Dask VS fastapi-crudrouter

Compare Dask vs fastapi-crudrouter and see what are their differences.

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Dask fastapi-crudrouter
32 4
11,906 1,295
1.6% -
9.7 0.0
6 days ago 5 months ago
Python Python
BSD 3-clause "New" or "Revised" License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

Dask

Posts with mentions or reviews of Dask. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-15.

fastapi-crudrouter

Posts with mentions or reviews of fastapi-crudrouter. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-18.
  • FUNCTOOLS CHANGED MY LIFE
    2 projects | /r/Python | 18 Oct 2021
    I can't show any pics cuz of uk NDA and all that. I can tell you the gist of it though. FastAPI is already pretty good at the abstraction part. Our middleware had a lot of rerouting and it was basically just a bunch of redundant functions. I just used this cool ass package https://fastapi-crudrouter.awtkns.com/ and used the partial function from functools to generate endpoints for every scenario/db tables.
  • FastAPI framework, high perf, easy to learn, fast to code, ready for production
    15 projects | news.ycombinator.com | 1 Feb 2021
    Thanks, that's a really helpful example.

    Where I think this could be taken to the next level of reusability is in modularising the front-end into API-specific components. For example, the login behaviour could depend on FastAPI-Users, with a sibling frontend library containing components that implement the same login flow. Adding user behaviour is then a matter of using the same third-party library on the front and back end.

    This approach could be extended to other components such as an admin panel (perhaps using https://github.com/awtkns/fastapi-crudrouter), or a blogging component.

What are some alternatives?

When comparing Dask and fastapi-crudrouter you can also consider the following projects:

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Numba - NumPy aware dynamic Python compiler using LLVM

Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

NetworkX - Network Analysis in Python

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python

starlite - Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs [Moved to: https://github.com/litestar-org/litestar]

statsmodels - Statsmodels: statistical modeling and econometrics in Python

PyMC - Bayesian Modeling and Probabilistic Programming in Python

blaze - NumPy and Pandas interface to Big Data

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Flask-AppBuilder - Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/