Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Metriport
Docus.ai
Rita Personal Data
Hecco AI
SelectStar
Vedex
Katonic MLOps Platform
Proxy Manager for Google Chrome
Matplotlib MetriportBased on our record, Matplotlib should be more popular than Metriport. It has been mentiond 114 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 / 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 / 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 / 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
โข Cronometer With these initial integrations, we plan to add many more to this list, including Garmin, Apple Health, and Google Fit in the near term. We work very closely with our customers, so if thereโs an integration you need thatโs not currently on roadmap, weโre more than happy to add it and build it into our API. Because weโre also open-source, developers can fork our code and build their own custom... - Source: Hacker News / over 3 years ago
As some of you may have already saw, over the summer we made the difficult decision to pivot our business, and go after a similar problem in the healthcare space, with the main goal to make healthcare data more accessible. For those interested in finding out more about this, you can check out this recent write up about us, or check out our newly revamped website. Source: over 3 years ago
Sweet, feel free to check it out here and let us know what you think :). Source: about 4 years ago
My friend and I are both Apple Watch owners and we made an app this year to get better insights into our data, but now we're looking at other wearables out there to see what else is possible in terms of unique data and insights. Curious to see hear from those in this community of why they chose to go with Whoop! Source: about 4 years ago
5 months ago, we made a post here telling the story of what we learned from quitting our jobs to build and release Metriport from scratch in 11 weeks. We wanted to follow up since that post, as a lot has happened since then, including getting featured on TechCrunch and more recently getting accepted into Y Combinator's S22 batch of startups. Source: about 4 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Docus.ai - Upload health records, consult both AI & Top Human Doctors
NumPy - NumPy is the fundamental package for scientific computing with Python
Rita Personal Data - Collect, view and control your data
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
Hecco AI - Your personal health intelligence engine
