typedload VS Django

Compare typedload vs Django and see what are their differences.

typedload

Python library to load dynamically typed data into statically typed data structures (by ltworf)
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typedload Django
5 484
254 76,778
- 0.6%
8.1 9.8
7 days ago 7 days ago
Python Python
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" 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.
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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.

typedload

Posts with mentions or reviews of typedload. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-06.
  • Show HN: Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19
    20 projects | news.ycombinator.com | 6 Mar 2023
    Author of typedload here!

    FastAPI relies on (not so fast) pydantic, which is one of the slowest libraries in that category.

    Don't expect to find such benchmarks on the pydantic documentation itself, but the competing libraries will have them.

    [0] https://ltworf.github.io/typedload/

  • Pydantic vs Protobuf vs Namedtuples vs Dataclasses
    4 projects | /r/Python | 25 Feb 2023
    I wrote typedload, which is significantly faster than pydantic. Just uses normal dataclasses/attrs/NamedTuple, has a better API and is pure Python!
  • Informatica serve a qualcosa?
    1 project | /r/Universitaly | 4 Feb 2023
  • Show HN: Python framework is faster than Golang Fiber
    19 projects | news.ycombinator.com | 10 Jan 2023
    I read all the perftests in the repo. I think they nearly all parse a structure that contains a repetition of the same or similar thing a couple hundred thousand times times and the timing function returns the min and max of 5 attempts. I just picked one example for posting.

    Not a Python expert, but could the Pydantic tests be possibly not realistic and/or misleading because they are using kwargs in __init__ [1] to parse the object instead of calling the parse_obj class method [2]? According to some PEPs [3], isn't Python creating a new dictionary for that parameter which would be included in the timing? That would be unfortunate if that accounted for the difference.

    Something else I think about is if a performance test doesn't produce a side effect that is checked, a smart compiler or runtime could optimize the whole benchmark away. Or too easy for the CPU to do branch prediction, etc. I think I recall that happening to me in Java in the past, but probably not happened here in Python.

    [1] https://github.com/ltworf/typedload/blob/37c72837e0a8fd5f350...

    [2] https://docs.pydantic.dev/usage/models/#helper-functions

    [3] https://peps.python.org/pep-0692/

Django

Posts with mentions or reviews of Django. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-09.

What are some alternatives?

When comparing typedload and Django you can also consider the following projects:

codon - A high-performance, zero-overhead, extensible Python compiler using LLVM

Nest - A progressive Node.js framework for building efficient, scalable, and enterprise-grade server-side applications with TypeScript/JavaScript 🚀

ustore - Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production

pydantic-core - Core validation logic for pydantic written in rust

Flask - The Python micro framework for building web applications.

peps - Python Enhancement Proposals

Masonite - The Modern And Developer Centric Python Web Framework. Be sure to read the documentation and join the Discord channel for questions: https://discord.gg/TwKeFahmPZ

msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML

AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python

koda-validate - Typesafe, Composable Validation

Nuxt.js - Nuxt is an intuitive and extendable way to create type-safe, performant and production-grade full-stack web apps and websites with Vue 3. [Moved to: https://github.com/nuxt/nuxt]