Grist VS Python
Compare Grist VS Python and see what are their differences
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
featured
Grist
Airtable
Rows
Baserow
Stein
Google Sheets
NocoDB
Microsoft Office Excel
Python
JavaScript
Java
C++
Rust
Ruby
PHP
Elixir
Grist PythonBased on our record, Python seems to be a lot more popular than Grist. While we know about 299 links to Python, we've tracked only 9 mentions of Grist. 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.
Grist Labs | Systems Engineer | Full-time | NYC OR REMOTE +/- 3hrs | https://getgrist.com We're looking for someone to make our modern spreadsheet software run everywhere. To apply, there's a puzzle. Just do:. - Source: Hacker News / over 2 years ago
[Baserow], [APITable], [Grist], and [Rowy] are all open source Airtable alternatives which offer hosted SaaS versions that include API access, though it's a bit difficult to compare the API rate limits across all these products. Self-hosting an app like this would allow you to bypass API rate limits altogether, if you're open to it. All the above products can be self-hosted โ and you might want to look at [NocoDB]... - Source: Hacker News / about 3 years ago
There's also Grist (https://getgrist.com) - SQLite based with Excel-like formulae in Python. - Source: Hacker News / over 3 years ago
The only things I have found are Baserow which is basically the best one I've found so far, but it doesn't allow search between columns, importing columns from other tables and I can't restrict users from editing and perhaps corrupting the data. NocoDB doesn't import CSVs and seems to be buggy for some reason. Grist allows restriction for people but it does not have as good filters as Baserow and I can't save my... Source: about 4 years ago
Phenomenal capabilities exceed Excel, Google Sheets, Airtable. Allows app-like views on spreadsheet data, with drag-n-drop configuration. Supports Python-based formulas with familiar Excel functions. Access rules allow sharing a single row or any subset of data. Open-source, and can be self-hosted. https://getgrist.com. Source: 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 / 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
Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Rows - The spreadsheet where teams work faster
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Baserow - Build databases, automations, apps & agents with AI โ self-hosted, open source, no-code
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
