Software Alternatives, Accelerators & Startups

mlsql

Infer SQL queries from plain-text questions and table headers.

mlsql

mlsql Reviews and Details

This page is designed to help you find out whether mlsql is good and if it is the right choice for you.

Screenshots and images

  • mlsql Landing page
    Landing page //
    2023-09-07

Badges

Promote mlsql. You can add any of these badges on your website.

SaaSHub badge
Show embed code

Videos

We don't have any videos for mlsql yet.

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about mlsql and what they use it for.
  • Download the files from Docker Container and locally edit them
    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 4 years ago
  • Clone and edit Docker Projects hosted on Github
    I found this great resource here: https://github.com/paulfitz/mlsql. Source: over 4 years ago

Do you know an article comparing mlsql to other products?
Suggest a link to a post with product alternatives.

Suggest an article

mlsql discussion

Log in or Post with

Is mlsql good? This is an informative page that will help you find out. Moreover, you can review and discuss mlsql here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.