/litex.regon

Alternatives

Alternatives

Alternatives

Alternatives

yarl

yarl

Python Software Foundation
waiting

waiting

Python Software Foundation
XmlPad

XmlPad

Semyon A. Chertkov
Kate

Kate

KDE
XML Notepad

XML Notepad

Microsoft
warcat

warcat

Python Software Foundation
python-sql

python-sql

Python Software Foundation

Categories

Categories

Categories

Categories

Integrations

Domino Enterprise MLOps Platform
HTML
Python
Travis CI
XML

Integrations

Domino Enterprise MLOps Platform
HTML
Python
Travis CI
XML

Integrations

Domino Enterprise MLOps Platform
HTML
Python
Travis CI
XML

Integrations

Domino Enterprise MLOps Platform
HTML
Python
Travis CI
XML
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