datasette-app
iron.nvim
datasette-app | iron.nvim | |
---|---|---|
12 | 27 | |
115 | 898 | |
- | 3.1% | |
2.6 | 4.6 | |
about 1 year ago | 5 days ago | |
JavaScript | Lua | |
- | BSD 3-clause "New" or "Revised" License |
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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
iron.nvim
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Does anybody know what plugin or feature does this?
hard to tell, could be iron maybe? https://github.com/Vigemus/iron.nvim
- Help running chunks of Python to a terminal as REPL
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How do keymaps work?
The plugin in question is iron.nvim - but my question is certainly also applicable to other uses. How do I figure this out?
- Does anyone ever use Neovim to debug PyTorch?
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Looking for a maintainer to help me manage iron.nvim
Hey all, I've been thinking a lot about it and I believe I'm not being fair to the (relatively big) community that formed around iron.nvim and I think it needs a more active maintainer. I'd love to have the time and energy to put the effort into zero-ing the issues and delivering more features, keeping up with neovim development, but unfortunately it is not possible.
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Favorite REPL/Notebook/Task Running plugins and workflow?
For the record/list, there's also: - https://github.com/hkupty/iron.nvim and - https://github.com/jpalardy/vim-slime
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Which vim plugins do not have a lua equivalent yet?
For Codi, I migrated away to iron.nvim. Codi is really slick though :)
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data science (jupyter notebooks) with vim?
In the past, when I was using NeoVim more, I also used iron.nvim: https://github.com/hkupty/iron.nvim
- Is there an 'ielm' mode equivalent in neovim for lua?
- Remote repl
What are some alternatives?
til - Today I Learned
vim-slime - A vim plugin to give you some slime. (Emacs)
fusionauth-site - Website and documentation for FusionAuth
sniprun - A neovim plugin to run lines/blocs of code (independently of the rest of the file), supporting multiples languages
vscode-nodebook - Node.js notebook
packer.nvim - A use-package inspired plugin manager for Neovim. Uses native packages, supports Luarocks dependencies, written in Lua, allows for expressive config
vscode-jupyter - VS Code Jupyter extension
neoterm - Wrapper of some vim/neovim's :terminal functions.
django-sql-dashboard - Django app for building dashboards using raw SQL queries
magma-nvim-goose - Interact with Jupyter from NeoVim. - fork
datasette - An open source multi-tool for exploring and publishing data
python-build-standalone - Produce redistributable builds of Python