datastation-documentation
datasette
datastation-documentation | datasette | |
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3 | 187 | |
3 | 8,955 | |
- | - | |
0.0 | 9.3 | |
almost 2 years ago | 4 days ago | |
HTML | 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.
datastation-documentation
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Show HN: DataStation – App to easily query, script, and visualize data
Hey folks! I quit my job at Oracle almost a year ago now to build DataStation. It's an app I've wanted as an engineering manager for years now.
DataStation helps you query a variety of data sources (conventional SQL like PostgreSQL and MySQL, non-SQL like Prometheus or Elasticsearch), files and HTTP APIs. It is not a SQL layer on top of these various APIs like FDW in Postgres or Apache Calcite. For Prometheus you query with PromQL. For Elasticsearch you query with Lucene. And for SQL databases you query with their SQL dialect.
DataStation is made of panels (other apps might call them cells) that each produce a result. Panels can refer to other panels. These allow you to build workflows that cross the boundary of a particular datasource. For example you might have some data in a CSV a product manager gave you and the bulk of your data is in PostgreSQL. DataStation helps you pull together these data sets and script them.
DataStation is mainly a desktop app today where the end result is that you export graph SVGS or HTML tables or markdown tables or just a CSV file. All this data stays on your laptop so it's as easy to use in a corporate environment as any existing SQL IDE or Jupyter Notebook.
In the last year it's reached 1.5k stars on Github, over 1000 unique users and currently on-average about 40 fairly active users per month (defined as having opened the app more than a few times).
DataStation is primarily an Electron app but the code that evaluates panels is written in Go.
You can find a ton of tutorials on how to interact with supported databases on the DataStation website: https://datastation.multiprocess.io/docs/.
Looking forward to your feedback!
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Ask HN: Tools to visualize data in SQL database?
There are primarily a bunch of tutorials for getting started [0] (these are up to date) and some old videos (not up to date) [1].
[0] https://datastation.multiprocess.io/docs/
[1] https://www.youtube.com/channel/UCGOQFKonPUVo5LgxQDW26yg/vid...
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Ask HN: What are you using for public documentation these days?
A markdown generator embeds markdown from a Github repo into the marketing site. This way the marketing site is kept private while anyone can easily contribute to docs.
Docs are kept in separate folders for each release.
https://github.com/multiprocessio/datastation-documentation
datasette
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Ask HN: High quality Python scripts or small libraries to learn from
Simon Willison's github would be a great place to get started imo -
https://github.com/simonw/datasette
- Show HN: TextQuery – Query and Visualize Your CSV Data in Minutes
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Little Data: How do we query personal data? (2013)
I'm a fan on simonw's datasette/dogsheep ecosystem https://datasette.io/
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LaTeX and Neovim for technical note-taking
I use Anki the exact same way. After a lifetime of learning I have accepted that I will never read over anything I write for myself voluntarily - so my two options are:
1. Write an article so good I can publish it and look it over myself later on. I did this last year with https://andrew-quinn.me/fzf/, for example.
2. Create Anki cards out of the material. Use the builtin Card Browser or even https://datasette.io/ on the underlying SQLite database in a pinch to search for my notes any time I have to.
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Daily Price Tracking for Trader Joes
Were you aware of, or tempted by https://datasette.io/ for creating your solution?
- SQLite-Web: Web-based SQLite database browser written in Python
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Ask HN: What two software products should have a kid?
Browsing HN, GitHub and the like we get to see a huge variety of software products and code bases.
I often see products and think - if this product X, got together with Y, it would be pretty cool - kind of like if they had a kid together.
Not too literally, but more on the conceptual level - my level of programming is low.
E.g. Just some....
- pocketable.io & datasette (+with some more charting) [https://pocketbase.io, https://datasette.io]
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Ask HN: Looking for a project to volunteer on? (February 2024)
You might like the Datasette project: https://datasette.io/
I don't think they are desperate for contributions but it's a welcoming environment and a fun project to hack on. You'll learn a lot just from reading the source and the incredibly informative PRs. The creator is a really talented developer with a great blog which shows up on the HN front page often.
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Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.
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What We Watched: A Netflix Engagement Report – About Netflix
> uploads of boring raw excel data and receive a nice UI
https://datasette.io/
What are some alternatives?
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
nocodb - 🔥 🔥 🔥 Open Source Airtable Alternative
franchise - 🍟 a notebook sql client. what you get when have a lot of sequels.
duckdb - DuckDB is an in-process SQL OLAP Database Management System
Motor Admin - Deploy a no-code admin panel for your application in less than a minute. Stop wasting time on custom internal tools and focus on the actual product. Motor Admin allows to launch a custom admin panel for any application.
sql.js-httpvfs - Hosting read-only SQLite databases on static file hosters like Github Pages
superset - Apache Superset is a Data Visualization and Data Exploration Platform
litestream - Streaming replication for SQLite.
manconvert - Convert troff-style man pages to doxygen source or formatted HTML
Sequel-Ace - MySQL/MariaDB database management for macOS
awesome-business-intelligence - Actively curated list of awesome BI tools. PRs welcome!
beekeeper-studio - Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.