csv-diff
django-sql-dashboard
csv-diff | django-sql-dashboard | |
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1 | 8 | |
273 | 431 | |
- | - | |
0.0 | 4.4 | |
3 months ago | 2 months 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.
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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.
csv-diff
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Comparing 2 CSV files
I have a command-line tool that does that: https://github.com/simonw/csv-diff
django-sql-dashboard
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Datasette is my data hammer
I have a sister project to Datasette called Django SQL Dashboard which works against PostgreSQL databases: https://django-sql-dashboard.datasette.io
It used Django for the authentication layer but can otherwise work against any PostgreSQL database.
I partly built it to help explore what Datasette could look like if it expanded to work with more databases than SQLite. That's still something I'm considering doing in the future, via a plugin hook, but it's not on my short-term roadmap.
- How do you log all API calls in your application?
- Saving Filtered Querysets for Future Access
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Do I need to create seperate app for a dashboard?
Reusable apps do exist (I released one myself a few months ago, https://django-sql-dashboard.datasette.io) but in most projects apps are single-use only - at which point they become little more than a code organization tool.
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Why is uncoupled documentation bad?
I use documentation systems that publish the documentation from the repo to a website. Most of my projects use Sphinx and reStructuredText for this, but I recently tried MyST (Markdown for Sphinx) and I like that a lot.
Some examples:
- https://docs.datasette.io serves documentation from https://github.com/simonw/datasette - which has documentation unit tests here: https://github.com/simonw/datasette
- https://django-sql-dashboard.datasette.io/ serves from markdown in https://github.com/simonw/django-sql-dashboard - I don't have documentation unit tests for that yet
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Dataflow, a self-hosted Observable Notebook Editor
Weirdly my Django SQL Dashboard project fits the bill a bit here: you can build up a "dashboard" (which is a tiny bit notebook-like if you squint at it the right way) with multiple SQL queries on it, and save that either as a bookmark or as a "saved dashboard" with a URL.
https://django-sql-dashboard.datasette.io/
In my own work I've been using it for the kind of things that I would normally use a Jupyter notebook for - gathering together research on problems I'm trying to solve.
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Show HN: Django SQL Dashboard
It's hand-written CSS - there's not much of it: https://github.com/simonw/django-sql-dashboard/tree/01bb7e60...
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Data Analysis with Django
I've been building a tool for this over the past couple of months called Django SQL Dashboard - it currently only works with PostgreSQL and you need to create a read-only database connection, but it then provides an interface for executing any bookmarking SQL queries plus some basic visualizations: https://github.com/simonw/django-sql-dashboard
What are some alternatives?
datacompy - Pandas and Spark DataFrame comparison for humans and more!
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
scripts-to-rule-them-all - Set of boilerplate scripts describing the normalized script pattern that GitHub uses in its projects.
Docusaurus - Easy to maintain open source documentation websites.
django-sql-explorer - Easily share data across your company via SQL queries. From Grove Collab.
dash - Data Apps & Dashboards for Python. No JavaScript Required.
papermill - 📚 Parameterize, execute, and analyze notebooks
govuk-form-builder - A form builder for Ruby on Rails that’s compatible with the GOV.UK Design System.
django-extensions - This is a repository for collecting global custom management extensions for the Django Framework.
datasette - An open source multi-tool for exploring and publishing data
govuk_design_system_formbuild
datasette-app - The Datasette macOS application