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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.
Show HN: Open-source animated chart presentations in computational notebooks
2 projects | news.ycombinator.com | 11 Sep 2022
Show HN: Ipyvizzu-story – animated data stories in Jupyter Notebook
2 projects | news.ycombinator.com | 25 Aug 2022
Show HN: Build, present and share animated data stories in Jupyter Notebook
2 projects | news.ycombinator.com | 14 Aug 2022
2 projects | reddit.com/r/webdev | 30 Jul 2022
Jupyter/Python extension: https://github.com/vizzuhq/ipyvizzu-story
Anyone else feel ‘trapped’ in power bi?
2 projects | reddit.com/r/PowerBI | 22 Mar 2023
Depending on the nature of your reporting requirements, you could output a formatted Excel document with Python and a library such as openpyxl, and shove that into your SharePoint environment. This would be less dynamic than PBI reports can be, but may be sufficient. If you want viz as well, you can use something like ggplot or Plotly. Again, less dynamic than PBI for the same effort.
FiftyOne Computer Vision Model Evaluation Tips and Tricks – Feb 03, 2023
2 projects | dev.to | 3 Feb 2023
Because the confusion matrix is implemented in plotly, it is interactive! To interact visually with your data via the confusion matrix, attach the plot to a session launched with the dataset:
Create interactive plots with Python and Plotly
2 projects | dev.to | 3 Feb 2023
I've created a notebook in this Github repo to demo some of Plotly basic capabilities and I highly recommend checking out the official documentations for examples of each plot type and to discover lots of cool stuff that you can put in your notebook/site 🙂.
GUI for a Dynamically Created Dataframe
2 projects | reddit.com/r/learnpython | 31 Jan 2023
Инструменты Python. Библиотеки для анализа данных
7 projects | reddit.com/r/u_DenoiseLAB | 10 Nov 2022
- plotly (https://plotly.com/python/);
I spent over 100 hours creating this website showing off NL's YouTube stats
2 projects | reddit.com/r/northernlion | 9 Oct 2022
Sure! One of the big ones that really powers the whole web application is Python Dash. This framework lets you build an entire web application in pure python, similar to something like Flask or Django, but its geared more towards data science applications. You get to use all of the Plotly charts in a streamlined way. 🙌 Dash actually uses React under the hood to render the web page, and there's a lot of useful 3rd party libraries with ready-to-use web components.
I made an interactive data viz cookbook with PyScript. It includes over 35 recipes to plot with pandas, matplotlib, seaborn, and plotly.express
2 projects | reddit.com/r/Python | 9 Sep 2022
They have a lot of detailed examples on https://plotly.com/python/
I wrote a python module to track historical performance of a weighted portfolio to aid in future decision making
3 projects | reddit.com/r/algotrading | 30 Jul 2022
(I don't know how to run it if it's installed as a package, but this works great and is much easier to customize. Plotly has pretty graph/chart options by the way https://plotly.com/python/ )
How to get more GitHub Stars and Followers on Open Source Projects ?
8 projects | dev.to | 25 Jul 2022
Focus on Documentation We get more traffic to our documentation than our main website. A well-documented project is always loved by the community. Open-source projects like Docusaurus make it super easy to build documentation portals that look great just out of the box. Adding links to the repository from the documentation can drive more visitors to your repository. What to include in documentation How to install/deploy the project If the project has a compiled software as the final product, make sure to add installation instructions. If the project is the codebase for a library such as an npm package or a Ruby gem, include details on how to import and use the library. If the project needs to be or can be deployed on platforms like Kubernetes, Docker, Heroku, and others, include separate guides for each of the options. Contributing guide Apart from the contributing guide doc in the codebase, add one to the documentation, too. It should include guides for setting up a local environment on different platforms like Docker, Mac OS, Ubuntu, Windows, and so on. Tutorials and code examples If this is applicable, it can be really helpful. How to guides on using using the project will show other devs how they can actually get started. It can be code examples if the project is a library. Architecture reference It will be helpful for the contributors if the documentation has details on different components of the project. For example, if the project has server and client components, include a diagram on how everything works together. Here are some projects with great documentation: https://docs.nestjs.com/ https://docs.n8n.io/ https://guides.rubyonrails.org/ https://plotly.com/python/ https://docs.mapbox.com/ https://www.github-stars.com or Github24.
What are the most used tools for Data Visualization? I am a newbie. Want to develop info-graphics like these. TIA
2 projects | reddit.com/r/dataisbeautiful | 16 Jul 2022
What are some alternatives?
Altair - Declarative statistical visualization library for Python
bokeh - Interactive Data Visualization in the browser, from Python
matplotlib - matplotlib: plotting with Python
folium - Python Data. Leaflet.js Maps.
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
seaborn - Statistical data visualization in Python
bqplot - Plotting library for IPython/Jupyter notebooks
pygal - PYthon svg GrAph plotting Library
Graphviz - Simple Python interface for Graphviz
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Cartopy - Cartopy - a cartographic python library with matplotlib support