Segment might be a bit more popular than Plotly. We know about 40 links to it since March 2021 and only 29 links to Plotly. 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.
Segment.com — Hub to translate and route events to other third-party services. 100,000 events/month free. - Source: dev.to / 4 months ago
Our app – Upollo – connects with your app event data (like Segment) and payment data (like Stripe) to analyze your users and instantly figure out if someone is an important player in your industry. We also help you convert more users, reduce churn, and expand single seats to teams within a company. We're SOC 2 certified and we take data security very seriously. Source: 6 months ago
Api.segment.io is an API for Twilio for data collection. Source: 6 months ago
Twilio Segment caters more to marketing and analytics use cases, offering a customer data platform (CDP) to manage customer data across various channels. Twilio Segment provides comprehensive customer data management by taking complex data from your applications, transforming it into a unified source, and subsequently linking it to various platforms. While its primary focus is on marketing, it can be integrated... - Source: dev.to / 9 months ago
I am working with our marketing team to implement segment.com into the rest of our technology stack. However I personally think that segment is EXTREMELY overpriced (at least for what we use it for). Source: about 1 year ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 6 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
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.
Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application