Based on our record, Matplotlib should be more popular than Zapier. It has been mentiond 101 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.
Use Tools: Employ tools like Jenkins for CI/CD, or Zapier for workflow automation. - Source: dev.to / 12 days ago
Indeed, zapier already has this [0] 0 - https://zapier.com/#:~:text=Start%20a%20workflow%20as%20fast%20as%20you%20can%20type. - Source: Hacker News / 3 months ago
There is some overlap here into the “no-code” or “low-code” world, as sometimes the same teams will hook tools like Zapier up to the BaaS in order to integrate with third parties. For small projects this can lead to superhuman productivity! But over a certain line it can become a mess of complexity where it’s hard to track down where data lives and where it is mutated. - Source: dev.to / 5 months ago
I submitted an application for w24 that fits in the "Developer tools inspired by existing internal tools" category but wasn't accepted. I suspect my pitch probably needed work, and I also haven't started building at all yet and submitted as a solo-founder which it seems has less chance of being accepted. Here's the pitch and some details, in case anyone else is interested in the idea: > Supportal uses AI to... - Source: Hacker News / 5 months ago
Zapier.com — Connect the apps you use to automate tasks. Five zaps every 15 minutes and 100 tasks/month. - Source: dev.to / 5 months ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 17 days ago
Python (with Matplotlib): A powerful library for creating detailed histograms. - Source: dev.to / 20 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago
Matplotlib: for displaying our image result. - Source: dev.to / 3 months ago
Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 4 months ago
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Make.com - Tool for workflow automation (Former Integromat)
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
n8n.io - Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.