Rust Language Server
mercury
Rust Language Server | mercury | |
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6 | 77 | |
3,568 | 3,779 | |
- | 1.0% | |
7.0 | 8.5 | |
over 1 year ago | 23 days ago | |
Rust | Python | |
GNU General Public License v3.0 or later | GNU Affero General Public License v3.0 |
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.
Rust Language Server
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Why doesn't rust-analyzer reuse infrastructures of rustc?
In the last there was RLS that did exactly that. But the approach of rust-analyzer was found to be more performant.
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[RFC] Generate Cabal files from TOML
LSP support seems to be lacking as well, at least rust doesn't seem to have Cargo.toml support? https://github.com/rust-lang/rls/issues/785
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Referencing files in subfolders and difference between borrowing and C like references
apparently, it means that you're using the old RLS-based Rust plugin for VS Code, rather than the rust-analyzer plugin. You probably won't see a lot of people familiar with RLS's error messages.
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friendly reminder for our vscode folks, use rust-analyzer
Why: The rust-analyzer extension integrates with rust-analyzer, an alternative language server for Rust. rust-analyzer tends to perform better and get less confused with your code as compared to RLS, which the Rust extension uses.
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Show HN: Skruv – No-dependency, no-build, small JavaScript framework
I have tried writing websites with rust instead of JavaScript. Unfortunately, the tooling is just not there. More specifically, I am talking about wasm-bindgen, which provides two-way bindings. The problem with it is that since all the declarations are generated with build.rs, there is no autocompletion. Since I am spoiled by modern tooling, no autocompletion to me means not feasible pass demo stage. (https://github.com/rust-lang/rls/issues/1489)
Aside from the lack of autocompletion, passing rust closures to js land (DOM) is extremely janky as well. However, that might be caused by my lack of experience with rust.
(If you are curious, this is what I made: https://github.com/SCLeoX/non-grid-path-finder)
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José Valim The Creator Of The Elixir Programming
Python the core devs don't care about tooling and they have IDE's, Java is an enterprise monolith so IDE's are the standard, Rust yes it is (https://github.com/rust-lang/rls), Elm I have no idea I don't use it.
mercury
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Ask HN: What's the best charting library for customer-facing dashboards?
I'm build dashboards in Jupyter Lab. My plotting libraries are Altair, matplotlib, seaborn, Plotly - all work well in notebook.
My favorite is Altair. It provides interactivity for charts, so you can move/zoom your plots and have tooltips. It is much lighter than Plotly after saving the notebook to ipynb file. Altair charts looks much better than in matplotlib. One drawback, that exporting to PDF doesn't work. To serve notebook as dashboard with code hidden, I use Mercury framework, you can check example https://runmercury.com/tutorials/vega-altair-dashboard/
disclaimer: I'm author of Mercury framework https://github.com/mljar/mercury
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mercury VS solara - a user suggested alternative
2 projects | 13 Oct 2023
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Show HN: Web App with GUI for AutoML on Tabular Data
Web App is using two open-source packages that I've created:
- MLJAR AutoML - Python package for AutoML on tabular data https://github.com/mljar/mljar-supervised
- Mercury - framework for converting Jupyter Notebooks into Web App https://github.com/mljar/mercury
You can run Web App locally. What is more, you can adjust notebook's code for your needs. For example, you can set different validation strategies or evalutaion metrics or longer training times. The notebooks in the repo are good starting point for you to develop more advanced apps.
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streamlit VS mercury - a user suggested alternative
2 projects | 8 Jul 2023
- GitHub - mljar/mercury: Convert Jupyter Notebooks to Web Apps
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[P] Opinionated Web Framework for Converting Jupyter Notebooks to Web Apps
The GitHub repository https://github.com/mljar/mercury
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Show HN: Opinionated Web Framework for Converting Jupyter Notebooks to Web Apps
We are working on open-source web framework Mercury that converts Python notebooks to Web Apps.
It is very opinionated:
- it has no callbacks - we automatically re-execute cells below updated widget
- it has no layout widgets, all input widgets are always in the left sidebar
Thanks to above decisions you don't need to change notebook's code to have web app and fit to the framework.
The simplicity of the framework is very important to us. We also care about deployment simplicity. That's why we created a shared hosting service called Mercury Cloud. You can deploy notebook by uploading a file.
The GitHub repository https://github.com/mljar/mercury
Documentation https://RunMercury.com/docs/
Mercury Cloud https://cloud.runmercury.com
- Show HN: Build Web Apps in Jupyter Notebook with Python Only
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[OC] Analyzing 15,963 Job Listings to Uncover the Top Skills for Data Analysts (update)
Analysis was done in Jupyter Notebook with Python 3.10, Pandas, Matplotlib, wordcloud and Mercury framework.
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[OC] Data Analyst Skills in need based on 15,963 job listings
Analysis was done in Jupyter Notebook with Python 3.10 kernel, Pandas, Matplotlib, wordcloud and Mercury framework to share notebook as a web application with widgets and code hidden. Gif created in Canva.
What are some alternatives?
Rustup - The Rust toolchain installer
streamlit - Streamlit — A faster way to build and share data apps.
Racer - Rust Code Completion utility
voila - Voilà turns Jupyter notebooks into standalone web applications
rusty-tags - Create ctags/etags for a cargo project
papermill - 📚 Parameterize, execute, and analyze notebooks
rust-analyzer - A Rust compiler front-end for IDEs
voila-gridstack - Dashboard template for Voilà based on GridStackJS
semantic-rs
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Clippy - A bunch of lints to catch common mistakes and improve your Rust code. Book: https://doc.rust-lang.org/clippy/
awesome-streamlit - The purpose of this project is to share knowledge on how awesome Streamlit is and can be