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Elixir
Hatica
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Teamplify
Hatica equips engineering teams with work visibility dashboards, actionable insights and effective workflows to drive team productivity and engagement in remote and in-office environments alike. Free forever plans to help you get started quickly.
Features: Engineering metrics dashboards 100+ metrics from 20+ apps including Github, Jira, Slack, Zoom, Google Workplace Remote work insights Aggregated work overview, sprint and retro dashboards DORA metrics, CI/CD performance insights and code review analytics Collaboration analytics Team Goals based on dev metrics Async stand-ups and developer check-ins via Slack and Email Code quality metrics Automated Code reviews
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Till we started using Hatica, most managers had 10s of tabs open, sifted through each one, and had to piece together work to get a picture of whatโs happening at work. With Hatica, these tabs are gone, and is replaced with one app! Especially the activity dashboards that show all activity along with check-ins from our team. Practically solved all our needs!
This is a young product with ambitious plans to become a comprehensive engineering metrics platform. This means, we can expect great surprises and some room for improvement.
The founders vision is clear and it shows in every release of the product. Plus, with such frequent feature releases, they might just achieve their vision! Responsive founders make the process of reporting bugs and requesting features a breeze and actually see it implemented in the app in a blazing fast turnaround time
Hatica provides all inputs needed for an engineering team! From gauging whether work load is balanced, to understanding peopleโs actual work hours, to finally looking at code churn - Hatica provides all of these in one place! Would love to see a TV mode so that we can present these dashboards in our workforce planning meetings.
Based on our record, Python seems to be more popular. It has been mentiond 299 times since March 2021. 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 / 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 / 4 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
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.
