Plot Digitizer
WebPlotDigitizer
DigitizeIt
GraphClick
g3data
Silkscientific UN-SCAN-IT
DataThief III
graph2table
Reddit
X (Twitter)
Facebook
YouTube
Google
Quora
Instagram
Hacker News
Plot Digitizer Redditi like reddit very much
Based on our record, Reddit seems to be a lot more popular than Plot Digitizer. While we know about 3301 links to Reddit, we've tracked only 3 mentions of Plot Digitizer. 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.
Data: The CDC data estimating national autism rates only shows data every other year since 2000 (https://www.cdc.gov/ncbddd/autism/data.html). I used California data from Nevison (2018) (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223814/ ) to show a longer-term historical trend. While it doesnโt completely match the national data during the overlapping years (and I wouldnโt expect it to), I have no reason to... Source: about 3 years ago
There are several, yes. Here is one, and here is anther, and here is a third. There is a detailed comparison here. Source: about 3 years ago
I found this... Something like what you have in mind? (not Foss) https://plotdigitizer.com/. - Source: Hacker News / 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 / 3 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 / 2 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 / 4 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 / 4 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
WebPlotDigitizer - WebPlotDigitizer - Web based tool to extract numerical data from plots, images and maps.
X (Twitter) - Connect with your friends and other fascinating people. Get in-the-moment updates on the things that interest you. And watch events unfold, in real time, from every angle.
DigitizeIt - Sometimes it is necessary to extract data values from graphs, e.g.
Facebook - Connect with friends, family and other people you know. Share photos and videos, send messages and get updates.
GraphClick - GraphClick is a graph digitizer shareware for Mac OS X which allows to automatically retrieve the original (x,y)-data from the image of a scanned graphor fom QuickTime movies.
YouTube - Our mission is to give everyone a voice and show them the world.
