Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
TablePlus
DBeaver
DataGrip
Navicat
DbVisualizer
Beekeeper Studio
phpMyAdmin
Sequel Pro
Plotly
TablePlusPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
Based on our record, TablePlus should be more popular than Plotly. It has been mentiond 67 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.
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
TablePlus is a polished native database client known for speed, clean design, and direct data editing. It supports relational databases such as MySQL, PostgreSQL, SQLite, and others, with apps across macOS, Windows, Linux, and iOS. - Source: dev.to / about 1 month ago
Best part? Itโs standard Postgres. Any tool that speaks Postgres can connect, TablePlus, Retool, Cloudflare Hyperdrive, pgAdmin, even other ORMs. - Source: dev.to / 8 months ago
If you want something sleeker than DBeaver, TablePlus is a beautiful database client. Its free tier is limited but plenty for small dev projects. - Source: dev.to / 11 months ago
For simpler use-cases I've used both https://dataflare.app/ and https://tableplus.com/ with success. They are much quicker and lighter to start-up, browse some tables and run some queries. - Source: Hacker News / about 1 year ago
Things I use and have Black Friday - * https://tableplus.com/. - Source: Hacker News / over 1 year ago
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.
DBeaver - DBeaver - Universal Database Manager and SQL Client.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
DataGrip - Tool for SQL and databases
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.
Navicat - Powerful database management & design tool for Win, Mac & Linux. With intuitive GUI, user manages MySQL, MariaDB, SQL Server, SQLite, Oracle & PostgreSQL DB easily.