
PawsMatch
Doggy Door
Pawprint
Petigo
Python
JavaScript
Java
C++
Rust
Ruby
PHP
Elixir
PawsMatch is a comprehensive pet community and care platform built for pet owners, caregivers, and animal lovers. It combines pet profiles, health management tools, social connection features, and adoption support into one easy-to-use web app designed to streamline everyday pet care and build a community around shared love for animals.
PawsMatch
PythonNo features have been listed yet.
PawsMatch's answer
Unlike single-purpose pet apps, PawsMatch connects social sharing, health records, and adoption support in one platform. It focuses on long-term pet care, transparency, and meaningful connectionsโnot just posting photos.
PawsMatch's answer
PawsMatch is built as a pet-first digital ecosystem, not just a social app for owners. It combines pet profiles, health tracking, vet logs, and rescue storytelling in one placeโdesigned to feel like a social world for pets themselves.
PawsMatch's answer
PawsMatch was created from the need for a central, pet-focused space where pets are treated as individualsโnot accessories. The goal is to support pets throughout their entire journey, from rescue or adoption to lifelong care.
PawsMatch's answer
PawsMatch is for modern pet parents, animal rescuers, shelters, and veterinarians who want an organized, social, and compassionate way to manage pet lives, health histories, and adoption journeys.
PawsMatch's answer
PawsMatch is built using modern web technologies, including:
-React / Next.js -Node.js -Cloud-based databases and storage -API-driven architecture -Scalable hosting infrastructure
PawsMatch's answer
-Independent pet owners -Animal rescue organizations -Shelters and foster groups -Veterinary clinics (early access / partnerships) -Pet-focused communities and advocates
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For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 2 months ago
Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 3 months ago
**_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โSave this dataโ - โGet this dataโ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
Doggy Door - Track your pets activity
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Pawprint - Your pet's most important data in one place
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Petigo - Connecting pet lovers everywhere!
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation