
Axolo
Spoke.ai
ClearFeed
Axolo for GitLab
PullNotifier
Slackmin
CodeRabbit
Graphite
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Axolo
PlotlyPlotly 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, Plotly should be more popular than Axolo. It has been mentiond 34 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.
After a few years of helping developers review code, I came up with 10 code smells and how to fix them while building my project Axolo. - Source: dev.to / over 2 years ago
Between the PR creation until itโs merged, the majority of the time, nothing will happen. We wait for the next step to happen. Unfortunately, that idle time hurts the delivery time (the lead time for changes). While they wait for a review, developers will be tempted to start another task, leading to context-switching. Practicing mob programming can prevent such latencies. Also, a solution like Axolo offers a Slack... - Source: dev.to / about 3 years ago
Comments: We are launching a free side project to create awareness for our main service (https://axolo.co). Source: over 3 years ago
Looks really nice! Also I love the level of personality on the marketing page, it's nice to see a product not taking itself too seriously. Just curious, this seems to have a lot of overlap with Axolo (https://axolo.co/) and I always love chatting to new people in this space. Email in my bio if you want to say hi! - Source: Hacker News / over 3 years ago
Disclaimer: I built one of the tool with a friend (https://axolo.co), but even if it is not for you I hope the two others possibilites might help your team! Source: over 3 years ago
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
Spoke.ai - Spoke is the Priority Inbox for Builders. Reduce information overload, prioritize your work, get instant context and level up core workflows with AI.
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.
ClearFeed - ClearFeed is a conversational Support platform for Slack and MS Teams
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Axolo for GitLab - Review merge requests faster.
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.