TortoiseGit
SourceTree
SmartGit
GitKraken
GitHub Desktop
Git Extensions
Fork
Tower
Flourish
DataWrapper
Tableau
D3.js
Datamatic.io
Plotly
Microsoft Power BI
AECharts
TortoiseGit
FlourishFlourish might be a bit more popular than TortoiseGit. We know about 47 links to it since March 2021 and only 32 links to TortoiseGit. 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.
Sadly TortoiseGit[1] is only available for Windows :( git-cola[2] is a decent stand-in for TG's commit review window though. [1]: https://tortoisegit.org/ [2]: https://git-cola.github.io/. - Source: Hacker News / over 2 years ago
TortoiseGit Sourcetree Git kraken Some times you need to compare to files you can do this with the notpad++ compare plugin or with Meld. Source: about 3 years ago
Instead on my PC I use TortoiseGit. Most useful for the git log (as a graph), diff with previous versions,, filter files to commit by directory and ability to exclude files from the current commit, and most of all; ease of splitting a commit for each single file into parts by ability to "restore after commit" which allows you to edit a file before the commit and have it automatically restored to the pre-commit... Source: about 3 years ago
If running TeXStudio in Windows, my personal preference is to keep the automatic check-in disabled and to use the manual one (File -> SVN/git -> Check in); this allows an individual commit message with the briefer abstract line, empty line, and the longer report. Perhaps it is less exhaustive then a proper git client (in Windows e.g., tortoise), yet TeXStudio' GUI and integrated version control allows to resolve... Source: over 3 years ago
> We now have a large selection of tools that allow you to visualize what's going on (I use git-kraken), as well as google for help on doing something that isn't in muscle memory. Git Kraken is excellent, though Git has a page on various GUIs, many of which are free with no restrictions: https://git-scm.com/downloads/guis Personally, on Windows I like SourceTree: https://www.sourcetreeapp.com/ Some that have... - Source: Hacker News / over 3 years ago
When you transform datasets into line charts, heatmaps, or interactive dashboards, the audience has a visual anchor for your story. It helps viewers focus on what matters most, cutting down on information overload. Many tools, such as Flourish and AI-powered visualization platforms, now empower analysts to create these clear, relatable insights on demand. You can dig deeper into how visualizations turn complex... - Source: dev.to / 11 months ago
I have a racing bar graph of my top 20 artists from Jan 2020 to present. I got an account 12/16/19 but like to start my data at 1/1/20 because it's more of an even date (idk). Anyways I use flourish.studio and update it monthly and it's super fun to see my data move over time. Source: almost 3 years ago
Go with https://flourish.studio/ they are easy to feed and tons of option. Source: about 3 years ago
Building charts showing the market trends over time (currently use Flourish.studio) This is the most painful, time-consuming part of the process as I'm currently inputting data manually. If I raise funds, the first thing I will do is automate. Source: about 3 years ago
Maybe have a look at https://flourish.studio/ as they might be a potential competitor! Source: over 3 years ago
SourceTree - Mac and Windows client for Mercurial and Git.
DataWrapper - An open source tool helping anyone to create simple, correct and embeddable charts in minutes.
SmartGit - SmartGit is a front-end for the distributed version control system Git and runs on Windows, Mac OS...
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.
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.