GitHub Gist VS CodeOcean

• Ease of Use
  GitHub Gist provides a simple interface for creating and sharing code snippets or textual information. Users can quickly create new gists without needing to set up a full repository.
• Version Control
  Each gist benefits from built-in version control, allowing users to track changes and roll back to previous versions if necessary.
• Collaboration
  Gists can be shared with others easily, and collaborators can comment on, suggest changes, and fork the gist for further modification, making it a good tool for code reviews and quick sharing.
• Embed and Share
  Gists can be embedded into websites and blogs, making it easy to share code in a readable and aesthetically pleasing way.
• Public or Private
  Users have the option to create public or secret gists, offering flexibility in terms of visibility and accessibility.

Possible disadvantages

• Limited Features
  Gists are not full-fledged repositories and lack many features that GitHub repositories offer, such as project management tools and issue tracking.
• Search and Organization
  Managing and finding gists can become challenging as there is no internal folder structure or advanced search capability to organize them effectively.
• Security
  While gists can be made private, they are still accessible by anyone who has the URL. They do not provide the same level of access control as private GitHub repositories.
• Limited Collaboration
  While gists support basic collaboration through comments and forks, they do not offer the comprehensive collaboration tools available in full GitHub repositories, such as detailed pull requests and issue tracking.
• File Size Limitation
  Gists have a file size limit, making them unsuitable for larger files or projects. This limits their use for anything beyond simple or small code snippets.

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• Help…I’m slightly embarrassed to post this…but could anyone look at my profile and let me know if there are any “newbie red flags”. I’ve fallen in love with Python and decided to post projects from the classes I’ve taken. I’ve got more advanced projects to post and still have some project cleaning!

  If you are learning things, you could also create github gists. That way your repos will only be coding related, while you can create tutorials / work exercises in gists. Source: almost 4 years ago

• Best Practice for keeping a library of code/functions to reuse in future projects

  I use Github, both for full repos and for short gists. Source: over 4 years ago

• Flutter Challenges: Challenge 02

  On the other hand, shared DartPads are just gists on GitHub so theoretically they can include code that works with different packages. Of course, such gists will not compile in DartPad and will be displayed as having errors :(. Source: over 4 years ago

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  I was an early hire at a computational reproducibility startup for scientists [0]; The platform was basically a web-based frontend wrapped around a Docker container hosted on AWS, and the idea was that you'd put your code and data on... - Source: Hacker News / almost 3 years ago

• Show HN: Open-source infra for data scientists

  It looks like Magniv is targeting Python in general. This is similar to ClearML. What are the differentiating points to Magniv compared to similar products? It seems like the product also integrates with SCM systems. Are you using gitea... - Source: Hacker News / over 4 years ago

• publishing data analysis performed in R/code availability

  Code ocean also exists for this purpose, though the number of compute hours is limited on free academic licenses. Source: about 5 years ago