Simple Analytics VS Python
Compare Simple Analytics VS Python and see what are their differences
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Simple Analytics
Plausible.io
Fathom Analytics
Google Analytics
Matomo
Pirsch Analytics
umami
Clicky
Python
JavaScript
Java
C++
Rust
Ruby
PHP
Elixir
Simple Analytics gives you insights into the performance of your website without ever collecting personal data, with a clean interface, and simple integration. GDPR, CCPA and, PECR compliant because we don't handle personal data and set no cookies.
Simple Analytics PythonSimple Analytics is recommended for small to medium-sized businesses, bloggers, and website owners who need straightforward analytics and value privacy. Itโs particularly suitable for those looking to comply with privacy regulations without compromising on user data protection.
Based on our record, Python seems to be a lot more popular than Simple Analytics. While we know about 299 links to Python, we've tracked only 26 mentions of Simple Analytics. 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.
Multiple analytics options including Umami, Plausible, Simple Analytics, Posthog and Google Analytics. - Source: dev.to / over 1 year ago
Simple Analytics - Simple, clean, and friendly analytics. - Source: dev.to / almost 2 years ago
SaasRock does not intend to invent the wheel, there are great analytics solutions out there, both free and powerful. But SaasRockโs main goal is to have everything you need when building SaaS applications, at least in a minimal way. - Source: dev.to / almost 4 years ago
Regarding forbidden countries, itโs not forbidden in the Netherlands, yet. They will announce a verdict in a form of a report by the end of 2022 [1]. To give people an option and pink something else over Google Analytics, I have built an alternative, Simple Analytics [2]. It doesnโt use cookies or any form of tracking and you get still the useful data that 80% of the website owners need. [1]... - Source: Hacker News / about 4 years ago
It is. Most startups in the EU have to use more and more businesses in the EU. The selection is little, so way more changes to succeed if your EU based and serve both markets. I run Simple Analytics [1], which is a privacy-first analytics business from the Netherlands. I see a lot of business from the EU just because we are from the EU as well. [1] https://simpleanalytics.com/?ref=hn. - Source: Hacker News / about 4 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 / 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
Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure ๐ช๐บ
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Fathom Analytics - Simple, trustworthy website analytics (finally)
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
