Adapty
RevenueCat
Qonversion
Apphud
ChartMogul
BareMetrics
Nami ML
appfigures
Python
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C++
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Elixir
Adapty is a one-stop service for growing mobile in-app subscriptions, including
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Based on our record, Python seems to be a lot more popular than Adapty. While we know about 299 links to Python, we've tracked only 16 mentions of Adapty. 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.
Adapty.io, established in 2019, headquartered in New York, is a relatively young company in the mobile app monetization space. Founded by Vitaly Davydov and Kirill Potekhin, it prioritizes making paywall creation and management accessible to developers with minimum coding knowledge. It has also secured $2.5 million in seed funding to fuel its growth and platform development, with notable investors like 500 Global... - Source: dev.to / over 1 year ago
I'm using adapty.io for analyzing my app's subscription revenue. You can set up a webhook and send subscription events to your backend or Slack. Source: about 3 years ago
You can use Adapty (https://adapty.io/). Source: about 3 years ago
Adapty (/u/adapty) is also pretty good, I've been looking into them over RevenueCat. Source: over 3 years ago
Adapty.io โ One-stop solution with open-source SDK for mobile in-app subscriptions integration to iOS, Android, React Native, Flutter, Unity, or web app. Free up to $10k monthly revenue. - Source: dev.to / over 3 years ago
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 / about 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 / about 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
RevenueCat - In-app subscriptions made easy
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Qonversion - The subscription data platform for mobile-first companies
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Apphud - Integrate, analyze and improve auto-renewable subscriptions in your iOS app.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
