GitHub vs. Wolfram Mathematica

GitHub is well suited for software development, GitHub is particularly well suited for software development projects, where teams need to collaborate on code, track changes, and review code changes. Also for open-source projects, GitHub is an ideal platform for open-source projects, where teams of developers from all over the world can collaborate on code and contribute to projects. For documentation, GitHub provides a platform for creating and sharing documentation, making it an ideal solution for teams that need to create and maintain documentation. On small and medium-sized teams GitHub is well suited as those teams that need to collaborate on software projects and track changes to their code.

We are the judgement that Wolfram Mathematica is despite many critics based on the paradigms selected a mark in the fields of the markets for computations of all kind. Wolfram Mathematica is even a choice in fields where other bolide systems reign most of the market. Wolfram Mathematica offers rich flexibility and internally standardizes the right methodologies for his user community. Wolfram Mathematica is not cheap and in need of a hard an long learner journey. That makes it weak in comparison with of-the-shelf-solution packages or even other programming languages. But for systematization of methods Wolfram Mathematica is far in front of almost all the other. Scientist and interested people are able to develop themself further and Wolfram Matheamatica users are a human variant for themself. The reach out for modern mathematics based science is deep and a unique unified framework makes the whole field of mathematics accessable comparable to the brain of Albert Einstein. The paradigms incorporated are the most efficients and consist in assembly on the market. The mathematics is covering and fullfills not just education requirements but the demands and needs of experts.

Mathematica is incompatible with other systems for mCAx and therefore the borders between the systems are hard to overcome. Wolfram Mathematica should be consider one of the more open systems because other code can be imported and run but on the export side it is rathe incompatible by design purposes. A better standard for all that might solve the crisis but there is none in sight. Selection of knowledge of what works will be in the future even more focussed and general system might be one the lossy side. Knowledge of esthetics of what will be in the highest demand in necessary and Wolfram is not a leader in this field of science. Mathematics leves from gathering problems from application fields and less from the glory of itself and the formalization of this.

• As a repository it's great. It houses almost all the open-source applications/code that anyone can fork and play with. A huge collection of sample codes available with problem statements across different domains make Github a one-stop location.
• I use GitHub with Windows and the Git Bash is superb. It [is] a powerful alternative to the Command Prompt and Powershell. Allows me to run shell scripts and UNIX commands inside the terminal [on] a Windows PC.
• GitHub integration with almost all cloud development/deployment platforms is amazing. Deploying a new application in Azure is really smooth. Just link the GitHub repositories and it's good to go. From automatic build to deployment everything is just amazing.

• It allows straightforward integration of analytic analysis of algebraic expressions and their numerical implemented.
• Supports varying programmatic paradigms, so one can choose what best fits the problem or task: pure functions, procedural programming, list processing, and even (with a bit of setup) object-oriented programming.
• The extensive and rich tools for graphical rendering make it very easy to not just get 2D and 3D renderings of final output, but also to do quick-and-dirty 2D and 3D rendering of intermediate results and/or debugging results.

Incentivized

• When browsing history of a file, GitHub could make it easier to see the file after a particular commit instead of just being able to quickly view the commit. I'd like to be able to see the commit or the file itself in one click.
• I would like to be able to view commits by user.
• I would love to be able to traverse code on GitHub (go to definition, etc) - the good news here is that they are working on these features!

Incentivized

• Should include more libraries and functions.
• Should include more functions that can be used in Machine Learning.
• Should include more functions that can be used in Data Science.

Incentivized

GitHub's ease of use and continued investment into the Developer Experience have made it the de facto tool for our engineers to manage software changes. With new features that continue to come out, we have been able to consolidate several other SaaS solutions and reduce the number of tools required for each engineer to perform their job responsibilities.

- Easy to use compared to other version control software. UI interface makes it easy to use, as well as protects against making a major mistake by deleting code, etc. - UI looks modern. - Support for multiple platforms, which I assume will only get better with time. - Student benefits are awesome! - The size limitations on their repositories make sense to me. Not too crazy but realistic from a business perspective.

Incentivized

It's a testament to how easy it is to use GitHub and how many others use it that you can pretty much find the answer to any problem you have by searching online. Consequently, I've never needed to use their support. It's an incredibly easy tool to set up initially, so it won't require much onboarding expertise to get started.

Incentivized

Wolfram Mathematica is a nice software package. It has very nice features and easy to install and use in your machine. Besides this, there is a nice support from Wolfram. They come to the university frequently to give seminars in Mathematica. I think this is the best thing they are doing. That is very helpful for graduate and undergraduate students who are using Mathematica in their research.

Incentivized

At the time to evaluation - Bitbucket was very tightly integrated into Atlassian’s suite of tools. For an organization that is starting out and looking to spend limited funds effectively - the cost/benefit of using that suite of tools usually doesn’t make sense. Granted things may have changed since then (its been over 5 years) - but at the time GitHub was effective - and all prospective engineers knew about it and already had accounts. This made it very easy to add to the organization and not lose time in training, etc. Developers seem to really love GitHub above most other tools out there - so that plays into the decision making as well.

Incentivized

We have evaluated and are using in some cases the Python language in concert with the Jupyter notebook interface. For UI, we using libraries like React to create visually stunning visualizations of such models. Mathematica compares favorably to this alternative in terms of speed of development. Mathematica compares unfavorably to this alternative in terms of license costs.

Incentivized

• Github has increased our rate of code development, increasing our publishing rate. This helps bring attention to the research we are doing and ultimately brings in more funding for further research.
• Because GitHub makes my team more efficient, we are able to put more hours into code development / report writing rather than agonizing over different versions of code created without version control software.
• We use a paid version of GitHub, because we work through private repositories, but the increase in productivity, efficiency, and research progress is definitely worth the price.

Incentivized

• Easy to solve huge mathematical equations, so it saved time there
• Doing analysis and plotting graphs is also another plus point
• Learning is very slow, and it took lot of time to learn its scripting language

Incentivized