TouchRetouch

TouchRetouch

ADVA Soft
blanket.js

blanket.js

Blanket.js

About

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy).

About

Remove undesired objects from either plain or more complex backgrounds (bokeh, gradient, patterned, etc.) with equally good results. With TouchRetouch, clear images are only a click away. Single-click a blemish to have it automatically selected and erased. Click a line or drag along its part — and the app will do the rest. It will accurately select the entire line and make it disappear in a flash. Use Clone Stamp to solve complex content removal tasks. The tool does quite well when it comes to removing objects bordering other objects. Make basic color and tonal adjustments to your photos to ensure that your final edited pieces look the way they should. Improve the composition of your photos through cropping. You only have to drag a photo frame in the direction needed or use one of the offered standard proportions.

About

A seamless JavaScript code coverage library. Blanket.js is a code coverage tool for JavaScript that aims to be easy to install, easy to use, and easy to understand. Blanket.js can be run seamlessly or can be customized for your needs. JavaScript code coverage compliments your existing JavaScript tests by adding code coverage statistics (which lines of your source code are covered by your tests). Parsing the code using Esprima and node-falafel, and instrumenting the file by adding code tracking lines. Connecting to hooks in the test runner to output the coverage details after the tests have been completed. A Grunt plugin has been created to allow you to use Blanket like a "traditional" code coverage tool (creating instrumented copies of physical files, as opposed to live-instrumenting). Runs the QUnit-based Blanket report headlessly using PhantomJS. Results are displayed on the console, and the task will cause Grunt to fail if any of your configured coverage thresholds are not met.

About

Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, volumetric data, and scientific formats. It is cross-platform, runs on Python 3.5+, and is easy to install. Imageio is written in pure Python, so installation is easy. Imageio works on Python 3.5+. It also works on Pypy. Imageio depends on Numpy and Pillow. For some formats, imageio needs additional libraries/executables (e.g. ffmpeg), which imageio helps you to download/install. If something doesn’t work as it should, you need to know where to search for causes. The overview on this page aims to help you in this regard by giving you an idea of how things work, and - hence - where things may go sideways.

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

Developers looking for a Python library for creating static, animated, & interactive visualizations

Audience

Anyone that wants to remove undesired objects from either plain or more complex backgrounds

Audience

Developers seeking a solution to manage their code tracking processes and statistics

Audience

Component Library solution for developers

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

$14.99 per license
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

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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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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

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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

Matplotlib
matplotlib.org

Company Information

ADVA Soft
Founded: 2007
Germany
adva-soft.com/app-pageMacTouch.html

Company Information

Blanket.js
github.com/alex-seville/blanket

Company Information

imageio
imageio.readthedocs.io/en/stable/

Alternatives

Alternatives

Photo Retouch

Photo Retouch

changpeng

Alternatives

Alternatives

JDeli

JDeli

IDR Solutions
YouCam Perfect

YouCam Perfect

Perfect Corp
RKTracer

RKTracer

RKVALIDATE
PicWish

PicWish

Wangxutech
yarl

yarl

Python Software Foundation
Testwell CTC++

Testwell CTC++

Testwell
Aider

Aider

Aider AI

Categories

Categories

Categories

Categories

Integrations

Axis LMS
Comet LLM
Dash
JSON
JavaScript
Kedro
MLJAR Studio
Mocha
NumPy
PaizaCloud
Pillow
Python
QUnit
Train in Data
Yandex Data Proc
scikit-learn

Integrations

Axis LMS
Comet LLM
Dash
JSON
JavaScript
Kedro
MLJAR Studio
Mocha
NumPy
PaizaCloud
Pillow
Python
QUnit
Train in Data
Yandex Data Proc
scikit-learn

Integrations

Axis LMS
Comet LLM
Dash
JSON
JavaScript
Kedro
MLJAR Studio
Mocha
NumPy
PaizaCloud
Pillow
Python
QUnit
Train in Data
Yandex Data Proc
scikit-learn

Integrations

Axis LMS
Comet LLM
Dash
JSON
JavaScript
Kedro
MLJAR Studio
Mocha
NumPy
PaizaCloud
Pillow
Python
QUnit
Train in Data
Yandex Data Proc
scikit-learn
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