GitHub Hovercard
Refined GitHub
GitZip
Enhanced GitHub
Board for Github
GitHub Folder Downloader
DownGit
Octo Mate
JASP
jamovi
Statista
Montecarlito
datarobot
IBM ILOG CPLEX Optimization Studio
BlueSky Statistics
Displayr
JASP works very similarly to jamovi. That's not a coincidence, as some JASP developers split off to create jamovi. You can open a single dataset and use the most popular statistics and machine learning methods. But if you have multiple datasets to merge, you must do that in another tool. Also, the dataset must maintain a single structure throughout your analyses. Restructuring or transposing is not allowed. It is commonly said that data scientists spend 80% of their time wrangling data like that, so that's a significant limitation for general use. However, those simplifications make JASP a good choice for teaching. Another advantage for teaching is that the menus are very sparse, but you can add to them easily by downloading additional modules. That's the opposite of similar software such as BlueSky Statistics, SPSS, or Minitab, which install all features at once. If you're looking for free and open-source software, JASP and jamovi are best for teaching while BlueSky Statistics is best for general-purpose analysis.
Based on our record, JASP seems to be a lot more popular than GitHub Hovercard. While we know about 15 links to JASP, we've tracked only 1 mention of GitHub Hovercard. 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.
GitHub Hovercard brings you instant access to quick information about the user, repo, issues, commits, and pull requests information from anywhere on GitHub. - Source: dev.to / over 4 years ago
For anyone looking for a quick and hands-on dive into the world of Bayesian modelling and inference, I can't recommend JASP enough, made freely available by the University of Amsterdam[0]. I've recommended it before, and it's just a breeze to work with, seeing frequentist and Bayesian analyses side-by-side. [0]: https://jasp-stats.org/. - Source: Hacker News / over 1 year ago
Anyone looking to apply and compare frequentist and bayesian methods within a unified GUI (which is essentially an elegant wrapper to R and selected/custom statistical packages), should check out JASP developed by the University of Amsterdam [0]. It's free to use, and the graphs + captions generated on each step are of publication quality out of the box. Using it truly feels like a 'fresh way' to do... - Source: Hacker News / almost 3 years ago
Https://jasp-stats.org fully free. Its advisible to learn python, R or matlab for graduate school. Source: about 3 years ago
Also for alternative software that are much easier to use take a look at JASP or jamovi (both are very similar); and as a bonus, neither of these two will require you to manually add product variables to your dataset. Source: about 3 years ago
If you have no access to SPSS (or SAS, or JMP), then look into JASP (https://jasp-stats.org/). I've only just touched that. One thing I believe is that JASP (as well as JMP) will allow/block off tests and analyses depending on the nature of each column. This means that, for example, if you have groups A, ..., Z, the software will treat those as non-numbers, which can only be used as inputs for variables which... Source: over 3 years ago
Refined GitHub - Browser extension that makes GitHub cleaner & more powerful
jamovi - jamovi is a free and open statistical platform which is intuitive to use, and can provide the...
GitZip - Download or create a download link for a GitHub project folder/sub-folder or file.
Statista - The Statistics Portal for Market Data, Market Research and Market Studies
Enhanced GitHub - :rocket: Chrome extension to display size of each file, download link and copy file contents directly to clipboard - softvar/enhanced-github
Montecarlito - MonteCarlito is a free Excel-add-in to do Monte-Carlo-simulations.