Alternatives
Products that do what Satta does
A note taking tool where developers can run Python scripts
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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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2012 · pytools.codeplex.com
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2017 · github.com
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2019 · github.com
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2015 · spacy.io
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Hi fellow HNers, We just opened up Bitdeli for free public beta at https://bitdeli.com Bitdeli allows you to process real-time data with plain Python scripts and access the results over a friendly HTTP API. You can use it to create live visualizations and dashboards without having to worry about servers. See examples here: http://bl.ocks.org/2009621 and http://bl.ocks.org/1983818 We would love to hear your feedback and comments!
2012
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2015 · workerbee.tonkworks.com
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I've implemented a small web app — (a hassle-free hosting for markdown pages) entirely in Clojure and here is what I think: http://notehub.org/2012/6/16/how-notehub-is-built The app itself: http://notehub.org GitHub: http://github.com/chmllr/NoteHub
2012
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Hey folks, I just wanted to share a quick script I threw together called notational ls. One of the big problems of any code base (or any filesystem) is that it's hard to tell what's what - folder and file names often trade brevity for clarity. So I thought about a version of `ls` that works like this: > nls web: Where python web server files are stored ad_hoc: One time scripts ios: Our IOS code images Adding descriptions is really easy too: > nls images Images SHARED between both ios and web web: Where python web server files are stored ad_hoc: One time scripts ios: Our IOS code…
2011
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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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As a software engineer, my reflex has always been to script everything I can. Scripting is easy, but everything around it is tricky: scripts have to run somewhere, they need access to credentials, they need to be monitored. None of it is simple. No-code automation platforms such as Zapier or IFTTT are too restrictive for technical tasks; CI/CD platforms make it easy to script tasks related to a repository, but are limited when trying to do anything else. I wanted the low level control you have when writing scripts while retaining the comfort of a platform managing execution for me. So I…
2022 · exograd.com
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Read an article about analyzing Garmin data with AI. Sounded great — except I didn't want to send my health data to any cloud service. So I asked Claude to write me 2-3 scripts and a dashboard. This escalated a bit. 30 days and 20$ later I have this: A local-first Garmin archive with interactive HTML dashboards, Excel exports, weather and pollen context, AES-256 encrypted token storage, and a self-healing data pipeline with 515 automated tests. Windows desktop app, no terminal needed. Nothing leaves your machine. I never wrote a line of Python. I understood the problems and made the…
Apr 2026 · github.com
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2012 · blog.fruiapps.com
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2022 · pythonjob.xyz
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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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