Brave Search Reviews

1. Notgiv Inmaname

   · Random guy at Hypothetical Inexistent Organization of Proffesional Dumbasses · almost 5 years ago
   Brave Search is way better than other search engines.

   In contrast to other "private" search engines (except for Presearch and SearX), it doesn't have trackers, or not nearly as many. This information can be verified by installing uBlock Origin and ClearURLs, which detect 0 and 2 trackers respectively, against for example DuckDuckGo's nearly 10 and 19. Other alternatives are SearX (No trackers AT ALL, still kinda user-friendly) and Presearch (A bit easier to use but a tiny bit worse for privacy, it has 1 more tracking element).

   🏁 Competitors: DuckDuckGo, Mojeek, StartPage, Presearch, Searx, Google, Bing, Yahoo, Ecosia, Ask.com, Qwant

   👍 Pros:    Good search results|Not too many trackers|Not buggy|Easy to use

   👎 Cons:    Has 2 tracking url elements

Matplotlib Reviews

Brave Search mentions (344)

• Brave Search is the default search engine for AI agents -- not Google

  1. Check your site on Brave Search. Go to search.brave.com, search for your site name, your top articles, your product. Compare the results to Google. You might find articles that rank well on Google but are invisible on Brave -- or the reverse. When I first did this, I discovered several of my technical posts were completely absent from Brave's index despite ranking on the first page of Google. Different index,... - Source: dev.to / 3 months ago

• Preums, reminds me that coding without AI is magical

  That alone breaks the basic rule of TDD. And there are great tools like DuckDuckGo, Brave Search and StackOverflow to help us with our needs. - Source: dev.to / 6 months ago

• Google Removed 749M Anna's Archive URLs from Its Search Results

  Brave search is also quite nice: https://search.brave.com/ I find Google to generally have some of the worst search results of modern engines with one exception - Google tends to be good at digging up results from things like forums/message boards that don't end up getting listed on other search engines. I don't entirely understand why this is because other engines also have them indexed and work fine with... - Source: Hacker News / 8 months ago

• Google admits anti-competitive conduct involving Google Search in Australia

  Try https://www.startpage.com/, https://search.brave.com/, https://kagi.com/ or https://github.com/searxng/searxng. You.com used to have really good search, but it looks like they have veered off into the AI chat space instead. Searxng is a self hostable meta search engine that allows you to basically just use the best search engines and easily switch between them. - Source: Hacker News / 11 months ago

• Perplexity Makes Longshot $34.5B Offer for Chrome

  Https://search.brave.com Both Kagi and Perplexity are customers of Brave, btw. See https://brave.com/api or just ask if you have questions. Will answer what I can for anyone curious. - Source: Hacker News / 11 months ago

Matplotlib mentions (114)

• The soul file

  In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib — the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago

• How to Analyze CSV Files with Python and Pandas

  Numbers are useful, but sometimes it’s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago

• libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators

  We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago

• Building an AI Scoring Agent: Step-By-Step

  NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago

• Top 5 GitHub Repositories for Data Science in 2026

  The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A…. - Source: dev.to / 10 months ago