Pawformance.app
PetDesk
Pawprint
Maeve by Barkibu
Pawtrack App
Puppr
Petnostics
Dogo
Python
JavaScript
Java
C++
Rust
Ruby
PHP
Elixir
Pawformance is a dog training progress tracker and pet health management tool for dog owners and professional trainers. It replaces paper logs and spreadsheets with structured session tracking, data-driven progress charts, video comparison tools, and multi-dog profile management. The app is built for dog owners who want measurable evidence of training improvement and for professionals who need to track and report on multiple dogs. An AI pet care assistant (Buddy) personalizes answers based on each dog's breed, age, and health history. Pawformance is free for one dog; the premium plan unlocks multi-dog management and expanded AI access.
Pawformance.app PythonNo Pawformance.app videos yet. You could help us improve this page by suggesting one.
Based on our record, Python seems to be more popular. It has been mentiond 299 times since March 2021. 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.
137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 2 months ago
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
PetDesk - Client communication for veterinary practices & pet groomers
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
Maeve by Barkibu - Monitor your pet's health with AI ๐
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
