Ci

Ciaren – Visual data pipelines that export real Polars/Python

Hacker News

Ciaren – Visual data pipelines that export real Polars/Python

Hi HN, I built Ciaren, an open-source visual workflow tool for Python data pipelines. You can build a pipeline visually, run it locally, and export the resulting workflow as real Python/Polars/Pandas code. I built it because I wanted the convenience of a visual workflow without sacrificing readable, portable code or relying on a proprietary runtime. I'm particularly interested in feedback from Python/data engineers: does this abstraction actually make sense, or is it more useful to just write the Polars code directly? GitHub: https://github.com/ciaren-labs/Ciaren

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3points
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Product HuntOn track for Day 1 leaderboard · Strong signals: visual, code, open · Missing: mac, agents, macos
80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: pipe, io · Missing: https docs, excited, just released
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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