Python
JavaScript
Java
C++
Rust
Ruby
PHP
Elixir
BareMetrics
ChartMogul
ProfitWell
Baserow
Canny.io
ChurnBuster
RevenueCat
Chargebee
Python BareMetricsBareMetrics is recommended for startups, small to medium-sized enterprises, and established subscription-based businesses that utilize payment gateways like Stripe, Braintree, or PayPal. It's especially useful for companies seeking to gain better insights into their revenue streams and make data-driven decisions to enhance growth.
Based on our record, Python seems to be a lot more popular than BareMetrics. While we know about 299 links to Python, we've tracked only 2 mentions of BareMetrics. 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 / 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
One solution out there is https://baremetrics.com/ that can connect to your stripe account and get you some analytics from it. Not sure they have integrations with accounting software though. Source: over 4 years ago
Baremetrics (https://baremetrics.com/) does a really great job for subscription accounts and related revenue. Also, they have this awesome Academy section where they define each of the metrics and help you understand them better. Source: almost 5 years ago
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
ChartMogul - Master your recurring revenue. Advanced subscription analytics with one-click.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
ProfitWell - SaaS Metrics for Stripe. Absolutely Free.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
Baserow - Build databases, automations, apps & agents with AI โ self-hosted, open source, no-code
