
GitKraken
SourceTree
GitHub Desktop
SmartGit
Tower
Fork
TortoiseGit
Git Extensions
Exploratory
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
htm.java
Figure Eight
GitKraken
ExploratoryExploratory is recommended for business analysts, data analysts, academic researchers, and any professionals who need to perform data analysis but may not have an extensive programming background. Its intuitive design makes it a good fit for users looking to conduct in-depth data exploration without needing to write extensive code.
Based on our record, Exploratory should be more popular than GitKraken. It has been mentiond 6 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.
I'll have to try this out. I'm currently a huge GitKraken[1] fan. [1] https://gitkraken.com. - Source: Hacker News / over 1 year ago
The Git CLI is terrifying and awful. It's far too easy to clobber your own work -- and that of others -- when the whole point of it was to prevent that. While you still need to really deeply understand several git concepts to use it, GitKraken[0] is the best GUI tool I've used in daily practice. It integrates well with git hosts and has an attractive and mostly comprehensible interface. Accordingly, it isn't free... - Source: Hacker News / over 3 years ago
I like GitKraken partially because it was originally loosely based on the look/feel of Guitar Hero. Source: over 4 years ago
This experience was also invaluable because I had a walking fountain of knowledge sitting next to me and was really cool about answering my questions and pointing out all code style errors in countless PR reviews. I cannot count the amount of times he had to explain me the whole rebase workflow. What really helped me improve my Git knowledge was GitKraken and other similar tools. - Source: dev.to / over 4 years ago
I'm a happy customer of https://exploratory.io/ - it's a very user-friendly interface on top of R and I think you might find it helpful. - Source: Hacker News / about 4 years ago
If the goal here is becoming productive quickly, try https://exploratory.io/ which is a sort of WYSIWYG environment for R that will still let you code by hand if needed. No affiliation, just a happy customer for 2 years. - Source: Hacker News / about 4 years ago
Give https://exploratory.io/ a look. It's free/cheap. It's a nice easy GUI wrapper for R and just works. I stumbled across it a year ago and now use it daily. - Source: Hacker News / over 4 years ago
I'm not associated with the company, but I have used their product extensively and recommended it before. Is there a reason people do not recommend Exploratory Desktop compared to something like Tableau? It is free for public use, and can do almost anything Tableau does but faster: https://exploratory.io/. Source: over 4 years ago
I've been using https://exploratory.io/ a lot, which is r in a really nice wrapper where you can do everything point and click, by writing code by hand or a mix. - Source: Hacker News / over 4 years ago
SourceTree - Mac and Windows client for Mercurial and Git.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
GitHub Desktop - GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
SmartGit - SmartGit is a front-end for the distributed version control system Git and runs on Windows, Mac OS...
NumPy - NumPy is the fundamental package for scientific computing with Python