
Which is more popular?
Based on our record, lazygit should be more popular than Plotly. It has been mentioned 121 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | plotly.com | github.com |
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What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
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.
Overall verdict
Why this product is good
Recommended for
Lazygit is recommended for developers and software engineers who frequently use Git for version control and prefer a terminal-based user interface. It's particularly useful for those who want a quick and efficient way to perform Git operations without leaving their terminal environment.
Walkthroughs and reviews on video.
Create Real-time Chart with Javascript | Plotly.js Tutorial
More videos
15 Lazygit Features In Under 15 Minutes
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Plotly and lazygit. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering...
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data...
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Recommendations tracked on public social media and blogs since March 2021.


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 / 6 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... - Source: dev.to / over 1 year ago
Lazygit[0] is ideal for quickly selecting files or lines you want to include in your commit. There are probably countless others. And `--patch` is also not that hard. [0] https://github.com/jesseduffield/lazygit. - Source: Hacker News / 5 days ago
I'm a big fan of https://github.com/MitMaro/git-interactive-rebase-tool on the terminal. I also use git absorb (https://github.com/tummychow/git-absorb) and lazygit a lot (https://github.com/jesseduffield/lazygit). - Source: Hacker News / about 2 months ago
Navi is good for generating personal cheatsheets: https://github.com/denisidoro/navi But for Git, I can't recommend lazygit enough. It's an incredible piece of software: https://github.com/jesseduffield/lazygit. - Source: Hacker News / 5 months ago
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