Tower
GitKraken
SourceTree
GitHub Desktop
SmartGit
TortoiseGit
Git Extensions
Fork
Mockaroo
Generate Data
Beeceptor
Tonic AI
Fake Data
ExtendsClass JSON Generator
Smock-it
DataConstruct
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 MockarooTower 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.
Based on our record, Mockaroo seems to be more popular. It has been mentiond 27 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.
If you give it the rules to generate something, why can't it generate it? That's what something like Mockaroo[0] does. It's just more formal. That's pretty much what LLM training does, extracting patterns from a huge corpus of text. Then it goes one to generate according to the patterns. It can not generate a new pattern that is not a combination of the previous one. [0]: https://mockaroo.com/. - Source: Hacker News / about 1 year ago
A quick way to test this out is to use a tool like Mockaroo to generate some test data and then have a Glue Crawler analyse the data in S3 and create the required data catalog entries. - Source: dev.to / over 2 years ago
Mockaroo โ Mockaroo lets you generate realistic test data in CSV, JSON, SQL, and Excel formats. You can also create mocks for back-end API. - Source: dev.to / over 2 years ago
I generated some test data to load into Snowflake using Mockaroo. - Source: dev.to / over 2 years ago
So head to Mockaroo, and configure the data model fields to match that of the class you created earlier, for me, it looks like this:. - Source: dev.to / almost 3 years ago
GitKraken - The intuitive, fast, and beautiful cross-platform Git client.
Generate Data - GenerateData.com: free, GNU-licensed, random custom data generator for testing software
SourceTree - Mac and Windows client for Mercurial and Git.
Beeceptor - Unblock yourself from API dependencies, and build & integrate with APIs fast. Beeceptor helps you build a mock Rest API in a few seconds.
GitHub Desktop - GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.
Tonic AI - The fake data company
