Inkscape
Sketch
Affinity Designer
Adobe Illustrator
Adobe Photoshop
GIMP
Krita
Canva
monkeylearn
Amazon Comprehend
Google Cloud Natural Language API
spaCy
Chattermill
BytesView
AYLIEN
FuzzyWuzzy
Inkscape monkeylearnBased on our record, Inkscape seems to be a lot more popular than monkeylearn. While we know about 486 links to Inkscape, we've tracked only 11 mentions of monkeylearn. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For photo editing and manipulation 1) https://www.gimp.org/ 2) https://www.digikam.org/ 3) https://www.darktable.org/ Vector based editing tool 1) https://inkscape.org/ UI/UX 1). https://www.sketch.com/ I haven't found a tool that is as good as Adobe Indesign for desktop publishing. - Source: Hacker News / 3 days ago
Well, there is Serif's suite: https://affinity.serif.com/en-us/designer/ (There's also a Photo and page layout app) or the open-source stuff: - https://krita.org/en/ - https://inkscape.org/ - https://www.scribus.net/. - Source: Hacker News / 9 days ago
I created the initial version of the example in Inkscape v1.3.2. It produces markup that uses context-stroke. Vector graphics editors tend to be on the leading edge when it comes to adoption of SVG markup. It is the browsers that lag more often. - Source: dev.to / about 1 month ago
Agreed. It would be nice if more apps would build scripting in. Krita has: https://scripting.krita.org/lessons/introduction while for Inkscape there is: https://inkscape.org/~pakin/%E2%98%85simple-inkscape-scripting. - Source: Hacker News / about 2 months ago
All in this challenge was a journey for me, but things I really loved creating the project was understand how to set an encode SVG as background image. For this, I created my ilustrations (industries, trucks, animals, etc.) on Inkscape, I copied the SVG code and encoded using oksel.github.io/url-encoder. - Source: dev.to / about 2 months ago
MonkeyLearn: A platform for text analysis and machine learning, allowing users to train custom models for tasks like sentiment analysis and topic classification. Source: 6 months ago
Monkeylearn.com — Text analysis with machine learning, free 300 queries/month. - Source: dev.to / over 1 year ago
MonkeyLearn supports 11 languages for data analysis (Spanish, Portuguese, German, Russian, Italian, French, Dutch, Chinese, Japanese, Korean and Arabic). But for sentiment analysis, only Spanish seems to be available, I’m not sure about that. Source: over 1 year ago
R3: Used RedditExtractoR in R to download all-time top posts, and ran the resulting .csv through https://monkeylearn.com/. Downloaded the resulting table and deleted top result "OC" - then visualized it with ggplot to give a sense of absolute numbers. Total posts considered in this are 988, the word cloud only looks at the 98 most mentioned words/phrases. Let me know if you have got any questions/concerns! Source: almost 2 years ago
Go to monkeylearn.com and sign up for a free demo. Then cut and paste your blog text into the extractor/classifier. Source: about 2 years ago
Sketch - Professional digital design for Mac.
Amazon Comprehend - Discover insights and relationships in text
Affinity Designer - Professional creative software, exclusively for Mac.
Google Cloud Natural Language API - Natural language API using Google machine learning
Adobe Illustrator - Adobe Illustrator is a vector graphics editor.
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
