datastation
vscode-jupyter
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datastation | vscode-jupyter | |
---|---|---|
25 | 32 | |
2,846 | 1,200 | |
0.5% | 2.3% | |
0.0 | 0.0 | |
5 months ago | 2 days ago | |
TypeScript | TypeScript | |
GNU General Public License v3.0 or later | 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.
datastation
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Code coverage for Go integration tests
There was a technique that existed already where you could use `go test -cover` and the `-o` flag to produce a binary from `go test` rather than actually running tests. So you could build a binary that had coverage enabled. Then when you ran
Here's an example: https://github.com/multiprocessio/datastation/blob/main/runn....
I can't remember where I found this technique but it's been around for a while.
This new option is the same thing but a way to `go build` with `-cover` instead of `go test -cover -o $out`? Do I have that right?
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Engineers using dbt with VS Code - how are you previewing your results in lieu of the functionality provided by dbt cloud?
If my employer doesn't consider paying for dbt cloud, I will use u/eatonphil 's datastation, run the queries on a dev database then put them in dbt.
- Show HN: DataStation – App to easily query, script, and visualize data
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Windmill.dev
I build a somewhat similar app, DataStation [0], that is in JavaScript and Go. It supports scripting in Python, Julia, R, JavaScript, Ruby, etc.
The server version of it exists and I run it myself but that process is not documented yet. (Most people use it as a desktop app today.)
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Datasette Lite: a server-side Python web application running in a browser
My biggest issue with Pyodide is the long wait times. I haven't figured out a way around a ~5 second load time where the entire UI hangs every single time you load the page.
My app (similar to Simon's, a lite mode of a data IDE): https://app.datastation.multiprocess.io.
My code: https://github.com/multiprocessio/datastation/blob/main/shar....
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Lies we tell ourselves to keep using Golang
I use Go heavily cross-platform developing DataStation [0] and dsq [1]. I am not an expert. And I don't have proof for it but on some rudimentary benchmarks the Linux-specific file idioms in the Go standard library definitely don't seem to translate well to even macOS let alone Windows. For example some good streaming techniques for reading large files on Linux that work really well there seemed to be pretty bad on macOS.
I think Amos has presented more proof than I can on the topic of just how Linux-influenced Go is. And I think it is fine for the majority of Go users because the majority users of Go are building server apps or Linux CLIs.
Amos has spent some time building cross-platform desktop systems with Go for itch.io and I think I'm seeing some of the same things they are in that scenario.
I think this is a reasonable article. If Amos gets flame-y at any point I think it's worth ignoring because there does seem to be something up with Go in cross-platform applications.
I like Go a lot and for most things I'd keep using it still. Just sharing some observations.
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Feeling overwhelmed when trying to contribute to opensource projects
I keep a page of good first projects for two big projects I work on. The only expectation is that you know Go. I've had a couple of people who've never contributed to OSS come in and get some meaningful features merged.
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Ask HN: Who wants to collaborate? (April 2022)
I've got some good first projects if you're interested in OSS data tools and have some Go experience.
Check out: https://github.com/multiprocessio/datastation/blob/main/GOOD...
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Open source Go projects to contribute (beginners)
Some example projects: DataStation (desktop GUI for querying every kind of database, scripting and graphing the results) and dsq (a CLI companion for running SQL queries on many kinds of files), and go-json (a library for fast JSON encoding of arrays of large objects).
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Ask HN: Anyone making a living building desktop applications?
I'm building a desktop-first (SaaS-eventual) data IDE for developers [0]. Making a living? Not yet.
It being desktop-first makes it as easy to try out in a corporate environment as Sublime. The data never leaves your machine. Desktop-first is a big deal in devtools for this reason.
vscode-jupyter
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Multiple Notepad++ Flaws Let Attackers Execute Arbitrary Code
https://github.com/microsoft/vscode/issues/4490
It looks like there are a number of vscode extensions for recording macros:
- https://www.google.com/search?q=vscode+macro+recorder
- https://marketplace.visualstudio.com/search?term=Macro&targe...
- the macro-commander README explains its JSON-based macro language. YAML might be easier to maintain than JSON. https://github.com/jeff-hykin/macro-commander#what-are-some-...
For teams with multiple editors, you can specify workflow automation scripts with shell scripts or ci container/cmd YAML, and/or pre-commit.yml instead of with an IDE-specific tool.
Isn't there native real-time collaboration functionality in vscode/vscodium that would be useful for a native macro recording feature? (Edit) Live Share can't be installed in vscodium. https://github.com/VSCodium/vscodium/issues/128
Support for jupyter-collaboration Y.js CRDT could be added to vscode-jupyter and/or a more generic extension: "Support for real-time collaboration in the extension?" https://github.com/microsoft/vscode-jupyter/discussions/1293...
jupyterlab/jupyter-collaboration:
- Unable to view complex numpy arrays in Dataviewer in VSCode
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Scrollable Notebook Cell
It looks like this. I resubmitted a new feature request.
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Jupyter Notebooks + VSCode Dev Container with Puppeteer support
I don't like the fact that Visual Studio Code thinks a notebook has changed, while Git knows it isn't. According to issue #9514, this is something that should be fixed in the core of Visual Studio Code. So, I'm not really sure why issue #83232 (or #24883) is closed.
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Ask HN: Are there any good Diff tools for Jupyter Notebooks?
I wish for a simple option in VS Code: On close of a Jupyter Notebook clear its output. Or something that separate the display of the output from the saved file (Still `ipnyb` file). See [1].
[1]: https://github.com/microsoft/vscode-jupyter/issues/9514
- VS Code Extensions For Python Developers.
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HELP i've tried everyhting | Jupyter extension won't work
jupyter won't work on vs-code
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Syntax highlighting is completely broken outside the first cell of my Jupyter notebook. It just keeps duplicating positionaly whatever is in the first cell. I have spent hours trying to fix. I am at a complete loss. Any ideas?
If that doesn't fix it, can you log an issue here? https://github.com/microsoft/vscode-jupyter/issues
- JupyterLab Desktop App now available
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Question on New Notebooks & 1.58 debugging
Does it work if you try it in Insider? If not, please put an issue in VS Code-Jupyter and it's appreciate that you share the link here.
What are some alternatives?
evcxr
vscode-gitlens - Supercharge Git inside VS Code and unlock untapped knowledge within each repository — Visualize code authorship at a glance via Git blame annotations and CodeLens, seamlessly navigate and explore Git repositories, gain valuable insights via rich visualizations and powerful comparison commands, and so much more
vscode-nodebook - Node.js notebook
Plotly.jl - A Julia interface to the plot.ly plotting library and cloud services
Bracket-Pair-Colorizer-2 - Bracket Colorizer Extension for VSCode
iron.nvim - Interactive Repl Over Neovim
nbstripout - strip output from Jupyter and IPython notebooks
homebrew-emacs-plus - Emacs Plus formulae for the Homebrew package manager
codetour - VS Code extension that allows you to record and play back guided tours of codebases, directly within the editor.
pyenv - Simple Python version management
Visual Studio Code - Visual Studio Code
gecko-dev - Read-only Git mirror of the Mercurial gecko repositories at https://hg.mozilla.org. How to contribute: https://firefox-source-docs.mozilla.org/contributing/contribution_quickref.html