visions
Apache Superset
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visions | Apache Superset | |
---|---|---|
6 | 3 | |
194 | 34,745 | |
0.0% | - | |
0.0 | 9.9 | |
over 1 year ago | about 3 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
visions
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Complete Beginner tasked with ML at work - where do I start
This one works pretty well: https://github.com/dylan-profiler/visions
- Visions – User defined data type systems
- Show HN: Visions – User defined data type systems
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Show HN: DataProfiler – What's in your data? Extract schema, stats and entities
This is really cool! I'm glad there's more work going into the area - visions[1] is a similar tool which embeds the type system (user defined schema) into a traversable graph rather than encoding all type information in the trained network. We originally wrote it as the backend for pandas-profiling[2].
I'm not sure if any of the authors are on here but y'all might look into Sherlock[3] as well. They've got pre-trained models for many other semantic types than you've currently implemented.
1. https://github.com/dylan-profiler/visions
Apache Superset
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Using KeyCloak(OpenID Connect) with Apache SuperSet
The first difference is that after pull request 4565 was merged, you can no longer do:
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Open Source Analytics Stack: Bringing Control, Flexibility, and Data-Privacy to Your Analytics
Open-source BI platforms such as Metabase (website, GitHub) and Apache SuperSet (website, GitHub) are easy to deploy without IT involvement. Metabase lets you build dashboards from the data in your warehouse easily, with no SQL, or, if you have data engineering or science know-how, inside more powerful and flexible notebooks or with SQL itself. Similarly, Apache SuperSet helps businesses explore and visualize data from simple line charts to detailed geospatial charts.
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Ask HN: What low-code “dashboarding“ SaaS would you recommend in 2021?
Check out Superset. https://github.com/apache/incubator-superset
It’s modern, easy to extend. From the same author of apache airflow.
What are some alternatives?
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
DataProfiler - What's in your data? Extract schema, statistics and entities from datasets
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
superset - Apache Superset is a Data Visualization and Data Exploration Platform
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
scikit-learn - scikit-learn: machine learning in Python
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
calculadora-do-cidadao - 💵 Tool for Brazilian Reais monetary adjustment/correction
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
datacompy - Pandas and Spark DataFrame comparison for humans and more!
cube.js - 📊 Cube — The Semantic Layer for Building Data Applications