Marple is a data analysis platform focused on time series visualisation for engineering teams. Marple is a server product in which users can organise, find, visualise and analyse their test and measurement data in a blink of an eye.
Based on our record, Plotly should be more popular than Marple. It has been mentiond 29 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.
Hi HN! Marple here, we wanted to showcase a new feature on [http://marpledata.com](http://marpledata.com/). We do telemetry visualisations (enormous datasets @ high frequencies-friendly), as well as being able to analyse across datasets using a Data Miner (customisable metrics and filters-friendly) As things progress in the R&D cycle, it's time to test! Introducing the Automated Reporter. Select a folder (either... - Source: Hacker News / 10 months ago
Visualised with Marple: http://marpledata.com/. Source: about 1 year ago
We're Marple! We're helping engineers by building data visualisation and data management tools. Source: over 2 years 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: 11 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
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
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.
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
Chart.js - Easy, object oriented client side graphs for designers and developers.
Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application