Based on our record, Docusaurus seems to be a lot more popular than Amazon Comprehend. While we know about 194 links to Docusaurus, we've tracked only 19 mentions of Amazon Comprehend. 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.
Docusaurus is a Facebook project designed for building, deploying, and maintaining open source project websites. With a strong focus on ease of use and extensive documentation, it helps developers create and manage project documentation efficiently. Its significant following on GitHub underscores its value in the open source community. Explore more about Docusaurus on their website. - Source: dev.to / 14 days ago
Learn more about Docusaurus in its official documentaton. - Source: dev.to / about 1 month ago
Docusaurus is a popular open-source documentation tool primarily designed for product documentation and other technical documentation needs. It was first released in 2017 by Facebook Open Source (now Meta Open Source). Just recently, Docsaurus version 3.0 was released. - Source: dev.to / 3 months ago
Facebook's React/Markdown SSG docusaurus does those things: https://docusaurus.io/ Though you may have to use a plugin for responsive images: https://docusaurus.io/docs/api/plugins/@docusaurus/plugin-ideal-image. - Source: Hacker News / 3 months ago
Created by Facebook, Docusaurus is an open source static site generator built on top of React. Docusaurus is also used by several platforms like Redux, Ionic, Supabase, etc. To host their documentation. They recently released version 3.0 of the framework. The generator provides documentation-centric features like MDX support, versioning, translation, search, and loads of customization options. - Source: dev.to / 5 months ago
Would you like additional capabilities like connecting to Machine Learning, Dashboards and Quicksight and leveraging other tools like Comprehend. - Source: dev.to / 12 months ago
Once again, I asked ChatGPT to perform this analysis. I could have used some of the AI tools provided by AWS, like the detectSentiment API from Amazon Comprehend, but tools like ChatGPT make it so easy to just add a simple "also, tell me in one word what the sentiment is" clause to a query I'm asking. - Source: dev.to / about 1 year ago
And now we can run amplify push to create the resources in AWS. The AWS service that will be used for this functionality is Amazon Comprehend. The pricing for this service can be found here. - Source: dev.to / over 1 year ago
Amazon has developed its own NLP service called Amazon Comprehend, which is designed to extract insights and relationships from unstructured text data. Source: over 1 year ago
First, can you use a different AWS service, such as Comprehend or SageMaker? You only "pay for what you use" instead of paying for an idle server. This is especially helpful for a start up, since you don't pay a lot if you don't have a lot of customers.. Source: over 1 year ago
GitBook - Modern Publishing, Simply taking your books from ideas to finished, polished books.
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
Doxygen - Generate documentation from source code
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
MkDocs - Project documentation with Markdown.
Google Cloud Natural Language API - Natural language API using Google machine learning