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FOSS License Checker
Deciphering FOSS licenses in plain English.
FOSS License Checker
Deciphering FOSS licenses in plain English.
GPT welcome message: Hello! Ready to explore open source licensing?
Authoraifuckups.com
Generated by ChatGPT
FOSS License Checker is a GPT designed to facilitate understanding of open-source software licenses. The tool simplifies the complex legalese found in the licensing agreements by providing the outcomes in bullet points and plain English, thus enabling users to understand what they are permitted and restricted from doing under the given license.
The GPT accepts either a GitHub URL or the name of a specific Free and Open Source Software (FOSS) license as input. Upon receiving the input, this GPT conducts an analysis, breaking down the permissions, restrictions, and requirements of the chosen license or the license applicable to the provided GitHub link.
This tool is ideal for developers, project managers, and anyone involved in open source projects who want to ensure they are complying with the terms of their chosen software licenses.
It requires ChatGPT Plus to operate which signifies it may come with some elements of extended functionality found in the Plus version of ChatGPT. Overall, the utility of the FOSS License Checker GPT lies in its capability to demystify the complexities surrounding software licensing with simplicity and precision.
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Releases
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October 26, 2023
Initial release of FOSS License Checker.
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Prompts & Results
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FOSS License Checker was manually vetted by our editorial team and was first featured on January 7th 2024.
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61,159505v2.5 released 1mo agoFrom $500/mo
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890,558648v1.6 released 28d agoFree + from $12/mo
Reducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs
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I have been using this application for some time now, and it pleasantly surprises me. At first, this tool seemed to be just something like a smart document search, but I was wrong. It is able to generate brief contents of books and documents. With it, I will be able to create my own knowledge base in various areas, which will be built only on the data I uploaded, which I am sure of. Overall, the app is great, and I can safely recommend it. How do I personally use this product: For example, to summarize medical research and books. I intend to use it for academic research to save time searching for answers to specific questions and searching for links (documents, pages, comments), and I have to say that I am impressed. I upload not only PDF documents, but also transcribe videos of specialists in the right subject and upload them together to the service. Thus, I make my personal library, knowledge base and the quality of knowledge deeper. More recently, I came up with the idea to use the knowledge of some specialists who run their social networks and tell me the information I am interested in on their pages, because I can also collect their posts on social networks. networks in one document and upload to the service. What I liked especially: 1. Simple and user-friendly interface. Everything is in its place and nothing superfluous. 2. The algorithm does not come up with answers, but proceeds from the data in the document, allowing you to ask contextual questions and receive point-to-point answers in real time. Very often, language models sin against this. 3. Unlimited questions in the "chat" You can ask as many questions as you want in real time without using any credits. 4. Unlimited daily download. 5. I can upload documents in any language and get answers in my own. I can make full use of knowledge from all over the world, not just in my language. 6. The file viewer and links work well. Just click on the link and you will open the document in exactly the right place! 7. Chat with documents is quite accurate and fast. 8. The idea of labels is quite convenient and it is possible to add multiple labels to a file. 9. After downloading the document, it will warn you which pages were not recognized or have little content. 10. Understands the context of the correspondence, and does not answer the last question. 11. Responsive support. 12. API Access 13. OCR. 14. Automation of the workflow. 15. The ability to use your OpenAI API key 16. There is a promising roadmap. Separately, I would like to tell you about the workflow automation function, with the help of, when working with a group of documents, which can be processed separately only the necessary sections of documents. This makes it possible to access several documents at once. This is a super opportunity to gain deeper knowledge from documents uploaded to the service. It should be noted that in the end, a lot depends on how correctly you ask the question. This is both a plus and a minus. An experienced user will always be able to bring the algorithm to the conclusions of interest. For novice researchers, it will be a little more difficult to set the right direction to find the right information. My dreams: 1. Although I have no problems with the document loading time, it would be cool to speed up the document processing time. 2. I would like more free language models. At the moment, the service uses OpenAL GPT 3.5 Turbo and Anthropic Claude 3 Haiku. In principle, this is enough, but it would be good if more advanced language models were included, which will allow you to study your documents even more deeply. 3. I would like to be able to add ready-made template queries to documents. 4. I would like to be able to mark the best answers, which I can quickly refer to later. 5. I would like to be able to create folders in the Documents and Options section cataloging my knowledge. 6. I would like to be able to change the title of the document. 7. I would like to have an internal search system for documents or labels, which will become very numerous over time. 8. It would be very useful to be able to add people to work together with configured access rights. 9. The opportunity to create your own knowledge base and post it on your website via html code would be very useful. 10. I would like to be able to highlight the desired fragment or keywords in the document when you click on the link in the response to the document request. What I wanted to draw attention to: It seemed to me that OCR does not work quite correctly, after downloading the document, it writes "you have not enough credits to use OCR", although there are credits. Maybe I was doing something wrong. I'll figure it out. In general, I would like to rate the usage experience at 5 stars. I recommend everyone to try it!
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