
jamovi
Statista
JASP
Montecarlito
IBM ILOG CPLEX Optimization Studio
datarobot
Displayr
BlueSky Statistics
Git
GitHub
VS Code
Mercurial SCM
Apache Subversion
GitKraken
GitHub Desktop
Azure DevOps
jamovi
Gitjamovi has one of the most attractive user interfaces. Even the colors used for window-dressing match the default colors for its graphs. Like JASP, its dialogs provide instant results as each item is checked off. That immediate feedback feels great! Corrections to data values are also immediately reflected in each piece of output that would be affected. However, this also means that you can't do one step, restructure the data, then do another since jamovi requires each step to have the same data structure. SPSS, Minitab, BlueSky Statistics, and JMP can all do such common data-wrangling tasks. So, if you restructure your data a lot, you'll need to do that with another tool and read the data in separately for each structure. jamovi's menus start out very sparse and you extend them by downloading needed parts later. This is the opposite of similar tools like SPSS, Minitab, and BlueSky Statistics, which show all their capabilities upon installation. That makes it good for beginners who avoid the others' complex menus. Regarding analytic methods, jamovi has the most popular statistics. The main topics it lacks are quality control and machine learning/AI. Also, it cannot save models for making predictions on a different dataset.
Based on our record, Git seems to be more popular. It has been mentiond 319 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.
One last source of confusion worth clearing up. Git is the version control system itself, the underlying technology that does the change-tracking. GitHub is one popular place to host projects that use Git, and it is not the only one. GitLab and Bitbucket do much the same job. A beginner does not need to evaluate all three. Picking the one a tutorial or a friend already uses is a fine way to start because... - Source: dev.to / about 1 month ago
Use Git or a feature registry to track all changes. Versioned feature pipelines support reproducibility across both training and production. - Source: dev.to / about 1 month ago
The Git is the standard version control system in modern software development. With the ability to track changes and facilitate collaboration between teams, Git allows different versions of the source code to coexist, enabling parallel work and code maintenance. - Source: dev.to / about 1 month ago
Check the official website: https://git-scm.com/. - Source: dev.to / about 2 months ago
For complex codebases, a structured Markdown document organized by module works well as a starting point - it is human-readable and can be committed to version control alongside the code. For very large codebases, Git-tracked JSON or YAML dependency files, potentially visualized with a tool like Mermaid (available through GitHub), make the relationships searchable and interactive. - Source: dev.to / 2 months ago
Statista - The Statistics Portal for Market Data, Market Research and Market Studies
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
JASP - JASP, a low fat alternative to SPSS, a delicious alternative to R.
VS Code - Build and debug modern web and cloud applications, by Microsoft
Montecarlito - MonteCarlito is a free Excel-add-in to do Monte-Carlo-simulations.
Mercurial SCM - Mercurial is a free, distributed source control management tool.