datasette-app
electron-builder
datasette-app | electron-builder | |
---|---|---|
12 | 42 | |
115 | 13,361 | |
- | 0.4% | |
2.6 | 9.3 | |
about 1 year ago | 1 day ago | |
JavaScript | TypeScript | |
- | MIT License |
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
electron-builder
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From a Day to 17 Minutes: How We’ve Dealt with Slow Build Times
The last step for each platform's build process is to upload the app to our GitHub releases repository. We automated this step from the beginning, but when we started creating builds for the new M1 chip Macs, we had to add a manual step. This involved merging files needed for the auto-updater to work with the M1 builds.
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Is macOS’s new XProtect behavioural security preparing to go live?
https://github.com/electron-userland/electron-builder/issues... that issue kinks to the PR that adds the automation.
It's a non-trivial thing to test, since it involves so many secrets and the notarization step can take over an hour, so I don't expect anyone here to actually want to look into it.
My original comment really was just venting my frustration, not a cry for help (but I might be crying soon if I can get to the bottom of this!).
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Uninstall the NightOwl macOS app now
> The ‘autoupdater’ does three things,
>
> - check the app for updates (using Sparkle)
> - report any crashes (using Sentry)
> - start a local HTTP proxy on port 40701 (this can be changed using the configuration json file in the app bundle).
>
> The latter is of course, not to be expected of any app on the machine, especially not one that just claims to be an auto updater.
Well, yes. And no.
For example, electron-builder [^0], a popular framework used for Electron app packaging and auto-updates, uses a local update server on Mac [^1] to add a more sane system backed by a more insane system, Squirrel.
[^0]: https://github.com/electron-userland/electron-builder
[^1]: https://github.com/electron-userland/electron-builder/blob/m...
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Looking for self-hosted auto update solution, working with GitLab.
The Project uses Electorn-Builder to package the app and Electorn-Updater to update.
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No keyboard? No problem. You can now use Bazecor without it! 😎
You can read about this issue here: https://github.com/electron-userland/electron-builder/issues/7114
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Spring Boot + Electron, a case study
Ostara is based off of electron-react-boilerplate and uses electron-builder to package the application.
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Electron - Not allowed to load local resource
Install electron and electron-builder
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Progress/Testing of code free I.F. engine
I believe Visual Studio Code uses Electron and posts releases on a regular basis. Maybe check their A quick Google search for "electron build github release" turns up "Electron Builder" https://www.electron.build/ I don't really know though; I've never used Electron.
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Is it worth bundling an Electron app with Puppeteer's Chromium if the main functionality is browser automation/scraper?
I also would like to have an NSIS installer so if it happens to package the Chromium executable along with my app, how can I accomplish that? I am using electron-builder.
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Can I build an electron app with just the binaries?
We use electron-builder at work.
What are some alternatives?
til - Today I Learned
cross-env
fusionauth-site - Website and documentation for FusionAuth
Alpine.js - A rugged, minimal framework for composing JavaScript behavior in your markup.
iron.nvim - Interactive Repl Over Neovim
electronmon - 🖥 run, watch, and restart electron apps using magic
vscode-nodebook - Node.js notebook
obs-studio - OBS Studio - Free and open source software for live streaming and screen recording
vscode-jupyter - VS Code Jupyter extension
concurrently - Run commands concurrently. Like `npm run watch-js & npm run watch-less` but better.
django-sql-dashboard - Django app for building dashboards using raw SQL queries
iptvnator - :tv: Cross-platform IPTV player application with multiple features, such as support of m3u and m3u8 playlists, favorites, TV guide, TV archive/catchup and more.