snowpark-python
Apache Superset
| snowpark-python | Apache Superset | |
|---|---|---|
| 1 | 3 | |
| 231 | 34,745 | |
| 3.0% | - | |
| 9.6 | 9.9 | |
| 3 days ago | over 3 years ago | |
| Python | Python | |
| Apache License 2.0 | 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.
snowpark-python
Apache Superset
-
Using KeyCloak(OpenID Connect) with Apache SuperSet
The first difference is that after pull request 4565 was merged, you can no longer do:
-
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.
-
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?
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
jupysql - Better SQL in Jupyter. 📊
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.
Skytrax-Data-Warehouse - A full data warehouse infrastructure with ETL pipelines running inside docker on Apache Airflow for data orchestration, AWS Redshift for cloud data warehouse and Metabase to serve the needs of data visualizations such as analytical dashboards.
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
data-diff - Compare tables within or across databases
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
versatile-data-kit - One framework to develop, deploy and operate data workflows with Python and SQL.
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
cube.js - 📊 Cube — The Semantic Layer for Building Data Applications
grafanalib - Python library for building Grafana dashboards