datasette-app
simonw
datasette-app | simonw | |
---|---|---|
12 | 9 | |
115 | 380 | |
- | - | |
2.6 | 9.9 | |
about 1 year ago | 4 days ago | |
JavaScript | Python | |
- | 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.
datasette-app
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Welcome to Datasette Cloud
Hah, Softbank isn't the goal here!
I realized that Datasette is the first project of my entire career where if I was still working on it in 15 years time I wouldn't feel bored yet. There's just SO MUCH scope for interesting applications of the core idea.
As such, I want to work on it for decades. But it's lonely working on it alone (the community around it has been growing and is delightful, but it's not the same as having a full-time team.)
So the question I'm trying to answer is how to make the project financially sustainable in the long-run - not just for myself, but so I can pay for a team to work on it with me.
There are plenty of other examples of open source projects that have turned SaaS hosting into a sustainable business model - WordPress and GitLab are just two of the best examples. It feels like it's a reasonably well-trodden path.
Plus... I want people to be able to use my software. Currently to use Datasette as an individual you either have to "pip" or "brew" install it, or you can try the macOS Electron app - https://datasette.io/desktop - but I want newsrooms to be able to use it to collaborate on data. And most newsrooms aren't well equipped to configure a Linux server.
So I realized that a hosted SaaS version can solve two issues at once: it can help the audience I care about actually benefit from the value of the software so far, and it provides a reasonably realistic path to financial sustainability for the project as a whole.
And yeah, I'd also like to make a ton of money out of it myself too!
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Bing: “I will not harm you unless you harm me first”
It would be nice if his stuff worked better, ironically. The Datasette app for Mac seems to be constantly stuck on loading (yes I have 0.2.2):
https://github.com/simonw/datasette-app/issues/139
Amd his screen capture library can't capture Canvas renderings:
https://simonwillison.net/2022/Mar/10/shot-scraper/
Lost two days at work on that.
Speaking of technology not working as expected.
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Datasette is my data hammer
I'd love to get the desktop app working on Linux and Windows.
I did manage to get a prototype working on Windows, despite having VERY little experience working on that platform: https://github.com/simonw/datasette-app/issues/71
The bit I'm stuck on is how to turn that prototype into an application with an installer that's signed so people can download and run it.
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Automating screenshots for the Datasette documentation using shot-scraper
I have trouble answering this question myself, and I created it!
The problem I have is that it can be applied to too many different problems.
I personally have used it for the following (a truncated summary):
- Publishing data online to allow other people to explore it, for example https://scotrail.datasette.io and https://russian-ira-facebook-ads.datasettes.com/
- Building websites, by combining it with custom templates. https://datasette.io and https://www.niche-museums.com and https://til.simonwillison.net are three examples
- Building my own combined search engine over a bunch of different data. https://github-to-sqlite.dogsheep.net is this for my GitHub issues and commits and issue comments across 100+ projects
- Similarly, building a code search engine across multiple repos (partly to demonstrate how far you can go with custom plugins): https://ripgrep.datasette.io
- Any time I have a CSV file I open it in the Datasette Desktop macOS app first to start exploring it: https://datasette.io/desktop
- As a prototyping tool. It's the fastest way I know of to get from some data files (CSV or JSON) to a working JSON API - and a GraphQL API too using this plugin: https://datasette.io/plugins/datasette-graphql
- Messing around with geospatial data - here's a write-up of my favourite experiment with that so far: https://simonwillison.net/2021/Jan/24/drawing-shapes-spatial...
This is a bewilderingly wide array of things! And I keep on finding new problems I can apply it to:
Of course, if all you have is a hammer, everything looks like a nail. But thanks to the plugin system (and the amazing flexibility of SQLite under the good) I can reshape my hammer into all sorts of interesting shapes!
I've been trying to capture some of this at https://datasette.io/for
This is one of my biggest marketing challenges for the project though. If someone asks you for an elevator pitch you need to do better than spending 15 minutes talking through a wide ranging bulleted list!
- Upscayl – Free and Open Source AI Image Upscaler for Linux, macOS and Windows
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What’s the best cheap program to start??
You can use my Datasette software to explore the database: https://datasette.io/desktop - that's the Mac version but you can run the underlying software on Windows too.
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Cool SQL projects?
Then you can either run "pip install datasette" and "datasette healthkit.db" or you can install the Datasette Desktop app from https://datasette.io/desktop and use that to open the database file.
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Need helping actually using SQL
You may find my Datasette Desktop Mac application useful: it provides a read-only interface over SQLite and cdn oprn both SQLite files and CSV files: https://datasette.io/desktop
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JupyterLab Desktop App now available
This is really interesting to see. I've been trying to solve a similar problem over the past few weeks - bundling up a Python web application as an installable Desktop app, in my case for https://datasette.io/desktop - so it's really interesting to see how they've approached the problem.
I ended up including a full copy of Python using https://github.com/indygreg/python-build-standalone - it looks like they've bundled Conda.
I wrote up detailed notes on how I solved the Python bundling problem in https://simonwillison.net/2021/Sep/8/datasette-desktop/#how-... and in https://til.simonwillison.net/electron/python-inside-electro...
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Datasette Desktop 0.2.0: The annotated release notes
I've been having a ton of fun building this. The code is all open source at https://github.com/simonw/datasette-app - it's my first time working with Electron and the biggest task was figuring out how to bundle Python inside an Electron app, which I wrote about in detail here: https://til.simonwillison.net/electron/python-inside-electron
simonw
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Ask HN: High quality Python scripts or small libraries to learn from
Everything @simonw has worked on, honestly: https://github.com/simonw
- Datasette is my data hammer
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How to add coding projects to Github portfolio?
You can create a repo at https://github.com/simonw/simonw (only using your username twice) and the README.md file in there will be used to populate your profile page.
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Should i keep my forked repos after contribution if i want to use github as resume ?
I'd leave the forked repos there, and then use pinned repositories on your profile to highlight the repositories you are most proud of. You can also use a personal README to customize your profile - I have one here for example: https://github.com/simonw
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how to run a github action every 6 hours
Here's one of mine that runs three times an hour: https://github.com/simonw/simonw/blob/main/.github/workflows/build.yml
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How to Build a Dynamic GitHub Profile with GitHub Actions and PHP
As I was browsing examples for some inspiration, I stumbled upon Simon Willison's version, which features some dynamic content like recent work and blog publications. He explained how he used a combination of GitHub Actions and Python to achieve this in a blog post, and I decided to do something similar with PHP.
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sqlite-utils - my Python library and CLI tool for manipulating SQLite databases
I have GitHub sponsors setup: https://github.com/simonw
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CALISHOT 2021-08: Find ebooks among 403 Calibre sites
If you really want to please me, consider sponsoring Simon Willinson the author of the framework I'm relying on .
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Ask HN: What are some tools / libraries you built yourself?
I have 112 mostly-maintained released project listed on https://github.com/simonw/simonw/blob/main/releases.md now - most of which are tools for loading data into SQLite database files (a surprisingly under-served use-case given how ubiquitous SQLite is) and plugins for my https://datasette.io/ project for reading data back out of SQLite again.
I realized a few years ago that SQLite was the perfect tool for doing data analysis at the small-data scale, where small data is less that 10GB which is pretty much everything you might want to analyze - especially for personal projects.
So I've been building tools to fill that niche!
What are some alternatives?
til - Today I Learned
rupy - HTTP App. Server and JSON DB - Shared Parallel (Atomic) & Distributed
fusionauth-site - Website and documentation for FusionAuth
datasette - An open source multi-tool for exploring and publishing data
iron.nvim - Interactive Repl Over Neovim
github-to-sqlite - Save data from GitHub to a SQLite database
vscode-nodebook - Node.js notebook
kondo - Cleans dependencies and build artifacts from your projects.
vscode-jupyter - VS Code Jupyter extension
google-takeout-to-sqlite - Save data from Google Takeout to a SQLite database
django-sql-dashboard - Django app for building dashboards using raw SQL queries
hacker-news-to-sqlite - Create a SQLite database containing data pulled from Hacker News