Teamplify
Waydev
Gitential
Hatica
LinearB
Haystack Analytics
Swarmia
devActivity
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Teamplify is a productivity tool for software development teams. Know your team's pulse with Team Analytics. Save precious meeting time with Smart Daily Standup. Always know how long tasks take with Effortless Time Tracking. Plan ahead with Time off in mind, thanks to built-in Time Off management.
Works with your existing team tools - GitHub, Jira, Slack, Zoom, Google, and others - 12 integrations included.
Teamplify MatplotlibNo Teamplify videos yet. You could help us improve this page by suggesting one.
Based on our record, Matplotlib seems to be a lot more popular than Teamplify. While we know about 114 links to Matplotlib, we've tracked only 4 mentions of Teamplify. 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.
Ideally, the frontend app should somehow receive a signal that a new version is available. After receiving such a signal, it can reload itself automatically so that users don't have to do anything and can continue to work normally. This idea can be implemented in various ways. Let's see a concrete example of how we did it in one of our projects, Teamplify:. - Source: dev.to / over 1 year ago
Teamplify - improve team development processes with Team Analytics and Smart Daily Standup. Includes full-featured Time Off management for remote-first teams. Free for small groups of up to 5 users. - Source: dev.to / over 2 years ago
Effortless Time Tracking is available on all Teamplify plans, including the Free plan. You can see how long tasks take in Team Analytics and also in Smart Daily Standup (for current tasks in progress). Give it a try โ get started today! - Source: dev.to / over 3 years ago
Took it from here: https://teamplify.com/. Source: over 4 years ago
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 / 4 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 / 7 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 / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 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 / 10 months ago
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Gitential - Analytics for Git Repositories
NumPy - NumPy is the fundamental package for scientific computing with Python
Hatica - Engineering Analytics to boost developer productivity
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.