Streamsync

What it does

Streamsync is an open-source framework for creating web-based data apps. Build user interfaces using a visual editor; write the backend code in Python. It's an alternative to Streamlit and Dash.

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  A local Python prototyping tool for Jupyter and Streamlit2023 · github.com · ▲65

  Hey HN! I built a local Python prototyping tool that is finally the Python development environment I've always wanted. It has a Jupyter notebook for data crunching, a database of your choice (Python or MongoDB), and a Streamlit app for building a frontend visualization. You can edit the Streamlit backend via an embedded VSCode editor, or locally on your own IDE. The best part for me is that the database connectors within Jupyter and Streamlit are configured out-of-the-box, so you don't need to spend time thinking about how to tie all that together - you can just pick the database you want to…

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  Taipy 3.02024 · ▲304

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• NC
  No-code in the front, Python in the back data apps – Streamsync2023 · streamsync.cloud · ▲6
• DA
  dstack – an open-source tool to build data applications easily2020 · ▲134

  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…

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