Guide on how to open-source projects
Label: work in progress
Define Target Audience
The course will be tailored to researchers, scientists, and companies with scientific roots, such as Dispertech .
The reason why someone would follow this course.
Actionable insights for someone who follows the course
What will people be able to do/know after following the course that was not able to do before the course:
- Avoiding common problems with open source projects
- Practical checklist to open-source succesfully
- Getting the code ready for publication (or as companion of a publication)
Knowledge gap to be addressed
- Why would you open source ? <- Important discussion for scientists
- Risks and opportunities of open-source are misjudged
- How to lay out a path to create a community around a project
- Standard patterns for open source projects
- Why would you learn how to open source projects ? <- Question is why learning, not why open-sourcing
Structure Of the Course
What does it mean to open-source a project?
Scientific open source
packages and tools such as:
- PyPylon, ODemis <- There's a company behind them
- ImageJ, CellProfiler <- Bigger projects, now well funded. Check their origins
- Examples of smaller packages with a following:
- What about Open Hardware ?
Examples of non-open programs:
- Gadget (Astronomy)
- Probably epidemiologic modeling
- I am sure there are plenty more, need to collect feedback
What is the goal of open-sourcing? <- You may have different goals!
- Scientific reproducibility
- Empowering a community
- Gaining attention
- Lowering the maintenance burden <- Is this true? Perhaps from a company perspective?
- Marketing strategy around a product
- Open source is a political act
Risks associated with open-source
- Researcher: Scooping of topics
- Single(indie)-developer: Someone builds a product on your work
- Company: Giving away resources to competitors
The question: Do benefits outweigh the risks?
- Or how do we mitigate the risks? <- Topic for later, since this is more technical
Choosing the tools to open-source: Git has eaten the world. 3 options:
- Github <- Where everyone hangs out
- Gitlab <- Can be self-hosted, e.g. by a university or company
- Bitbucket <- Is integrated with other tools that belong to Atlassian
- This course is not an introduction to Git! <- Can I assume people already know git?
- Readme! Create a description of the project, what it does, how it can be installed. Also, important, how to reach out! Screenshots!
- Choosing a license: On what basis? Never lose track of the objectives you set up at the beginning. (In other words: Start with Why ;-)
- Do you want people to contribute? <- Create contributor guidelines. If not sure, check other projects.
- The code
- How to use the program <- Examples
- How to extend it <- Examples?
- Hosted (and beautiful documentation) on ReadTheDocs
- More technical: Releases <- Zenodo!
Maintenance of the project: Master/Develop/Feature branch. Don't do all in master or people will get frustrated.
- Pull requests?
- How to evaluate Development costs of open source software
- How to evaluate Maintenance costs of open source projects
How to create and maintain a community beyond the code
- Sync/Async communication
- Foster inclusiveness
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