plotly.js
superset
plotly.js | superset | |
---|---|---|
40 | 137 | |
16,536 | 58,956 | |
0.5% | 1.7% | |
9.9 | 9.9 | |
6 days ago | about 15 hours ago | |
JavaScript | TypeScript | |
MIT License | Apache License 2.0 |
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.
plotly.js
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Ask HN: What's the best charting library for customer-facing dashboards?
Plotly is based on D3. Has both open-source version and paid option.
https://plotly.com/javascript/
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Build Your Own Uptime Monitor with MeteorJS + Fetch + Plotly.js ☄️🔭
Plotly as our chart renderer
- FLaNK Stack Weekly 19 Feb 2024
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Using Plotly.js with React
In this lesson, we will go through the steps of using Plotly.js in React. Plotly.js is an Open Source Graphing Library. At the end of this lesson, you should be able to do a simple plot with Plotly.js.
- Open-source JavaScript charting library behind Plotly and Dash
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Ask HN: What packages can be used to create interactive mathematics simulations?
Well, MathML[1] support is (nearly) everywhere now, and as the docs say:
MathML Core is a subset with increased implementation details based on rules from LaTeX and the Open Font Format. It is tailored for browsers and designed specifically to work well with other web standards including HTML, CSS, DOM, JavaScript.
I don't have a lot of experience working with this stuff (yet) but if you can script your MathML objects with Javascript, you should be able to make whatever interactive "stuff" you want in terms of math notation. Now drawing objects and plots and stuff is a different question.
There's stuff like Plotly[2], D3[3], Sigma[4], etc. that might be useful depending on exactly what effects you're going for.
[1]: https://developer.mozilla.org/en-US/docs/Web/MathML
[2]: https://github.com/plotly/plotly.js
[3]: https://d3js.org/
[4]: https://www.sigmajs.org/
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Using Plotly.js with Angular
This is the end of the lesson. For more information on Plotly.js, check the documentation Plotly.
- 10 highly effective BI dashboards that you can build with Python
- Flask chart and rss feed
- What chart libraries are ‘modern’?
superset
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Apache Superset
Superset is absolutely phenomenal. I really hope Microsoft eventually releases all of their customizations they made to it internally to the OS community someday.
https://www.youtube.com/watch?v=RY0SSvSUkMA
https://github.com/apache/superset/discussions/20094
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A modern data stack for startups
I recently ran a little shootout between Superset, Metabase, and Lightdash. All have nontrivial weaknesses but I ended up picking Lightdash.
Superset the best of them at _data visualization_ but I honestly found it almost useless for self-serve _BI_ by business users. This issue on how to do joins in Superset (with stalebot making a mess XD) is everything difficult about Superset for BI in a nutshell. https://github.com/apache/superset/issues/8645
Metabase is pretty great and it's definitely the right choice for a startup looking to get low cost BI set up. It still has a very table centric view, but feels built for _BI_ rather than visualization alone.
Lightdash has significant warts (YAML, pivoting being done in the frontend, no symmetric aggregates) but the Looker inspiration is obvious and it makes it easy to present _groups of tables_ to business users ready to rock. I liked Looker before Google acquired it. My business users are comfortable with star and snowflake schemas (not that they know those words) and it was easy to drop Lightdash on top of our existing data warehouse.
- FLaNK Stack Weekly for 20 Nov 2023
- Hiding tokens retrieved via API from the html source?
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Yandex open sourced it's BI tool DataLens
Or like not being able to delete a user without running some SQL:
https://github.com/apache/superset/issues/13345
Almostl instantly run into this issue setting up a test instance of Superset. And the issue has been around for years.
- Apache Superset Is a Data Visualization and Data Exploration Platform
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Apache Superset: Installing locally is easy using the makefile
Are you interested in trying out Superset, but you're intimidated by the local setup process? Worry not! Superset needs some initial setup to install locally, but I've got a streamlined way to get started - using the makefile! This file contains a set of scripts to simplify the setup process.
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More public SQL-queryable databases?
Recently I discovered BigQuery public datasets - just over 200 datasets available for directly querying via SQL. I think this is a great thing! I can connect these direct to an analytics platform (we use Apache Superset which uses Python SQLAlchemy under the hood) for example and just start dashboarding.
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How useful is SQL for managers?
if they don't want to pay for powerbi, can try something like https://superset.apache.org/
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Real-time data analytics with Apache Superset, Redpanda, and RisingWave
In today's fast-paced data-driven world, organizations must analyze data in real-time to make timely and informed decisions. Real-time data analytics enables businesses to gain valuable insights, respond to real-time events, and stay ahead of the competition. Also, the analytics engine must be capable of running analytical queries and returning results in real-time. In this article, we will explore how you can build a real-time data analytics solution using the open-source tools Redpanda a distributed streaming platform, Apache Superset, a data visualization, and a business intelligence platform, combined with RisingWave a streaming database.
What are some alternatives?
d3 - Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
streamlit - Streamlit — A faster way to build and share data apps.
echarts4r - 🐳 ECharts 5 for R
jupyter-dash - OBSOLETE - Dash v2.11+ has Jupyter support built in!
calendar-heatmap - 📊 Calendar heatmap graph
Apache Hive - Apache Hive
react-vis - Data Visualization Components
lightdash - Self-serve BI to 10x your data team ⚡️
dash-mantine-components - Plotly Dash components based on Mantine React Components
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
kedro-viz - Visualise your Kedro data and machine-learning pipelines and track your experiments.
django-project-template - The Django project template I use, for installation with django-admin.