Apache Superset
DISCONTINUED
grafanalib
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Apache Superset | grafanalib | |
---|---|---|
3 | 4 | |
34,745 | 1,815 | |
- | 1.0% | |
9.9 | 7.2 | |
about 3 years ago | 13 days 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.
Apache Superset
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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.
grafanalib
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Write Grafana dashboards in Python, without losing thousands of dashboards in the zoo
How does it compare to grafanalib (Python) or grabana (Go)?
- New to Monitoring/Dashboard How to plan?
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Scripting Libraries for Grafana
grafanalib
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Ask HN: What low-code “dashboarding“ SaaS would you recommend in 2021?
Grafana is pretty great. There are a lot of built in connectors, but its ability to query arbitrary REST, JSON, oData etc endpoints along with databases makes it super flexible for what you mentioned.
https://grafana.com/grafana/plugins/simpod-json-datasource
It has a great GUI for building queries, plus solid RBAC, great charting, and a very flexible alert system. Configure in their GUI, then get your dashboard's code in as JSON for deployment. You can also define dashboard in actual code, ie grafanalib in Python and others- which is great for DevOps. https://github.com/weaveworks/grafanalib
They have nice stylesheets ready for TV displays, but it gets really fun when users get their hands on it and can zoom in and drill down on time-series data, filter with dynamic parameters and such.
What are some alternatives?
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
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.
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
cube.js - 📊 Cube — The Semantic Layer for Building Data Applications
bokeh - Interactive Data Visualization in the browser, from Python
matplotlib - matplotlib: plotting with Python
grafonnet-lib - Jsonnet library for generating Grafana dashboard files.
folium - Python Data. Leaflet.js Maps.
seaborn - Statistical data visualization in Python
Flask JSONDash - :snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.