Akismet VS GitHub
Compare Akismet VS GitHub and see what are their differences
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
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Akismet GitHubAkismet is recommended for bloggers, website owners, and online businesses that require a reliable method to combat spam and keep their sites clean and functional. It's particularly beneficial for sites that use interactive features like comments and contact forms.
Based on our record, GitHub seems to be a lot more popular than Akismet. While we know about 2466 links to GitHub, we've tracked only 12 mentions of Akismet. 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.
Stomod now supports a native built-in commenting feature, allowing fully threaded conversations on your blog posts. Plus, it includes support for Akismet spam detection to keep those pesky spammers at bay. - Source: dev.to / over 1 year ago
In this article, I'll show you how to add a spam detection service to your Statamic forms and reject any submissions that are deemed to be spam. I'll be using Akismet for this example, but you can use any spam detection service you'd like. - Source: dev.to / over 2 years ago
Anyone out there using solutions like this and can offer any feedback? https://akismet.com/. - Source: Hacker News / over 2 years ago
Use some service (e.g. Something like Akismet) to predict whether a user is spam or not. Source: about 3 years ago
Django-contact-form uses the akismet dependency, which in turn uses the Wordpress Akismet spam-detection service. See the AkismetContactForm class and its documentation to study its implementation. It is pretty straight forward and mainly requires an API key, which is free for personal use. Source: over 4 years ago
// ==UserScript== // @name GitHub -> Obsidian Task // @namespace obsidian // @version 1.0 // @match https://github.com/*/*/issues/* // @match https://github.com/*/*/pull/* // @grant GM_setClipboard // ==/UserScript== (function () { 'use strict'; function getTitle() { return document.querySelector("bdi")?.textContent.trim(); } function copyTask() { ... - Source: dev.to / about 5 hours ago
Import requests From bs4 import BeautifulSoup From datetime import datetime Def fetch_github_trending(): url = "https://github.com/trending?since=daily" response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') repos = [] for article in soup.select('article.Box-row'): repo_link = article.select_one('h2 a')['href'] stars_today =... - Source: dev.to / 1 day ago
Git clone https://github.com//.git /opt/app Cd /opt/app Docker build -t app . Docker run -d --name app --restart unless-stopped -p 8080:8080 app. - Source: dev.to / 5 days ago
The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / 9 days ago
This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 10 days ago
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