react-flask-authentication
Apache Superset
| react-flask-authentication | Apache Superset | |
|---|---|---|
| 2 | 3 | |
| 64 | 34,745 | |
| - | - | |
| 0.0 | 9.9 | |
| about 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.
react-flask-authentication
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React Flask Authentication - Free Sample
This article presents an open-source sample that implements a JWT [Authentication using React and Flask](https://blog.appseed.us/react-flask-authentication/). The source code for the React Frontend and the Flask API is available for download on Github under the MIT license (permits unlimited copies, no footer credit). For newcomers, React is a popular Javascript library for coding UI interfaces baked by Facebook and Flask is a leading web framework written in Python.
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React Flask Authentication - Free Sample Included (link in comments)
Sources: https://github.com/app-generator/react-flask-authentication
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?
Flask-AppBuilder - Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
django-react-purity-dashboard - Django React - Purity Dashboard (Open-Source) | AppSeed
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.
flask-react-soft-dashboard - Flask React - Soft Dashboard (Open-source) | AppSeed.us
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
authlib - The ultimate Python library in building OAuth, OpenID Connect clients and servers. JWS,JWE,JWK,JWA,JWT included.
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
dash - Data Apps & Dashboards for Python. No JavaScript Required.
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
superset - Apache Superset is a Data Visualization and Data Exploration Platform
cube.js - 📊 Cube — The Semantic Layer for Building Data Applications