Curiosity.ai
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Curiosity is a desktop productivity app for Windows, Mac and Linux.
Finding information can be time-consuming and frustrating: There are just too many files and messages in too many places.
Curiosity gives you one place to search across all your folders and cloud apps like Gmail and Slack. It also searches deep inside files, messages, and attachments. That puts all your information at your fingertips so you can focus and get more done.
Curiosity also works as a launcher so you can open programs, join your next meeting, do math, and more. That means all your work is just a shortcut away.
Curiosity includes industry-grade security features and always keeps your data safe and private on your computer.
Codacy automates code reviews and monitors code quality on every commit and pull request reporting back the impact of every commit or pull request, issues concerning code style, best practices, security, and many others. It monitors changes in code coverage, code duplication and code complexity. Saving developers time in code reviews thus efficiently tackling technical debt. JavaScript, Java, Ruby, Scala, PHP, Python, CoffeeScript and CSS are currently supported. Codacy is static analysis without the hassle.
Curiosity.ai CodacyCuriosity is good, and constantly updated
Based on our record, Curiosity.ai should be more popular than Codacy. It has been mentiond 14 times since March 2021. 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.
If you're looking for something local, we develop an app for macOS and Windows that let's you search and talk to local files and data from cloud apps: https://curiosity.ai. - Source: Hacker News / 4 days ago
We experimented with it sometime ago for our https://curiosity.ai app, initial training on your data was a bit heavy (at the time, probably fine by today's standards) but nice results if you had enough files. Needs to be done with care as for small datasets as there's not enough info for a model to learn and you end up introducing more noise than anything. - Source: Hacker News / about 1 month ago
> I'm in search of a local LLM that can run completely offline for processing personal documents. Key requirements include privacy (no data leaves my machine) and performance (efficient with large datasets). Any recommendations for open-source / commercial solutions that fit the bill in 2024? Also, what's the current state of local LLMs—are: Are they practical and useful, or still facing significant limitations?... - Source: Hacker News / about 2 months ago
You can try https://curiosity.ai, supports Windows and macOS. - Source: Hacker News / 3 months ago
We're working on something similar at https://curiosity.ai - no plugins yet but something we have in our roadmap for next year. - Source: Hacker News / 7 months ago
I'm trying to use Codacy to review my code. One of the issues is regarding the use of the "setcookie" function. Source: over 2 years ago
Does anyone have an example on how to get this conversion done on github actions where I can convert the *.coverage file into a *.xml file for uploading to codacy.com. Source: almost 3 years ago
Online analysisFinally, if you want a simple way to analyze your code without having to manually configure everything locally, you can use an online code review service such as Codacy (shameless plug here). We already integrate some of the mentioned detection tools in this article and we are working every day to improve the service. The other main benefit of using automated code review tools is to allow you to... - Source: dev.to / about 3 years ago
Because you care and because you always want to be better, automation is a great way to optimize your review workflow process. Go ahead and do a quick search on Google for automated code reviews and see who better fits your workflow. You'll find Codacy on your Google search and we hope you like what we do. - Source: dev.to / about 3 years ago
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