fastapi-pagination | FastAPI pagination 📖

 by   uriyyo Python Version: 0.12.4 License: MIT

kandi X-RAY | fastapi-pagination Summary

kandi X-RAY | fastapi-pagination Summary

fastapi-pagination is a Python library typically used in Template Engine, Fastapi applications. fastapi-pagination has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However fastapi-pagination build file is not available. You can install using 'pip install fastapi-pagination' or download it from GitHub, PyPI.

FastAPI pagination

            kandi-support Support

              fastapi-pagination has a low active ecosystem.
              It has 730 star(s) with 92 fork(s). There are 8 watchers for this library.
              There were 9 major release(s) in the last 6 months.
              There are 11 open issues and 118 have been closed. On average issues are closed in 31 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of fastapi-pagination is 0.12.4

            kandi-Quality Quality

              fastapi-pagination has 0 bugs and 0 code smells.

            kandi-Security Security

              fastapi-pagination has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              fastapi-pagination code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              fastapi-pagination is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              fastapi-pagination releases are available to install and integrate.
              Deployable package is available in PyPI.
              fastapi-pagination has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 2276 lines of code, 236 functions and 60 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed fastapi-pagination and discovered the below as its top functions. This is intended to give you an instant insight into fastapi-pagination implemented functionality, and help decide if they suit your requirements.
            • Paginate a query
            • Reset context manager
            • Create a new page with the given items
            • Perform pagination with pagination
            • Add pagination routes to parent
            • Update the route
            • Create a dependency dependency function
            • Create a context manager for pagination
            • Return a CursorRawParams object
            • Decodes a cursor
            • Initialize the database
            • Return user data
            • Create a new CursorPage instance
            • Encode a Cursor
            • Render a page of users
            • Create a new limit offset page
            Get all kandi verified functions for this library.

            fastapi-pagination Key Features

            FastAPI pagination 📖

            fastapi-pagination Examples and Code Snippets

            No Code Snippets are available at this moment for fastapi-pagination.

            Community Discussions

            Trending Discussions on fastapi-pagination


            How to implement pagination for fastapi with mongo db(Motor)
            Asked 2021-May-17 at 16:45

            I have a simple REST api which is a books store created with FastAPI and mongo db as the backend (I have used Motor as the library instead of Pymongo). I have a GET endpoint to get all the books in the database which also supports query strings (For example : A user can search for books with a single author or with a genre type etc).

            Below are the corresponding codes for this endpoint :



            Answered 2021-May-17 at 16:45

            There is no right or wrong answer to such a question. A lot depends on the technology stack that you use, as well as the context that you have, considering also the future directions of both the software you wrote as well as the software you use (mongo).

            Answering your questions:

            1. It depends on the load you have to manage and the dev stack you use. Usually it is done at database level, since retrieving the first 110 and dropping the first 100 is quite dumb and resource consuming (the database will do it for you).

            2. To me is seems pretty simple on how to do it via fastapi: just add to your get function the parameters limit: int = 10 and skip: int = 0 and use them in the filtering function of your database. Fastapi will check the data types for you, while you could check that limit is not negative or above, say, 100.

            3. It says that there is no silver bullet and that since skip function of mongo does not perform well. Thus he believes that the second option is better, just for performances. If you have billions and billions of documents (e.g. amazon), well, it may be the case to use something different, though by the time your website has grown that much, I guess you'll have the money to pay an entire team of experts to sort things out and possibly develop your own database.


            Concluding, the limit and skip approach is the most common one. It is usually done at the database level, in order to reduce the amount of work of the application and bandwidth.

            Mongo is not very efficient in skipping and limiting results. If your database has, say a million of documents, then I don't think you'll even notice. You could even use a relational database for such a workload. You can always benchmark the options you have and choose the most appropriate one.

            I don't know much about mongo, but I know that generally, indexes can help limiting and skipping records (docs in this case), but I'm not sure if it's the case for mongo as well.


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install fastapi-pagination



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