Arize Phoenix is an open-source observability library for AI experimentation, evaluation, and troubleshooting, built by Arize AI.
Hex introduces Advanced Compute Profiles for demanding workflows, offering more CPU, RAM, and GPUs. It also features Explore, a fast, flexible no-code data analysis tool. Hex emphasizes collaboration, AI integration, and a wide range of use cases including data science, operational reporting, and self-serve data tools.
Visualize your git commits with a heat map in the terminal.
This article introduces Streamlit, a Python library for building data dashboards, as a solution for Python programmers to create graphical front-ends without needing to delve into CSS, HTML, or JavaScript. The author, a seasoned data engineer, explains how Streamlit and similar tools enable the creation of attractive dashboards, marking a shift from traditional tools like Tableau or Quicksight. This piece serves as the first in a series focusing on Streamlit, with future articles planned on Gradio and Taipy. The author aims to replicate similar layouts and functionalities across dashboards using consistent data.
An exploration of AG Grid, a JavaScript data grid library used to build interactive and advanced data tables or grids in web applications, highlighting its features, performance, and how it compares to other solutions.
PySpecSDR is a Python-based Software Defined Radio (SDR) spectrum analyzer with real-time visualization, demodulation, and signal analysis capabilities.
A tutorial on creating a scatterplot using text instead of dots, focusing on simplicity and quick reference.
A guide on how to use OpenAI embeddings and clustering techniques to analyze survey data and extract meaningful topics and actionable insights from the responses.
The process involves transforming textual survey responses into embeddings, grouping similar responses through clustering, and then identifying key themes or topics to aid in business improvement.
The process involves transforming textual survey responses into embeddings, grouping similar responses through clustering, and then identifying key themes or topics to aid in business improvement.
