Dapper
fastapi
Our great sponsors
Dapper | fastapi | |
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9 | 465 | |
13,651 | 70,779 | |
- | - | |
5.1 | 9.8 | |
about 3 years ago | 4 days ago | |
C# | Python | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Dapper
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Working with ListView in Windows Forms
Even those the old backend code to read from a database would work, the code was rewritten using Dapper. Had to add two column aliases in SQL SELECT statements and everything worked.
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Import data from a database with Dapper and SpreadsheetLight to Excel in C#
In this article learn how to create Excel spreadsheet documents from reading data from two SQL-Server table from a modified version of Microsoft NorthWind database using NuGet package Dapper and SpreadSheetLight to create and populate the spreadsheet files.
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Multiple Result Sets for SQL-Server (C#) including Dapper
Learn how to read reference table from SQL-Server using a single method. What is shown provides an efficient way to either use a connection, command objects to read data via a SqlDataReader for conventional work using methods from SqlClient and also Dapper which requires two lines of code to read data and one line of code to store data into list.
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BREAKING!! NPM package ‘ua-parser-js’ with more than 7M weekly download is compromised
https://www.nuget.org/packages/Newtonsoft.Json/ https://www.nuget.org/packages/AutoMapper/ https://www.nuget.org/packages/Dapper/ https://www.nuget.org/packages/FluentValidation/ https://www.nuget.org/packages/FluentAssertions/ https://www.nuget.org/packages/NUnit/ https://www.nuget.org/packages/xunit/ https://www.nuget.org/packages/YamlDotNet/ https://www.nuget.org/packages/Moq/ That is simply not true. Mature c# projects purposely maintain no downstream dependencies and is they do, it's to a major reputable lib. See for yourself - these are staple third party packages commonly used. Anything dependency starting with System or NETStandard is Microsoft maintained.
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How to Build a Blazor CRUD Application with Dapper
In this blog post, we are going to discuss how to bind the Syncfusion Blazor DataGrid with a database using Dapper and perform CRUD operations. To demonstrate this, we are going to create a bug tracker database table in MS SQL Server and perform CRUD operations in that table in a Blazor server-side application.
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A couple of questions about dotnet from a Java developer :)
Entity Framework Core StackExchange/Dapper
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Requests per second 12 requests per second – Realistic Python web frameworks
Like there wouldn't be anything in between /s
There are "simple ORMs" that only map results of SQL queries to objects. They do not provide a magic query API - which is the source of most problems. I don't do Python, but for .NET there is Dapper https://github.com/StackExchange/Dapper, you can have a look what I mean. You write the SQL query, explicitly execute it, the library maps the results of that query into objects (it's C#, so you have to declare the class. In Python I'd imagine it would create the object for you)
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Why would I even bother using Dapper?
To add some differences: EF tracks object state in an instance of a context, Dapper does not. Dapper is strictly for object mapping (taking the output of a query and mapping it onto an object). This makes Dapper far easier to implement, versus EF’s DbContext configuration. Due to the lack of tracking and slimmer wrapping, it’s also faster. Things get really great when you have multiple complex objects and multiple result sets. It takes a lot of boring boilerplate code out of your code.
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Plans for Entity Framework Core 6.0 revealed as Microsoft admits it is unlikely to match Dapper for performance
Just take a look at this Dapper 2.0 feature that's been festering for months years.
fastapi
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FastAPI Got Me an OpenAPI Spec Really... Fast
That’s when I found FastAPI.
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How to Deploy a Fast API Application to a Kubernetes Cluster using Podman and Minikube
FastAPI & Uvicorn
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Analysing FastAPI Middleware Performance
Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696
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LangChain, Python, and Heroku
An API application framework (such as FastAPI)
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Litestar – powerful, flexible, and highly performant Python ASGI framework
It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.
This ends up made worse if you’re using sync routes.
If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.
This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759
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AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.
- Ask HN: What is your go-to stack for the web?
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Fun with Avatars: Crafting the core engine | Part. 1
We will create our API using FastAPI, a modern high-performance web framework for building fast APIs with Python. It is designed to be easy to use, efficient, and highly scalable. Some key features of FastAPI include:
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Building Fast APIs with FastAPI: A Comprehensive Guide
FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework.
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Effortless API Documentation: Accelerating Development with FastAPI, Swagger, and ReDoc
FastAPI is a modern, fast web framework for building APIs with Python 3.7+ that automatically generates OpenAPI and JSON Schema documentation. While FastAPI simplifies API development, manually creating and updating API documentation can still be a time-consuming task. In this blog post, we’ll explore how to leverage FastAPI’s automatic documentation generation capabilities, specifically focusing on Swagger and ReDoc, and how to streamline the process of documenting your APIs.
What are some alternatives?
LINQ to DB - Linq to database provider.
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
PetaPoco - Official PetaPoco, A tiny ORM-ish thing for your POCO's
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
Entity Framework - EF Core is a modern object-database mapper for .NET. It supports LINQ queries, change tracking, updates, and schema migrations.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
MongoDB Repository pattern implementation
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
NPoco - Simple microORM that maps the results of a query onto a POCO object. Project based on Schotime's branch of PetaPoco
Flask - The Python micro framework for building web applications.
NHibernate - NHibernate Object Relational Mapper
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.