Dependabot might be a bit more popular than FuzzyWuzzy. We know about 13 links to it since March 2021 and only 11 links to FuzzyWuzzy. 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.
GitHub integrated security scanning for vulnerabilities in their repositories. When they find a vulnerability that is solved in a newer version, they file a Pull Request with the suggested fix. This is done by a tool called Dependabot. - Source: dev.to / almost 2 years ago
Dependabot provides a way to keep your dependencies up to date. Depending on the configuration, it checks your dependency files for outdated dependencies and opens PRs individually. Then based on requirement PRs can be reviewed and merged. - Source: dev.to / over 2 years ago
The first approach we looked at was Dependabot - a well-known tool for bumping dependencies. It checks for possible updates, opens Pull Requests with them, and allow users to review and merge (if you're confident enough with your test suite you can even set auto-merge). - Source: dev.to / over 2 years ago
Dependabot is dead simple and their punchline clearly states what it does. We started using it a couple of years back, a bit before Github acquired it. - Source: dev.to / almost 3 years ago
The most known tool for this is Dependabot. Dependabot integrates seemlessly into Github and is able to create pull requests for outdated dependencies. If you have set up automated tests on your codebase all you have to do is merge the pull request created by Dependabot. It does not get any easier. - Source: dev.to / almost 3 years ago
Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are. Source: over 1 year ago
Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search. Source: over 1 year ago
It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: almost 2 years ago
You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 2 years ago
To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100. Source: almost 3 years ago
Snyk - Snyk helps you use open source and stay secure. Continuously find and fix vulnerabilities for npm, Maven, NuGet, RubyGems, PyPI and much more.
Amazon Comprehend - Discover insights and relationships in text
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
WhiteSource Renovate - Automate your dependency updates
Microsoft Bing Spell Check API - Enhance your apps with the Bing Spell Check API from Microsoft Azure. The spell check API corrects spelling mistakes as users are typing.