jsonhero-web
jupyterlite
| jsonhero-web | jupyterlite | |
|---|---|---|
| 27 | 19 | |
| 8,696 | 3,659 | |
| 1.4% | 2.8% | |
| 5.2 | 8.9 | |
| 24 days ago | 13 days ago | |
| TypeScript | TypeScript | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" 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.
jsonhero-web
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5 useful JSON tools to improve your productivity
JSON Hero is another JSON viewer that allows us to explore and navigate our JSON data quickly and easily. Instead of providing a graphical visualization like JSON Crack, it allows us to see the structure of JSON in either a column, tree, or JSON layout.
- Simple GUI for local database on Windows
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Y Combinator invested $500k into my developer-first open source Zapier alternative!
Last year me and three friends launched a small open source project named jsonhero.io. We built it during our evenings and weekends, and to our surprise it quickly became super popular as a way to view JSON documents, receiving thousands of GitHub stars within a matter of weeks.
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Host a serverless stable diffusion image search Bot on Vercel
Suppose if you visit this link in your browser: lexica.art/api/v1/search?q=apples. You will get a JSON response back consisting of an array of images that match "apples". To understand the schema of the JSON response, you can use Postman or JSONHero.
- December 5, 2022: FLiP Stack Weekly
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Hacker News top posts: Nov 29, 2022
JSON Hero: Enhanced JSON structure visualization\ (136 comments)
- JSON Hero - A beautiful JSON viewer
- JSON Hero: Enhanced JSON structure visualization
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Jsonhero.io: Enhanced JSON structure visualization
It looks like it's open source and you can run it locally if you don't trust a third party website (and you probably shouldn't, depending on the data you paste in there): https://github.com/apihero-run/jsonhero-web
jupyterlite
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SymPy: Symbolic Mathematics in Python
The JupyterLite Python-compiled-to-WASM build has NumPy, SciPy, matplotlib, and SymPy installed; so you can do computer algebra with SymPy in a browser tab.
https://JupyterLite.rtfd.io/
https://github.com/jupyterlite/jupyterlite/tree/main/py/jupy... :
> Initial support for interactive visualization libraries such as: altair, bqplot, ipywidgets, matplotlib, and plotly
- Vscode.dev: Local Development with Cloud Tools
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Show HN: Ipython-GPT, a Jupyter/IPython Interface to Chat GPT
https://jupyterlite.readthedocs.io/en/latest/howto/extension... :
> We recommend checking out how to create a server extension first
From https://github.com/jupyterlite/jupyterlite/issues/237#issuec... re: 'micropip':
%pip install $@ -
Show HN: Classic FPS Wolfenstein 3D brought in the browser via Emscripten
https://github.com/emscripten-forge/recipes/tree/main/recipe...
Re: emscripten fs implementations: https://github.com/emscripten-core/emscripten/issues/15041#i... https://github.com/jupyterlite/jupyterlite/issues/315
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Jupyterlab Desktop
Agreed that would be a killer feature. Unzip this package and get a functional Python + Jupyter + scientific (numpy, pandas, scipy, matplotlib) environment.
I have been on-and-off teaching some people Python and the initial setup on-ramp is horrible. Ok, so install Python, now ignore-this-for-now-complications: create a "virtualenv", use this thing called "pip", install these half-dozen things to get a basic notebook (Jupyter + scipy things), install these other half-dozen quality of life things, you should probably also have "conda" for the future, etc. That's a lot of nonsense for someone I am trying to show an alternative to Excel.
My shortcut, "You want to try Python?" approach has been to start with JupyterLite[0] where I can immediately get people coding and delay that pain.
[0] https://github.com/jupyterlite/jupyterlite
- Show HN: A 100% free and interactive Python course for coding beginners
- What Are People Building With WebAssembly?
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Hacker News top posts: Nov 29, 2022
JupyterLite: a JupyterLab distribution that runs in the browser\ (45 comments)
- JupyterLite is a JupyterLab distribution that runs in the browser
- JupyterLite: a JupyterLab distribution that runs in the browser
What are some alternatives?
jsoncrack.com - ✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML, CSV and more, into interactive graphs.
starboard-notebook - In-browser literate notebooks
vscode-data-preview - Data Preview 🈸 extension for importing 📤 viewing 🔎 slicing 🔪 dicing 🎲 charting 📊 & exporting 📥 large JSON array/config, YAML, Apache Arrow, Avro, Parquet & Excel data files
pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
BoostNote-App - Boost Note is a document driven project management tool that maximizes remote DevOps team velocity.
panel - Panel: The powerful data exploration & web app framework for Python
reaflow - 🎯 React library for building workflow editors, flow charts and diagrams. Maintained by @goodcodeus.
xeus-cling - Jupyter kernel for the C++ programming language
SurveyJS - Free Open-Source JavaScript form builder library with integration for React, Angular, Vue, jQuery, and Knockout that lets you load and run multiple web forms, or build your own self-hosted form management system, retaining all sensitive data on your servers. You have total freedom of choice as to the backend, because any server + database combination is fully compatible.
brython - Brython (Browser Python) is an implementation of Python 3 running in the browser
jsonvisio.com - 🔮 Seamlessly visualize your JSON data instantly into graphs; paste, import or fetch! [Moved to: https://github.com/AykutSarac/jsoncrack.com]
streamlit - Streamlit — A faster way to build and share data apps.