Show HN: dstack – an open-source tool to build data applications easily Dear HN, I am Riwaj, the cofounder of dstack.ai (https://ift.tt/3amrgmi). 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 more open source data science frameworks than we integrated ourselves. For example, as a user, I want to push a matplotlib plot, a Tensorflow model, a plotly chart, a pandas dataframe, and I expect the presentation layer to fully-support it. Supporting all types of artifacts and providing all the tools to work with them solely seems to be a very challenging task. With this, we open-sourced the framework. Now you can build dstack locally, and run it on your servers, or in a cloud of your choice if that’s needed. More details on the project, how to use it, and the source code of the server can be found at the https://ift.tt/3fTKQqW repo. The client packages for Python and R are available at the https://ift.tt/33RCkXb and https://ift.tt/31YPmzN correspondingly. What’s next User callbacks: so that application shows not just pre-calculated visualizations but also can fetch data from a store and process it in real-time. ML models: so that data scientists can publish a stack which binds together a pre-calculated ML model and user parameters Use cases: Support specific use cases that help data scientists to build data science models into data applications as fast as possible. We would be happy to get your feedback on the open-source framework and also get your opinion on what kind of use cases can be built on top of the framework? Thank you. August 12, 2020 at 06:14PM
Show HN: Infstream – We’re trying to fix video monetization for creators TL;DR: https://ift.tt/2VFChrA Hi HN – we’re Ben & Callum from Infstream. We’ve always been heavy users of YouTube, for entertainment, education and sharing. Towards the end of last year, we saw more and more horror stories of YouTubers losing their livelihood to the ad algorithm. We decided to build a content-first video platform, which aims to reduce issues by removing advertisers from the equation. Instead, we charge for the content you watch – bold, I know. Instead of paying in advertising and data, users on Infstream build their own streaming package, a channel at a time. Anyone can start a channel (US & UK now, Europe soon) and earn directly from their subscribers. Subscribers pay $1 per month per channel, of which the channel receives $0.75. This all begins from the first subscriber, there are no minimums to start monetization. Channels have total control, and can publish on a daily, weekly or monthl...
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