Amplitude might be a bit more popular than Plotly. We know about 38 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.
Amplitude.com — 1 million monthly events, up to 2 apps. - Source: dev.to / 3 months ago
* [Amplitude](https://amplitude.com/) Would like to know what you use for your startup and what you like/dislike in these tools today. - Source: Hacker News / 10 months ago
Context | London, UK | Full-time | Onsite | https://getcontext.ai | B2B SaaS We’re building the analytics stack for generative AI text interfaces: think [Amplitude](https://amplitude.com/) for ChatGPT. Thousands of businesses are building new products and features using LLMs, and they need a new analytics stack to help them understand user behaviour and build great product experiences. Check out our product demo... - Source: Hacker News / 10 months ago
I think you might have the term of art wrong - it sounds like you're looking for a charting library, rather than an analytics tool? (most folks assume analytics in the sense of product analytics, like https://plausible.io/ or https://amplitude.com/). - Source: Hacker News / 11 months ago
But how can you be sure you’re making the right changes? It’s impossible to read your clients’ minds, but A/B testing might just be the next best thing. In this article, I’ll guide you through conducting an A/B test on an Android (Kotlin) application using ConfigCat’s feature flag management system and Amplitude. - Source: dev.to / 11 months ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 12 months 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: 12 months 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
Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.
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.
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.
Chart.js - Easy, object oriented client side graphs for designers and developers.
KISSmetrics - Giving you the knowledge you need to make better decisions. Kissmetrics is a revolutionary person-based analytics platform for your whole team. Get product, sales, marketing, customer support working together to improve the metrics that matter.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application