flask-profiler
Apache Superset
flask-profiler | Apache Superset | |
---|---|---|
1 | 3 | |
744 | 34,745 | |
- | - | |
0.0 | 9.9 | |
over 1 year ago | about 3 years ago | |
Python | Python | |
MIT 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.
flask-profiler
-
Profiling Flask application to improve performance
There are a lot of profiling tools for Python code, and most of them are built-in — like profile or cProfile. Since I’m speaking about Flask application, let’s see what the world has especially for it. There is a beautiful lib called flask-profiler, which has a web interface with some cool features such as route or date filters. But Flask also has a built-in in werkzeug's profiler. It looked awesomely easy in use, so it was the first — and the last — one I tried. To use the built-in profiler you’ll need to add only two lines of code to your project:
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?
scalene - Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
Shynet - Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
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.
gprof2dot - Converts profiling output to a dot graph.
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
django-leaflet-admin-list - The Django Leaflet Admin List package provides an admin list view featured by the map and bounding box filter for the geo-based data of the GeoDjango.
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
kube-opex-analytics - 🎨 Kubernetes Usage Analytics and Accounting for Cost Allocation and Capacity Planning - Hourly Trends, Daily and Monthly Accounting - Prometheus Exporter - Built-in & Grafana Dashboards.
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
cube.js - 📊 Cube — The Semantic Layer for Building Data Applications