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Tag: Data science
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:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.

  • notebook-jupyter
  • notebooks-jupyter
  • notebook-application
  • notebook-publish

Python Toolkit for Causal and Probabilistic Reasoning

  • python
  • bayesian-networks
  • causal-inference
  • causal-discovery

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Rich-powered CLI that breaks each HTTP request into DNS, connect, TLS, wait, and transfer phases with waterfall timelines, compact summaries, or metrics-only output.

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

  • deep-learning
  • protein-sequences
  • protein-structure
  • semi-supervised-learning

An all-inclusive Python framework for the Riot Games League of Legends API. Cass focuses on making the data easy and fun to work with, while providing all the tools necessary to create a website or do data analysis.

  • league-of-legends
  • riot-games-api
  • champion-gg-api
  • python