Alternatives
Products that do what Reactive Jupyter- reactive execution of Python in VSCode does
Hi HN I’ve developed an experimental VSCode extension to keep a Python Kernel in sync with a Python file. (Reactive execution) The extension uses Static Code Analysis to infer dependencies between lines of code. When you modify a line in a file, it will be marked as Stale together with all the lines that depend on it. You can Sync the state with Ctrl+Shift+Enter. In this way, you are always in control. See the Readme for a detailed demo. —------------- The primary limitation of this extension is that it currently relies on Static Code Analysis, which can only do so much. Again, see the…
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2021 · github.com
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I use print() a lot to debug small codebases. Log-booster VS Code extension allows you to insert/comment/uncomment/delete print statements within a Python file. If you happen to use it and like/dislike it, I would love to know. Inspiration: I discovered Turbo Console Log extension (https://github.com/Chakroun-Anas/turbo-console-log) and loved it. I noticed that it doesn't work for Python files. So I tried building one :)
2022 · github.com
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We made this extension that lets you run any python code on the web by using Pyodide. You can try it by installing this VSCode extension on GitHub.dev / VSCode.dev. Since it is using pyodide to run python code, there are some limitations which we have listed in the extension’s README page. We made this scrappy extension quickly as a POC for Stanford’s Code in Place program. Let us know if this is interesting and what features should we add next!
2022 · marketplace.visualstudio.com
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Hi Hacker News I am happy to share my projet: Reflow. Reflow is a VSCode extension that allows you to plan, track, and manage your projects directly within the VSCode editor. With Reflow, you can: - Break down your codebase into customized tasks - Create multiple workspaces, boards and statuses to track projects and sprints - Assign priority, tags, and users directly to the task - Collaborate in real-time with team members within VSCode - Link tasks to code snippets and files Checkout our VSCode Marketplace page to know more about Reflow! Reflow is still in beta and it was developed by a…
2023 · marketplace.visualstudio.com
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2021 · github.com
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2020 · github.com
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2019 · github.com
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Hi there, I built a React code editor component that also compiles, executes and returns the outputs of the program written in it (via pyodide/webassembly). I believe that this is a useful package for those building projects with web-based code editors. Expanding the library to be more flexible + have greater language support is a goal for the future. Hope it helps someone out there - please feel free to reach out if I can assist. Feedback and suggestions are always welcome.
2024 · npmjs.com
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We made a VS Code extension [1] that lets you visualise logs and traces in the context of your code. It basically lets you recreate a debugger-like experience (with a call stack) from logs alone. This saves you from browsing logs and trying to make sense of them outside the context of your code base. We got this idea from endlessly browsing traces emitted by the tracing crate [3] in the Google Cloud Logging UI. We really wanted to see the logs in the context of the code that emitted them, rather than switching back-and-forth between logs and source code to make sense of what happened. It's a…
2025 · github.com
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Definition Stack is a new vscode extension I have just released. It is a reading tool for Javascript and Typescript. It is available in the extension marketplace. You just click in a function in any source code, execute a command, and a new tab opens next to the original. That tab has a "block" which contains a copy of the function you clicked in. In that code every word (symbol) that has a definition is highlighted. If you click on a higlighted word a new block opens above the original which contains the source code of the definition for that word. You can click in that block and repeat to…
2025 · github.com
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Inspired by Simon Willison's blog post that was catalyzed by this HN post: https://news.ycombinator.com/item?id=34598024 wasm_exec is a Wasm-powered, sandboxed implementation of exec() for safely running dynamic Python code There are number of use-cases emerging that require arbitrary code execution, often code that is generated by LLMs (Large Language Models) like ChatGPT. This can enable some really cool functionality - like generative BI or website generation - but also introduce a massive security flaw if implemented via eval() or exec(). This is because arbitrary code can…
2023 · github.com
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Hi Hacker News, As a dev extensively using GPT-4 for coding, I've realized its effectiveness significantly increases with richer context (e.g., code samples, execution state - props to DevinAI for famously console.logging itself). This inspired me to push the idea further and create CaptureFlow. This tool equips your coding LLM with a debugger-level view into your Python apps, via a simple one-line decorator. Such detailed tracing improves LLM coding capabilities and opens new use cases, such as auto-bug fix and test case generation. CaptureFlow-py offers an extensible end-to-end pipeline…
2024 · github.com
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As developers, we've used StackOverflow, blogs, tutorials, etc to solve our day-to-day code issues and we've been able to find answers to virtually all of our questions. At the same time, CodePen, CodeSandbox, JSFiddle, etc have made it simple to share and execute code for frontend developers but when I look for folks working at the backend side (preferably Python) there is nothing that entices the whole developer community yet. While other Python sandbox solutions are available, they do not provide installation choices or are not intended for embedding and sharing. With this thought, we…
2022 · pythonsandbox.dev
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A while ago I started experimenting with compiling the Python interpreter to WASM. To build a secure, fast, and lightweight sandbox for code execution — ideal for running LLM-generated Python code.
2024 · github.com
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Hey HN community, I'm excited to share Starfyre, a cutting-edge library that enables you to create front-end applications by leveraging the power of Python. It's perfect for those who love Python and want to extend its capabilities to frontend development. Key Features: * Reactive Frontend Development: Starfyre allows you to build reactive frontends using only Python. This means you can create highly interactive and real-time applications with ease. * Effortless Interactive Application Creation: With Starfyre, the process of creating interactive applications becomes straightforward. You…
2023 · github.com
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Hi HN, I built Weft over the last two weeks of Christmas break. I was teaching my kids Python and noticed the lack of interactivity in some of their learning experiences. The feedback loop was too long. I wanted to provide them with an experience similar to Bret Victor's concepts on Learnable Programming; i.e. an easier way to learn is to see immediately the reaction to your actions. Hence the reactivity ;) It is currently in early alpha and I’m planning to open-source the repo under AGPLv3 soon once I clean up the prototype code. I wrote up a short blog post with more details on the "Why"…
Jan 2026 · play.weft.sh
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Hello :) Here is a tool with the following elevator pitch: In order to keep code and documentation synchronized and avoid outdated code snippets, generate test files from markdown snippets, or even interpret them directly. Curious for comments and feedbacks !
2024 · github.com
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The magic in AI coding assistants isn't the code -- it's the prompts. I studied the externally observable behavior of Claude Code and recreated it from scratch in Python with the exact same behaviors. It works with any model -- OpenAI, Gemini, Claude. What's surprising: 1. You can keep the core agent really simple, just 280 lines of Python. As long as it supports hooks, custom sub-agents and Model Context Protocol (MCP), then all the rest of the coding-assistant-specific behavior and tools can be factored out into a separate MCP server. 2. The magic is in the prompts (1200 lines of…
2025 · github.com
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As a beginner learning to build ML models, I found it annoying to have to keep printing tensor shapes every other line, having to step through the debugger to check where did I mess up the shapes again. So I built Trickle, it takes the data that flows through your code, caches the types and display them inline (as if you have type annotations). The idea is: "Let types trickle from runtime into your IDE". You get types in Python without having the write them manually. It works by rewriting your Python AST at import time — after every variable assignment, it inserts a lightweight call that…
Mar 2026 · github.com
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Recently, I saw few Python accelerators getting a lot of attention, and I thought it would be a good time to finally present the project that we will make available to test in the upcoming days. Flyable is an ahead-of-time compiler that takes your Python code, analyses it, and outputs very optimized machine code. Micro-benchmarks show that it produces programs that run between 10-70x time faster than Python. Flyable is certainly one of the fastest and easiest ways to accelerate your Python code. It finally allows Python to compete in the ring of fast and efficient languages without having to…
2020
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Nov 2025 · getpynote.net
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