dstack – an open-source tool to build data applications easily
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…
dstack – an open-source tool to build data applications easily launched on August 12, 2020 with 134 votes, #235 of 3,833 launches that month and more than 95% of that year's launches.
In plain words
Dstack is an open-source tool that lets data scientists publish visualizations and data artifacts from Python or R code without requiring additional programming or front-end development. Users can invoke code from Jupyter notebooks, RMarkdown, Python, or R scripts, then access the published results through a browser. It supports multiple data science frameworks including matplotlib, Plotly, pandas, and TensorFlow models.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
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…
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Hi HN, Over the past 6 months I've been working on a technical book focused on helping aspiring data scientists to get hands-on experience with cloud computing environments using the Python ecosystem. The book is targeted at readers already familiar with libraries such as Pandas and scikit-learn that are looking to build out a portfolio of applied projects. To author the book, I used the Leanpub platform to provide drafts of the text as I completed each chapter. To typeset the book, I used the R bookdown package by Yihui Xie to translate my markdown into a PDF format. I also used Google docs…
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