vega
superset
Our great sponsors
vega | superset | |
---|---|---|
17 | 137 | |
10,847 | 58,852 | |
0.6% | 3.6% | |
8.2 | 9.9 | |
9 days ago | 1 day ago | |
JavaScript | TypeScript | |
BSD 3-clause "New" or "Revised" 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.
vega
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Show HN: Minard – Generate beautiful charts with natural language
Hi HN – Excited to share a beta for Minard, a new data visualization toolkit we've been working on that lets you generate publication-quality charts with simple natural language (throw away your matplotlib docs and rejoice!).
Upload or import CSVs, Excel, and JSON, give it a spin, and please let us know what you think! (Long format data works best for now)
For those curious, the stack is a simple Django app with HTMX/Alpine and all of the charts are specified and rendered as Vega (https://vega.github.io/vega/). Lots of LLM function calling under the hood as well.
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Plotting XGBoost Models with Elixir
I recently added support for plotting XGBoost models using Vega (https://vega.github.io/vega/) into the XGBoost Elixir API (https://github.com/acalejos/exgboost).
Since EXGBoost supports loading trained models across different APIs, you can even train using the Python API and then plot using this Elixir API if you prefer.
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[OC] Most In-Demand Programming Languages from Jan-2022 to Jun-2023
The Data Source is from devjobsscanner (I am basically the owner, so I have the data) an the tool used to make the chart is Vega
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If you had to pick a library from another language (Rust, JS, etc.) that isn’t currently available in Python and have it instantly converted into Python for you to use, what would it be?
It’s based on Vega https://vega.github.io/vega/ which means it’s an already matured backend. Vega-lite is the Javascript package and Altair is the Python.
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Does anyone know how to get Visio experience while in between jobs?
Site:: https://vega.github.io/vega/
- Ask HN: What do you use for basic data analysis, visuals, and graphing?
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Launched my ADHD productivity app on product hunt - would love your support
Eh, I have no reason to, and not much interest in PHP anymore. Things like Vega seem really cool.
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[OC] Salaries Distribution by Programming Languages in 2022
This chart is make with Vega (and also all the charts from the article). Data source is from devjobsscanner and contains about 10 Million dev jobs offers, which only a small subset contain salary information thought.
- Angular + Line Chart
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Simple plotting/graphing crate suggestions
Not that I'm working on it, but I'd love to see a vega stack in rust.
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?
echarts - Apache ECharts is a powerful, interactive charting and data visualization library for browser
streamlit - Streamlit — A faster way to build and share data apps.
Chart.js - Simple HTML5 Charts using the <canvas> tag
jupyter-dash - OBSOLETE - Dash v2.11+ has Jupyter support built in!
Highcharts JS - Highcharts JS, the JavaScript charting framework
Apache Hive - Apache Hive
d3 - Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
lightdash - Self-serve BI to 10x your data team ⚡️
c3 - :bar_chart: A D3-based reusable chart library
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
Altair - Declarative statistical visualization library for Python
django-project-template - The Django project template I use, for installation with django-admin.