GanttPRO
Instagantt
Gantt
Trello
Wrike
Asana
Agantty
DHTMLX Suite
Python
Rust
JavaScript
Java
C++
Elixir
Haskell
Ruby
GanttPRO is project management software based on Gantt charts. It has an intuitive and visually appealing interface what makes it stand out among competitors. Besides, it comes with a robust set of features: - Advanced task management. - Progress tracking. - Different project views: a Gantt chart timeline, Board view, My tasks list, and more. - Resource management and workload. - Drag & drop dependencies. - Baselines. - Critical path, Auto scheduling. - Time log. - Team collaboration. - Export to PDF, PNG, Excel. - Import from Excel, MS Project. - Sharing via Public URL. - Project portfolio management. - And more.
GanttPRO PythonNo features have been listed yet.
Based on our record, Python seems to be a lot more popular than GanttPRO. While we know about 282 links to Python, we've tracked only 5 mentions of GanttPRO. 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.
GanttPRO: GanttPRO Official Website. - Source: dev.to / 13 days ago
Speaking of tools that help you to implement project portfolio management, despite the complexity of this approach, you don’t have to adopt a large set of applications. There are some solutions such as GanttPRO, for example, that help you both track specific projects and ensure they align with the global goals of your company. - Source: dev.to / over 1 year ago
Ganttpro.com is the best standalone timeline I have found for managing product development that also works on ipad. Source: over 1 year ago
GanttPro GanttPro is a software that helps freelancers to set goals, milestones, and plan projects. Unlike other kinds of work-management or productivity tools, this one has Gantt charts that show you how all tasks in a project contribute to the end results. The Gantt charts allow you to divide your projects into groups of tasks, subtasks, and milestones. Organize and schedule tasks, set due dates, durations, and... - Source: dev.to / over 2 years ago
To finish projects on time, efficient time management is a must. To help managers deal with deadlines, we usually implement a fully functional Gantt chart. To create a reliable and user-friendly UI, choosing the right set of tools is essential. In our work, we usually rely on Webix, a JavaScript UI library developed by the brightest minds of XB Software. Another ace up our sleeve is JavaScript UI libraries by... - Source: dev.to / over 2 years ago
Import aiohttp Import asyncio Async def fetch(session, url): async with session.get(url) as response: return await response.text() Async def main(): async with aiohttp.ClientSession() as session: html = await fetch(session, 'https://python.org') print(html) Asyncio.run(main()). - Source: dev.to / 17 days ago
Flat packages are the most common used packages, but distribution packages are more robust and can contain multiple flat packages. That's enough detail for this article but if you want to know more Armin Briegel of ScriptingOSX has a great book covering a lot of the details of these package types. I highly recommend picking up a copy for reference. One of the benefits of Distribution packages is that you can... - Source: dev.to / about 2 months ago
F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / 4 months ago
Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 6 months ago
Threading involves the execution of multiple threads (smaller units of a process) concurrently, enabling better resource utilization and improved responsiveness. Python‘s threading module facilitates the creation, synchronization, and communication between threads, offering a robust foundation for building concurrent applications. - Source: dev.to / 6 months ago
Instagantt - Instagantt is a powerful and intuitive Gantt chart tool to enable teams to plan, manage and visualize their projects easily. Manage your schedules, tasks, timelines, and workload like a Pro. Try it for free.
Rust - A safe, concurrent, practical language
Gantt - Create beautiful Gantt charts
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
