Dev tools · September 19, 2022
Redframes, a Python data manipulation library like dplyr
General Purpose Data Manipulation Library. Contribute to maxhumber/redframes development by creating an account on GitHub.
Redframes, a Python data manipulation library like dplyr launched on September 19, 2022 with 8 votes, #1,076 of 3,464 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 4 years on.
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Dplython, dplyr data manipulation for python2016 · github.com · ▲11dplyr for python. Contribute to dodger487/dplython development by creating an account on GitHub.
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Hamilton, a Microframework for Creating Dataframes2021 · github.com · ▲64A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton - stitchfix/hamilton
- DFDisk.frame, a larger-than-RAM data manipulation package2019 · diskframe.com · ▲6
A disk-based data manipulation tool for working with large-than-RAM datasets. Aims to lower the barrier-to-entry for manipulating large datasets by adhering closely to popular and familiar data manipulation paradigms like dplyr verbs and data.table syntax.
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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…
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Source: Show HN post ↗
Launched alongside, September 2022
the whole month →- IM
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A couple of years ago, I had an interesting idea. What if there was a marketplace where all the underlying tech was open-source? The order management system, the storefront, customer support, etc. The marketplace would simply connect to the seller’s infra instead of locking them in. If, for some reason, the seller is removed from the marketplace, their software stays with them and they can continue accepting orders directly. This model can be used to disrupt any marketplace from AirBNB to UberEats: building tech for home renters and restaurants and later, leveraging that to build a competing…
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