|9 days ago||5 days ago|
|BSD 2-clause "Simplified" 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.
Real Time Data Infra Stack
15 projects | dev.to | 4 Dec 2022
Recommend Django Great Projects
4 projects | news.ycombinator.com | 3 Dec 2022
Framework Laptops are now Thunderbolt 4 certified
5 projects | news.ycombinator.com | 7 Nov 2022
Is Redash dead? The red arrow indicates when Databricks acquired Redash
2 projects | reddit.com/r/dataengineering | 4 Aug 2022
Source: https://github.com/getredash/redash/graphs/contributors2 projects | reddit.com/r/dataengineering | 4 Aug 2022
Show HN: DataStation – App to easily query, script, and visualize data
4 projects | news.ycombinator.com | 31 May 2022
How does it compare to Redash (now Databricks SQL): https://github.com/getredash/redash?
Adminer: Database management in a single PHP file
6 projects | news.ycombinator.com | 29 May 2022
There seems enough competitors when this looks like a tool from 20 years ago with limited functionality.
If you somehow do not use the obvious GUI tools like TablePlus, Postico or SequelAce but prefer web based, there are some that actually look modern.
For readonly usage, Metabase is good.
Grafana but better?
2 projects | reddit.com/r/opensource | 22 Apr 2022
Something like https://redash.io with https://n8n.io connected to InfluxDB?
Building a vulnerability management dashboard
2 projects | reddit.com/r/AskNetsec | 15 Apr 2022
Without some dev/programming experience, it will be tough. But redash is a great Open Source tool to collect to data sources and show dashboards. Here is the GitHub
Professional DEs: how do you handle data that is "constantly" changing?
2 projects | reddit.com/r/dataengineering | 4 Apr 2022
we use a self hosted redash instance to visualize the data with dashboards and whatnot.
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
[D] What are the necessary python framework(s) to learn to become an AI/ML dev? A.K.A Complete Roadmap.
5 projects | reddit.com/r/learnmachinelearning | 5 Jul 2022
Data visualization: matplotlib, seaborn, bokeh, dash / plotly, etc.
Which projects do you think have fantastic documentation?
6 projects | reddit.com/r/Python | 29 Apr 2022
Bar Chat Webapp With Streamlit & Plotly
2 projects | dev.to | 31 Mar 2022
Plotly Graph Guides
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.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
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
Cartopy - Cartopy - a cartographic python library with matplotlib support