Skip to main content

Your code on Github - What itz worth?

I am an open source proponent and contributor. As a hobbist I build lot of cool tools and apps which I keep posting onto my GitHub handle. However, to be frank with you so far I never posted any license agreement along with my code. May be I am bit lazy to spare time and research on the open source license models and identifying one which is suitable for me.

Recently while searching in Open Source Licensing models and implications I came across Steven Burnap  answer on stack exchange thread "Open source code with no license… can I fork it?". Further exploration of GitHub opensource license page  I found...

What happens if I don't choose a license?

You're under no obligation to choose a license. It's your right not to include one with your code or project, but please be aware of the implications. Generally speaking, the absence of a license means that the default copyright laws apply. This means that you retain all rights to your source code and that nobody else may reproduce, distribute, or create derivative works from your work. This might not be what you intend.

Even if this is what you intend, if you publish your source code in a public repository on GitHub, you have accepted the Terms of Service which do allow other GitHub users some rights. Specifically, you allow others to view and fork your repository within the GitHub site.

If you want others to use, copy, modify, or contribute back to your project, we strongly encourage you to include an open source license.

This made me realize the code I was posting on GitHub with the intent of attracting tech enthusiast to use it in the best interest of technical community was not serving the purpose.

Comments

Post a Comment

Popular posts from this blog

Evolving App Paradigm

Over last two decades we have seen enterprise application landscape changing very rapidly with rapidly evolving technology stacks and changing industry dynamics. It is time for another paradigm shift in terms of how we conceptualize, design, develop, test and maintain our applications to meet volatile business requirements. Some of the prime features of this evolving paradigm Flexible business user centric infrastructure (than IT centric) IT as a service model with emphasis on user self service. Flexible development and deployment infrastructure which is readily available over cloud (no setup time, no high budgets and initial spending) Develop application using modern development languages which help improve the developer Usage of more dynamic meta programming languages Reusable assets, code generators, ... Build once and run anywhere across platforms and devices End-to-End application lifecycle integration through ALM and DevOps Improve communication and collaborat...
1 comment
Read more

Do we know the enterprise IT challenges...???

Last night during the dinner chat with one of my old school pal, we stumbled on the topic of current issues that enterprises are stuck with. It went on almost for 30 mins. But what made it less interesting to me is that whole discussion was around cost cutting, our sourcing, rationalization etc., It is really boring, we are still taking about the tip of iceberg. But the question is due we really know what the real challenges are. I am not talking about a laundry list with 30/40/50 items. I am looking why we really have those items? (whatever the count is). I could not get this out of mind and started listing, order, consolidating, prioritizing those items to make sure I am completely confident that as a consultant I am doubly sure about them. Of course, it is debatable. But this is what I think are core problem and rest of list is the symptoms. 1. Dynamic market conditions are forcing business to adopt rapidly while IT is able to respond to this 2. Day by day IT is becoming exp...
Post a Comment
Read more

AI gets smarter and more practical

We all know AI is coming to the forefront of technology in the form of machine learning (ML) and deep neural networks, where AI can understand the surroundings and apply that information to the current context, whether it is about data pattern analysis or driving a vehicle. Coupled with increasing capabilities of AI hardware, in 2018 we can expect: AI research will reach new heights in the fields of neural networks and generative adversarial networks. Cooperative learning among networks will lead to hybrid intelligence. Continuous evolution of AI will empower enterprise-scale business processes with intelligence and agility. AI will redefine the IT landscape with smart machines and borg systems. Read the complete article on DXC technology trends for 2018
Post a Comment
Read more