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Copilot for Data Analysis, beyond an open-source alternative to Tableau

Hacker News

Copilot for Data Analysis, beyond an open-source alternative to Tableau

RATH is an open-source software for data exploration and visualization. It automates your workflow in data analysis. You can give RATH a CSV file and it will generates visualizations with insights and patterns automatically. It also has a data painter tool for more casual interaction with charts ( https://youtu.be/djqePNyhz7w ). It also has a lot of cool features like autovis, causal discovery, GPT integration, predictive interaction for text feature extraction, etc. Some of RATH’s components are also independent open-source project you might be interested: Like + Graphic Walker ( https://github.com/Kanaries/graphic-walker ): A lite embeddable component for visual analysis. + PyGWalker ( https://github.com/Kanaries/pygwalker ): turning your pandas dataframe into a Tableau-style User Interface for visual exploration. RATH is a collection of interesting ideas that we think the next generation of data analysis software should be, so there might be many features that not well organized to be a united app. Tell me which feature you prefer and which is not. Looking forward for your ideas and advice.

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, visual, 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: ide, io · Missing: https docs, excited, just released
66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive
39%39% 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
10%10% 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.

Correct prediction on native model

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