
Tower
GitKraken
SourceTree
GitHub Desktop
SmartGit
TortoiseGit
Git Extensions
Fork
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
Recent releases have added some genuinely useful features. AI Commits let you generate commit messages and descriptions with one click, right from the commit area โ handy for when writing a good commit message is the last thing you feel like doing. Automatic Branch Archiving takes care of housekeeping by detecting stale or fully merged branches and archiving them for you, so your sidebar doesn't fill up with clutter over time.
For teams with their own conventions, Custom Git Workflows let you define a branching model from scratch โ trunk/topic branches, prefixes, merge strategies โ or start from templates like git-flow or GitHub Flow, with one-click "Start/Finish Feature" actions to guide you through it. Tower also has Graphite Integration built in, covering stack creation, restacking, PR submission, and merge queue support without leaving the app.
Two more additions support more advanced setups: Worktree Support, for checking out and working on multiple branches at once, and Stacked Branches, which track parent-child relationships between branches so you can work with stacked pull requests and restack a whole chain with a single action.
Rounding things out, Commit Templates let teams reuse commit message formats across a repository, with quick keyboard access when you need one.
Tower
PlotlyTower is recommended for software developers and teams who need a robust and efficient graphical interface for Git. It's particularly useful for those who prefer a visual alternative to command-line Git management, as well as for development teams looking for a collaborative environment that integrates well with other tools in their workflow.
Plotly 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 seems to be more popular. 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.
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
GitKraken - The intuitive, fast, and beautiful cross-platform Git client.
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.
SourceTree - Mac and Windows client for Mercurial and Git.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
GitHub Desktop - GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.
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.