django-extensions
dash
django-extensions | dash | |
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12 | 56 | |
6,422 | 20,502 | |
0.3% | 0.7% | |
4.5 | 9.6 | |
6 days ago | 6 days ago | |
Python | Python | |
MIT License | 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.
django-extensions
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Ask HN: Anyone use a code to mindmap/flowchart tool?
django_extensions/utils/dia2django.py: https://github.com/django-extensions/django-extensions/blob/...
django_extensions/management/modelviz.py:
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Color Django shell by development environment
I often perform operational tasks such as modifying data or debugging failures using the Django shell. In fact, anything I can't do through the admin or through management commands I use the shell for. The package django-extensions provides a shell on steroids that I much prefer over the built in shell. It allows you to run a custom REPL such as IPython or Ptpython and has autocomplete, command history, automatic model class imports and a myriad of other dev tools. shell_plus is for a Django programmer what a scalpel is for a surgeon.
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How do I list all my endpoints across the whole project
It currently has a bug with the latest django update I think; so if it it isn't fixed by the time you try it, remember to check it out later, because django-extensions is genuinely useful.
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Is it normal to forget a lot of commands despite having used them multiple times in the past?
alias m='exit_if_not_in_python_virtual_env && ./manage.py' alias mcs='exit_if_not_in_python_virtual_env && ./manage.py collectstatic' alias mcsu='exit_if_not_in_python_virtual_env && ./manage.py createsuperuser' alias mm='exit_if_not_in_python_virtual_env && ./manage.py migrate' alias mmm='exit_if_not_in_python_virtual_env && ./manage.py makemigrations' alias mrs='exit_if_not_in_python_virtual_env && ./manage.py runserver' alias ms='exit_if_not_in_python_virtual_env && ./manage.py shell' alias msa='exit_if_not_in_python_virtual_env && ./manage.py startapp' alias mt='exit_if_not_in_python_virtual_env && ./manage.py test' alias mts='exit_if_not_in_python_virtual_env && ./manage.py testserver' # [django-extension](https://github.com/django-extensions/django-extensions): alias msu="exit_if_not_in_python_virtual_env && ./manage.py show_urls" alias mvt="exit_if_not_in_python_virtual_env && ./manage.py validate_templates" alias msp="exit_if_not_in_python_virtual_env && ./manage.py shell_plus" alias mrsp="exit_if_not_in_python_virtual_env && ./manage.py runserver_plus"
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Is there a way to enable sql tracing in Django?
I use https://github.com/django-extensions/django-extensions
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How to get urls path from django views list ?
If you just want a list of all the available urls & paths in your app, take a look at the django-extensions package. It has a django management command show_urls, which will list them all out nicely.
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django and the issue of doing too much under the hood
https://github.com/django-extensions/django-extensions has a command, show_urls which outputs the URLs rendered for a project along with the name of their view handler
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Django for Startup Founders: A better software architecture for SaaS startups
# 1 million lines of logic and who knows how many queries
I've actually seen this pattern in every Django project :(
Regarding urls, instead of enforcing a flat file, I'd highly recommend always using django_extensions[0]. You'll get `shell_plus` that auto imports model and `show_urls` that you can grep for endpoint and gives you the handler.
[0] https://github.com/django-extensions/django-extensions
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Failing the CI build if django migrations are out of date
A common mistake in django is to make a model change but forget to run makemigrations to generate a migration for the model change. Sometimes it is not entirely obvious when this need to happen. For example, let's say I'm using the django-extensions library and I define a model like:
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Data Analysis with Django
Django Extensions has a shell_plus with notebook mode.
dash
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dash VS solara - a user suggested alternative
2 projects | 13 Oct 2023
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[Python] NiceGUI: Lassen Sie jeden Browser das Frontend für Ihren Python-Code sein
Of course there are valid use cases for splitting frontend and backend technologies. NiceGUI is for those who don’t want to leave the Python ecosystem and like to reap the benefits of having all code in one place. There are other options like Streamlit, Dash, Anvil, JustPy, and Pynecone. But we initially created NiceGUI to easily handle the state of external hardware like LEDs, motors, and cameras. Additionally, we wanted to offer a gentle learning curve while still providing the ability to go all the way down to HTML, CSS, and JavaScript if needed.
- Visualizing parquet in s3 bucket for data analysis?
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Little guidance of a python newbie
You could use something like Streamlit or Dash. In any case you will be accessing your app through the browser.
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Launch HN: Pynecone (YC W23) – Web Apps in Pure Python
Useful list. Dash & bokeh as two more in the space
https://github.com/plotly/dash
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Python projects with best practices on Github?
I also heard of Dash which serves the same purpose I guess, but I think it has more to offer.
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4 Streamlit Alternatives for Building Python Data Apps
Plotly is a plotting library, and Dash is their open-source framework for building data apps with Python, R or Julia. (Dash also has an Enterprise version, but we'll focus on the open-source library here.)
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NiceGUI: Let any browser be the frontend for your Python code
Of course there are valid use cases for splitting frontend and backend technologies. NiceGUI is for those who don’t want to leave the Python ecosystem and like to reap the benefits of having all code in one place. There are other options like Streamlit, Dash, Anvil, JustPy, and Pynecone. But we initially created NiceGUI to easily handle the state of external hardware like LEDs, motors, and cameras. Additionally, we wanted to offer a gentle learning curve while still providing the ability to go all the way down to HTML, CSS, and JavaScript if needed.
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Sharing interactive Plotly graphs
looks like you can get it manually (albeit with a loss of interactivity) https://github.com/plotly/dash/issues/145
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Containerizing Shiny for Python and Shinylive Applications
Shiny is a framework that makes it easy to build interactive web applications. Shiny was introduced 10 years ago as an R package. In his 10th anniversary keynote speech, Joe Cheng announced Shiny for Python at the 2022 RStudio Conference. Python programmers can now try out Shiny to create interactive data-driven web applications. Shiny comes as an alternative to other frameworks, like Dash, or Streamlit.
What are some alternatives?
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
streamlit - Streamlit — A faster way to build and share data apps.
re-frame - A ClojureScript framework for building user interfaces, leveraging React
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
django-crispy-forms - The best way to have DRY Django forms. The app provides a tag and filter that lets you quickly render forms in a div format while providing an enormous amount of capability to configure and control the rendered HTML.
panel - Panel: The powerful data exploration & web app framework for Python
django-seed - :seedling: Seed your Django database with fake data
uvicorn - An ASGI web server, for Python. 🦄
django-sql-dashboard - Django app for building dashboards using raw SQL queries
Flask - The Python micro framework for building web applications.
Django - The Web framework for perfectionists with deadlines.
nicegui - Create web-based user interfaces with Python. The nice way.