Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
monday.com
Asana
ClickUp
Basecamp
Wrike
Smartsheet
Trello
Teamwork
monday.com, an award-winning project management tool, helps teams plan together efficiently and execute projects that deliver results on time. Its ease of use and flexibility means fast onboarding for your team and the ability to manage your work your way. With powerful productivity features such as time tracking, automated notifications, customizable workflows, dependencies, timeline views and integrations, your team can achieve better and faster results for every project milestone.
Matplotlib monday.comUsed monday.com for a while and while the interface is nice, I eventually found it a bit too overwhelming and expensive as projects grew.
Monday is easy to use and helps organize tasks and projects effectively. It's a useful tool for team collaboration.
We had a great experience using Monday.com. From task and project management to managing resources, this powerful tool is packed with many flexible features. The clean user interface saves us from hosh posh, allowing us to track teams, share files, and collaborate effectively. It's good for small businesses, but can be difficult to track for larger teams.
Based on our record, monday.com should be more popular than Matplotlib. It has been mentiond 338 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.
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 5 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 8 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 9 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 10 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 11 months ago
Monday.com combines automation with AI planning to streamline project operations. - Source: dev.to / 12 months ago
17. Monday.com (Paid) Monday.com is a versatile work operating system that includes robust project and defect management features. It is ideal for teams seeking a highly customizable platform. - Source: dev.to / over 1 year ago
Project Management: AI-driven project management tools like Jira and Monday.com help in tracking progress, managing tasks, and predicting project timelines. - Source: dev.to / almost 2 years ago
Some tools that I would use to stay organized include Jira, monday.com, Notion, or Trello. Each has its own advantages. Personally, I use monday dev. It lets you keep track of all your projects and tasks in one place and collaborate with your team in real time. - Source: dev.to / over 2 years ago
With the newer, online work management tools that have project management features (ClickUp, Monday.com, etc.), several have free versions and you have the ability to create a custom field that you can use for the assignee, ignoring the built-in field that requires a licensed user or guest. Source: over 2 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.
NumPy - NumPy is the fundamental package for scientific computing with Python
ClickUp - ClickUp's #1 rated productivity software is making more productive projects with a beautifully designed and intuitive platform.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
Basecamp - A simple and elegant project management system.