Alternatives
Products that do what PyRunner does
Python Automation in Jira
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2018 · docs.vespene.io
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2020 · pyrustic.github.io
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Save 30% of dev time - generate tests without writing code
2023
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2011 · jitouch.com
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Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…
2020
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I started writing this mostly for the Pi but ended up building it to support multiple Linux OSs. It's intended to be just that, a small dashboard providing real-time details on the usage. Still a work in progress and was done for fun, there's a demo as well :). MIT license. https://pydash.net or http://k3oni.github.io/pydash
2014
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Hello HN! I've been building this side project which is a task manager as simple and as powerful as I've been able to built it. It's specially thought for the tasks that you must complete at work, and you want to remember but you want to avoid all the bureaucracy of some TO-DO apps like JIRA. It's been quite a journey to build it. Its backend lives in Amazon Lightsail, and for now it's a Django app with a SQLite database. I'm quite surprised on how good SQLite has been performing on all the tests so far. The frontend it's a React app. Everything is pretty standard, but those are technologies…
2024 · wiseowl.cat
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# What is pyrig? pyrig is a package and tool that *rigs up* your project. It scaffolds and initializes a complete, fully configured, installed and working Python project with one command and makes the process of developing and maintaining it more seamless and efficient by automating things like configuration management, CLI generation, testing infrastructure, and more. # Requirements * Python 3.12+ * Git * uv # Quick Start uv init my-project --python 3.12 cd my-project uv add pyrig --dev uv run pyrig init See the [Getting Started…
26d ago · github.com
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Hi. :) I’m Andrey, the creator of dstack. I started this project while I was working at JetBrains where I helped the PyCharm team to improve support for Jupyter notebooks. As I was in close contact with many ML devs (who used PyCharm) I was able to see their struggle with running ML workflows. Unlike traditional dev workflows, ML workflows are difficult to run on a local machine (due to the lack of memory, more CPUs/GPUs, etc). This is why people often have to use remote machines (e.g. via SSH), or adopt one of the end-to-end MLOps platforms. Using remote machines is not difficult but…
2022 · github.com
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Hi HN! I recently built Neutrino Notebooks, an open source python library for compiling Jupyter notebooks into FastAPI apps. I work with notebooks a ton and typically find myself refactoring notebook code into a backend or some other python script. So, I made this to streamline that process. In short, it lets you: - Expose cells as HTTP or websockets endpoints with comment declaratives like `@HTTP` and `@WS` - Periodically run cells as scheduled tasks for simple data pipelines with `@SCHEDULE` - Automatic routing based on filename and directory structure, sort of similar to NextJs. - Ignore…
2023 · docs.neutrinolabs.dev
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