UI-licious

UI-licious

Uilicious
python-sql

python-sql

Python Software Foundation
+

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About

Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.

About

Stop writing brittle tests with hard-coded CSS, XPATH selectors and waits. Write tests that are meaningful to people, effortless to maintain, and reusable. The reason for this is because writing your tests using hard-coded CSS and XPATH selectors is like pouring concrete onto a specific UI implementation. This creates very high-maintenance tests that break at the slightest changes to the UI and are very hard for humans to read. UI-licious uses dynamic code analysis to understand the structure of your website based on the use of semantic HTML and ARIA accessibility attributes, as well as context of the previous commands, to identify which is the intended element to target for every command. This means that even if the HTML code for the UI changes underneath the code, the test is valid as long as the user journey remains the same. That said, your website doesn't to be written perfectly for UI-licious to work.

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.

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

Component Library solution for DevOps teams

Audience

IT teams searching for a platform to test and continuously monitor end-to-end user journeys across multiple browsers and resolutions

Audience

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

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

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$90 per month
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

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

Company Information

NumPy
numpy.org

Company Information

Uilicious
Founded: 2016
Singapore
uilicious.com

Company Information

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

Alternatives

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h5py

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Avo Assure

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warcat

warcat

Python Software Foundation

Categories

Categories

Categories

Integrations

Avanzai
CircleCI
CodeShip
Coiled
Domino Enterprise MLOps Platform
Flower
GitLab
Gmail
Google Chrome
Jenkins
Microsoft Teams
NVIDIA FLARE
PaizaCloud
Safari
Slack
Train in Data
Unify AI
Visual Studio Code
imageio
scikit-learn

Integrations

Avanzai
CircleCI
CodeShip
Coiled
Domino Enterprise MLOps Platform
Flower
GitLab
Gmail
Google Chrome
Jenkins
Microsoft Teams
NVIDIA FLARE
PaizaCloud
Safari
Slack
Train in Data
Unify AI
Visual Studio Code
imageio
scikit-learn

Integrations

Avanzai
CircleCI
CodeShip
Coiled
Domino Enterprise MLOps Platform
Flower
GitLab
Gmail
Google Chrome
Jenkins
Microsoft Teams
NVIDIA FLARE
PaizaCloud
Safari
Slack
Train in Data
Unify AI
Visual Studio Code
imageio
scikit-learn
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