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Phalcon is recommended for experienced PHP developers who are looking to build high-performance web applications and are comfortable working with a framework implemented at the C level. It is particularly suitable for applications where speed and resource utilization are critical factors.
Based on our record, Reddit seems to be a lot more popular than Phalcon. While we know about 3301 links to Reddit, we've tracked only 7 mentions of Phalcon. 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.
Phalcon is open-source with 10.7k stars and 2k+ forks on GitHub. It is a full-stack framework for PHP that is characterized by high performance and low resource consumption. It is written or implemented as a C-extension or in C, which is integrated into PHP to improve performance. It has a user-friendly interface that simplifies PHP development and enhances the developer experience. - Source: dev.to / over 2 years ago
There's also one more player in the scope, but, I don't know how much jobs can You find with. It is called Phalcon framework. It is delivered as C extension and really, in terms of performance, no other thing can compare with, as it is loaded together with PHP it self. Once installed, You just use it. There are few similar like Phalcon, but Phalcon is already well known and has its community and support. -... Source: over 3 years ago
People should give Phalcon a try. - https://phalcon.io/en-us. Source: over 3 years ago
Not the lightest, but one of (if not) the fastest. - https://phalcon.io/en-us. Source: over 3 years ago
How about reconsider additional option 5 ? Something like this -> https://phalcon.io/en-us. Source: over 3 years ago
From urllib.parse import urlparse Def normalize_gh(r): return { "title": r["name"], "url": r["url"], "source": "github", "score": r["stars_this_period"], "desc": r.get("description", ""), "date": r["trending_date"], "lang": r.get("language"), } Def normalize_hn(p): return { "title": p["title"].replace("Show HN: ", ""), "url":... - Source: dev.to / 5 months ago
@tool Def search_reddit(keywords: str, max_results: int = 20) -> list[dict]: """Fallback: search Reddit directly via PRAW.""" reddit = praw.Reddit( client_id=os.environ["REDDIT_CLIENT_ID"], client_secret=os.environ["REDDIT_CLIENT_SECRET"], user_agent="doug-agent/1.0", ) candidates = [] for submission in reddit.subreddit("all").search(keywords, sort="new",... - Source: dev.to / 4 months ago
Import requests Import time Def fetch_subreddit_posts(subreddit, sort="hot", limit=25): url = f"https://www.reddit.com/r/{subreddit}/{sort}.json" params = { "limit": limit, "raw_json": 1, # Prevents HTML encoding in responses } headers = { "User-Agent": "PythonScraper/1.0 (research project)" } response = requests.get(url, params=params, headers=headers) if... - Source: dev.to / 5 months ago
From sessionkeeper import SessionKeeper Async with SessionKeeper("reddit") as sk: page = await sk.get_authenticated_page("https://reddit.com") # You're logged in. Do your automation. await page.goto("https://reddit.com/r/blender/submit"). - Source: dev.to / 6 months ago
It's completely free, and takes just moments to set up - you just need to create an account, and set up keywords for the service to track. When your keywords are mentioned on Reddit, Hackernews, or Lobste.rs, you'll get a tidy little email in your inbox. - Source: dev.to / over 1 year ago
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