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GitHub mlsqlNo features have been listed yet.
Based on our record, GitHub seems to be a lot more popular than mlsql. While we know about 2260 links to GitHub, we've tracked only 2 mentions of mlsql. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Smaller community projects and developer toolkits have also benefited from this licensing model. For instance, projects hosted on GitHub that value transparency and fair compensation have chosen this license to foster a collaborative environment. Discussions on Stack Overflow reveal that developers appreciate a model that balances both innovation and legal protection. - Source: dev.to / about 2 hours ago
Today, the open source ecosystem has expanded. From small utilities on GitHub to innovative blockchain projects like the Open Compensation Token License (OCTL), the market now has diverse licensing needs. In this context, the Beerware License offers a refreshing counterpoint by emphasizing openness and community trust over exhaustive legal protection. Discussions on platforms such as Hacker News and Stack Overflow... - Source: dev.to / 2 days ago
Mkdir DarkMatterApp Cd DarkMatterApp Dotnet new sln Mkdir src Dotnet new list # (OPTIONAL, to see what project types are available to create) Dotnet new webapi -o src/DarkMatterApp.API Dotnet sln add src/DarkMatterApp.API/DarkMatterApp.API.csproj Mkdir tests Dotnet new xunit -o tests/DarkMatterApp.API.Tests Dotnet sln add tests/DarkMatterApp.API.Tests/DarkMatterApp.API.Tests.csproj Echo "# Dark Matter... - Source: dev.to / 3 days ago
For GitHub, the link https://github.com///compare/... Shows the commits between two tags. - Source: dev.to / 17 days ago
We invite you to join the discussion and explore further on platforms like GitHub and Twitter, where the conversation around open source funding and licensing continues to evolve. - Source: dev.to / 5 days ago
I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being perfect. My supervisors want me to get the files off of docker and onto local files though (probably because they want me making changes here). I've tried running the shell scripts... Source: over 3 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: over 3 years ago
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