ubelt
dash
ubelt | dash | |
---|---|---|
7 | 56 | |
712 | 20,613 | |
- | 1.2% | |
8.3 | 9.6 | |
5 days ago | 7 days ago | |
Python | Python | |
Apache License 2.0 | 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.
ubelt
-
Python libs that I wish were part of the standard library
I can't give you a stdlib, but I can give you a package with a lot of the basic functionality but still small enough that it installs quickly and has negligable overhead. The ubelt library is a set of 100ish utility functions and classes. It's similar to boltons, but I suppose it reflects a different perspective on what's useful.
-
How do you feel about vendored packages?
Number 3 is the one I feel most conflicted about. Specifically, I tout my ubelt library as having 0 required dependencies. However, it vendors two libraries: progiter and orderedset. The first of which I also maintain and the second of which I don't maintain, but have contributed to. It feels odd to have a single dependency for a library that would otherwise have zero. But at the same time it feels odd to maintain that code myself. Also if I didn't vendor it, it would not be included in the documentation, so there is that. I've recently been thinking I should split ubelt up into many smaller packages and then use ubelt as a "hub" to include them all. However, that's a lot more work than just maintaining one (still quite small) package, and I think having everything broken up with incur a lot of overhead at pip install time, so I'm very conflicted on the whole subject.
- Useful helper libraries
-
Python projects with best practices on Github?
I'm fairly happy with my ubelt library.
-
[D] What is some cool python magic(s) that you've learned over the years?
The ubelt.util_platform module is a good example of including references to similar functionality.
-
[P] best-of-ml-python: A ranked list of awesome machine learning Python libraries
I also have a utility library ubelt with 552 stars and 6.9k downloads / month.
dash
-
dash VS solara - a user suggested alternative
2 projects | 13 Oct 2023
-
[Python] NiceGUI: Lassen Sie jeden Browser das Frontend fΓΌr Ihren Python-Code sein
Of course there are valid use cases for splitting frontend and backend technologies. NiceGUI is for those who donβt 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?
-
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.
-
Launch HN: Pynecone (YC W23) β Web Apps in Pure Python
Useful list. Dash & bokeh as two more in the space
https://github.com/plotly/dash
-
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.
-
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.)
-
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 donβt 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.
-
Sharing interactive Plotly graphs
looks like you can get it manually (albeit with a loss of interactivity) https://github.com/plotly/dash/issues/145
-
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?
best-of-web-python - π A ranked list of awesome python libraries for web development. Updated weekly.
streamlit - Streamlit β A faster way to build and share data apps.
best-of-python-dev - π A ranked list of awesome python developer tools and libraries. Updated weekly.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
best-of-jupyter - π A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.
panel - Panel: The powerful data exploration & web app framework for Python
best-of-python - π A ranked list of awesome Python open-source libraries and tools. Updated weekly.
uvicorn - An ASGI web server, for Python. π¦
fastcore - Python supercharged for the fastai library
Flask - The Python micro framework for building web applications.
best-of-ml-python - π A ranked list of awesome machine learning Python libraries. Updated weekly.
nicegui - Create web-based user interfaces with Python. The nice way.