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Repository Index
47,133 repositories indexed
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Streamlit — A faster way to build and share data apps.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
- machine-learning
- models
- ui
- ui-components
:memo: An awesome Data Science repository to learn and apply for real world problems.
Data Apps & Dashboards for Python. No JavaScript Required.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
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.
- notebooks
- python
- data-science
- machine-learning
Turns Data and AI algorithms into production-ready web applications in no time.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Next generation of automated data exploratory analysis and visualization platform.
- datamining
- visualization
- automated-visualization
- data-exploration
Java dataframe and visualization library
- dataframe
- data-frame
- java
- java-dataframe
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Visualize and compare datasets, target values and associations, with one line of code.
- pandas-dataframe
- eda
- pandas
- data-exploration
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/
React data visualization library for streaming, networks, and AI-assisted development
- nteract
- visualization
- d3
- react
Powerful Analytics Solution. Setup in 30 seconds. Display all your data on a Simple, AI-powered dashboard. Fully self-hostable and GDPR compliant. Alternative to Google Analytics, MixPanel, Plausible, Umami & Matomo.
No-code in the front, Python in the back. An open-source framework for creating data apps.
- data-apps
- data-visualization
- python
- websockets
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
- pandas
- pandas-summary
- dataframes
- data-science
Materials for GWU DNSC 6279 and DNSC 6290.
AI motion graphics for YouTube explainer videos: 74 animated HTML explainer boards (charts, diagrams, Venn, timeline, heatmap) synced to your voice with Whisper, exported frame by frame with Chrome + FFmpeg. Every prompt + Claude skills. By TEIN AI.
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
- epigenomics
- pattern-search
- data-visualization
- interactive-machine-learning
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
- parallel
- data-science
- go-echarts
- data-visualization
🗺️ 科研数据地图 — AI驱动的全球科研可视化平台 | Research Data Map with 250M+ papers
- academic
- ai
- china
- cloudflare-workers