dtale-desktop
Apache Superset
dtale-desktop | Apache Superset | |
---|---|---|
7 | 3 | |
156 | 34,745 | |
- | - | |
2.6 | 9.9 | |
about 3 years ago | over 3 years ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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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.
dtale-desktop
- I made a data dashboard web app which you can interactively build by writing python code IN the dashboard. It's available as a python package, and contributors are very welcome! (and I actually need some)
- I made a data dashboard web app which you can interactively build by writing python code IN the dashboard. It's available as a python package, and contributors are welcome!
- Show HN: Dtaledesktop – organize your Python scripts into a data viz dashboard
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Hi pandas lovers - I released a package for easily converting your python scripts into data visualization dashboards (dtale/fastapi/react)
It can be run both locally and as a web service -- the demo site is actually running on a kubernetes cluster. When run as a web service, it uses websocket connections to push real-time updates, ensuring that all connected users see the same thing. There are a large number of settings which can be used to configure exactly how it behaves, documented [here](https://github.com/phillipdupuis/dtale-desktop#settings).
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If you use python/pandas/dtale for analysis, I released a free and open-source GUI for organizing your random python scripts into a data visualization dashboard
Also, if you want to you can run it as a web service -- the demo site is actually running on a kubernetes cluster. When run as a web service, it uses websocket connections to push real-time updates, ensuring that all connected users see the same thing. There are a large number of settings which can be used to configure exactly how it behaves, documented here.
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Need Help to understand importlib module
Inspiration taken from here: https://github.com/phillipdupuis/dtale-desktop/blob/master/dtale_desktop/source_code_tools.py#L20, in that case it's being used to execute text users write in a web browser as python code (text sent to server > server writes it to tempfile, turns the tempfile into a module, executes the code in the module, sends the result of executing that code back)
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?
dtale - Visualizer for pandas data structures
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
sweetviz - Visualize and compare datasets, target values and associations, with one line of code.
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.
jupyterlab-autoplot - Magical Plotting in JupyterLab
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
chord - Engaging visualisations, made easy.
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
hyperglass - hyperglass is the network looking glass that tries to make the internet better.
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
Numba - NumPy aware dynamic Python compiler using LLVM
cube.js - 📊 Cube — The Semantic Layer for Building Data Applications