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Opensource Builders
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Based on our record, Python seems to be a lot more popular than Opensource Builders. While we know about 299 links to Python, we've tracked only 5 mentions of Opensource Builders. 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.
You say you only use open-source and Iโm the same way but Iโve asked agents to evaluate open-source alternatives. How is that psychosis? If itโs typescript or JavaScript, I can read the code but if itโs Rust/Go/etc, yeah I get AI to read it and tell me if it can solve my problem or if it has the features I need. Itโs actually the whole premise of my open source alternative directory called Opensource Builders[0].... - Source: Hacker News / 1 day ago
If youโre open-source, I have a directory you can also submit your product on: https://opensource.builders. - Source: Hacker News / 18 days ago
There is also slant.co , https://opensource.builders/ and https://switching.software/ . Source: about 5 years ago
It needs to be here: https://opensource.builders/. Source: about 5 years ago
There is switching software and open source builders (but they might have a somewhat reduced scope). Source: over 5 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
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JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
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Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
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C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation