Dev tools · alternatives · 2026

24 alternatives to Django Model Parsing with Python's AST module

Django Model Parsing with Python's AST module is a developer tool that uses Python's abstract syntax tree capabilities to parse Django models. Built for Python developers working with Django frameworks, it provides a… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Django Model Parsing with Python's AST module launched in 2012; newer entries below may have overtaken it.

1
Python Source Code Refactoring Toolkit via AST▲110
AST-based fragmental source code refactoring toolkit for Python - isidentical/refactor
2021 · github.com · its alternatives →
2DS
Django SQL Dashboard▲204
2021 · django-sql-dashboard.datasette.io · its alternatives →
3ID
importd – d is for django▲116
2013 · pythonhosted.org · its alternatives →
4
Fast C-based HTML 5 parsing for Python▲169
Fast C based HTML 5 parsing for python. Contribute to kovidgoyal/html5-parser development by creating an account on GitHub.
2017 · github.com · its alternatives →
5SA
Silk, a profiling tool for Django▲113
2014 · mtford.co.uk · its alternatives →
6
Oxyde – Pydantic-native async ORM with a Rust core▲155
Hi HN! I built Oxyde because I was tired of duplicating my models. If you use FastAPI, you know the drill. You define Pydantic models for your API, then define separate ORM models for your database, then write converters between them. SQLModel tries to fix this but it's still SQLAlchemy underneath. Tortoise gives you a nice Django-style API but its own model system. Django ORM is great but welded to the framework. I wanted something simple: your Pydantic model IS your database model. One class, full validation on input and output, native type hints, zero duplication. The query API is…
Mar 2026 · github.com · its alternatives →
7
GPT-JSON – Structured and typehinted GPT responses in Python▲174
Hey HN, I've been using GPT a lot lately in some side projects around data generation and benchmarking. During the course of prompt tuning I ended up with a pretty complicated request: the value that I was looking for, an explanation, a criticism, etc. JSON was the most natural output format for this but results would often be broken, have wrong types, or contain missing fields. There's been some positive movement in this space, like with jsonformer (https://github.com/1rgs/jsonformer) the other day. But nothing that was plug and play with GPT. This library consolidates…
2023 · github.com · its alternatives →
8
A Python tool for text-based AI training and generation using GPT-2▲174
A robust Python tool for text-based AI training and generation using GPT-2. - minimaxir/aitextgen
2020 · github.com · its alternatives →
9
An ORM for Python objects, inspired by Django▲13
Python without ifs and buts - an ORM layer for Python objects, inspired by Django - onyb/reobject
2017 · github.com · its alternatives →
10AD
A Django code review bot for GitHub pull requests▲105
2020 · django.doctor · its alternatives →
11
Pydb – a lightweight database with Python syntax queries, using ZeroMQ▲130
A lightweight database with Python syntax queries, using ZeroMQ - asrp/pyzdb
2017 · github.com · its alternatives →
12
Res(ts): Auto-Generate TypeScript Models for Django Projects▲54
Contribute to peter-woyzbun/rests development by creating an account on GitHub.
2018 · github.com · its alternatives →
13
Two Scoops of Django 1.8▲76
The best book on Django. Period.
2015 · feldroy.com · its alternatives →
14
Model2vec-Rs – Fast Static Text Embeddings in Rust▲60
Hey HN! We’ve just open-sourced model2vec-rs, a Rust crate for loading and running Model2Vec static embedding models with zero Python dependency. This allows you to embed text at (very) high throughput; for example, in a Rust-based microservice or CLI tool. This can be used for semantic search, retrieval, RAG, or any other text embedding usecase. Main Features: - Rust-native inference: Load any Model2Vec model from Hugging Face or your local path with StaticModel::from_pretrained(...). - Tiny footprint: The crate itself is only ~1.7 mb, with embedding models between 7 and 30 mb. Performance:…
2025 · github.com · its alternatives →
15PC
Pre-configured Django project, Git repo, and virtualenv with 1 command▲58
2012 · builtbyptm.com · its alternatives →
16
Django CBV Inspect – A tool to help visualize Django class-based views▲18
A tool to help inspect Django class-based views. Contribute to sjbitcode/django-cbv-inspect development by creating an account on GitHub.
2023 · github.com · its alternatives →
17
Chard – simple async/await background tasks for Django▲61
A simple async/await task queue for Django. One process, no threads, no other dependencies. - drpancake/chard
2022 · github.com · its alternatives →
18
Build Machine Learning Web-Service with Python and Django▲67
My Machine Learning Web Service. Contribute to pplonski/my_ml_service development by creating an account on GitHub.
2020 · github.com · its alternatives →
19
Djaq provides a powerful, instant remote API to your Django models data▲10
Django queries. Contribute to paul-wolf/djaq development by creating an account on GitHub.
2020 · github.com · its alternatives →
20
Panoptisch – A recursive dependency scanner for Python projects▲45
Hello all, Very excited to share this project with you all! Panoptisch scans your Python file or module to find it's imports (aka dependencies) and recursively does so for all dependencies and sub-dependencies. It then generates a dependency tree in JSON for you to parse and enforce import policies. Supply chain attacks are no joke, and this is one way to transparently analyze your dependencies to see if any malicious imports are taking place. For example, your yaml parser, nor it's sub-dependencies should import socket, or sys. Panoptisch is in early stages, with known limitations (for…
2022 · github.com · its alternatives →
21
A NLP Library for Matching Parse Trees▲46
Language Lego. Contribute to ayoungprogrammer/Lango development by creating an account on GitHub.
2016 · github.com · its alternatives →
22
Python SDK – forecasting with foundation time-series and tabular models▲43
We’ve built a Python SDK for running inference on foundation models designed for time-series and tabular data. They are new SOTA models for time-series and tabular tasks and work out of the box. They do not require model training or feature engineering. The link to the GitHub repository is: https://github.com/S-FM/faim-python-client
Dec 2025 · github.com · its alternatives →
23AI
Anyone interested in a tool helps to explore C++ ASTs▲49
I built this software to help users who need to do static code analysis for C/C++ codebase. This can help you to explore the ASTs interactively. It can replace the Clang ast dump completely and also you can search the code/ASTs in a structual way. For example you can search a function which matches specific name or number of paremeters.
May 2026 · uvic-aurora.github.io · its alternatives →
24
we open sourced our startup's help desk as django-knowledge.▲26
We had a lot of reasons we wanted to build our own help desk, the least of which (and easiest to mention) is that a three seat license to the top tier desk systems are well over $100/mo. Plus they were slowing us down quite a bit. Right now its only dependency is Django, it supports email alert for updates, has bundled style, a permission like public/private/internal status, optional anonymous questions/responses, categories, searching, and a few more I've missed. What I'd like to do is: extend tests, class based views, parse incoming emails as questions & response (this is important for…
2012 · github.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →