awesome-repositories.com
ब्लॉग
awesome-repositories.com

AI-संचालित खोज के साथ बेहतरीन ओपन-सोर्स रिपॉजिटरी खोजें।

एक्सप्लोर करेंक्यूरेटेड खोजेंओपन-सोर्स विकल्पसेल्फ-होस्टेड सॉफ्टवेयरब्लॉगसाइटमैप
प्रोजेक्टहमारे बारे मेंहम रैंकिंग कैसे करते हैंप्रेसMCP सर्वर
कानूनीगोपनीयताशर्तें
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
deepnote avatar

deepnote/deepnote

0
View on GitHub↗
2,930 स्टार्स·197 फोर्क्स·TypeScript·Apache-2.0·3 व्यूज़deepnote.com/?utm_source=github&utm_medium=github&utm_campaign=github&utm_content=readme_main↗

Deepnote

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/

Features

  • Data Exploration - AI-native workspace for collaborative data teams.
  • General Analytics - Collaborative, AI-native data workspace for modern data teams.
  • Interactive Notebooks - Provides an AI-first, collaborative replacement for Jupyter notebooks.
  • Data Science Environments - AI-native notebook platform with real-time collaboration.

स्टार हिस्ट्री

deepnote/deepnote के लिए स्टार हिस्ट्री चार्टdeepnote/deepnote के लिए स्टार हिस्ट्री चार्ट

AI सर्च

और अधिक बेहतरीन रिपॉजिटरी खोजें

अपनी ज़रूरत को सरल भाषा में बताएं — AI हजारों क्यूरेटेड ओपन-सोर्स प्रोजेक्ट्स को प्रासंगिकता के आधार पर रैंक करता है।

Start searching with AI

Deepnote के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो Deepnote के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।
  • marimo-team/marimomarimo-team का अवतार

    marimo-team/marimo

    21,468GitHub पर देखें↗

    Marimo is a reactive Python notebook environment and data science integrated development environment. It functions as a scripting tool that maintains state consistency by automatically tracking variable dependencies and re-executing downstream code blocks whenever upstream inputs are modified. The platform distinguishes itself by storing notebooks as standard, portable Python scripts rather than proprietary formats, ensuring compatibility with version control systems. It integrates artificial intelligence to assist with code generation and debugging based on the current execution context, whi

    Pythonartificial-intelligencedagdata-science
    GitHub पर देखें↗21,468
  • yhat/rodeoyhat का अवतार

    yhat/rodeo

    3,893GitHub पर देखें↗

    Rodeo is an interactive Python notebook environment and integrated development environment designed for data science. It provides a workspace for combining executable code, rich text, and data visualizations within a single document to manage the lifecycle of research scripts. The platform facilitates data science workflow management, covering the process from initial data exploration to final model execution. It supports the development of Python scripting environments tailored for data analysis, modeling, and iterative hypothesis testing. The system utilizes a cell-based document structure

    JavaScript
    GitHub पर देखें↗3,893
  • velocidex/velociraptorVelocidex का अवतार

    Velocidex/velociraptor

    3,769GitHub पर देखें↗

    Velociraptor is a digital forensics and incident response platform, endpoint detection and response system, and visibility tool. It provides a query engine and remote forensic collector used to hunt for indicators of compromise and perform triage across a fleet of hosts. The system is distinguished by its specialized query language for interrogating host state and parsing binary files. It features a notebook environment that combines markdown documentation with executable query cells to standardize investigative workflows and enable collaborative reporting. The platform covers a wide range o

    Godigital-forensicsendpoint-discoveryendpoint-protection
    GitHub पर देखें↗3,769
  • vaexio/vaexvaexio का अवतार

    vaexio/vaex

    8,506GitHub पर देखें↗

    Vaex is a high-performance Apache Arrow DataFrame library and out-of-core data processing engine designed to handle billion-row tabular datasets in Python. It functions as a lazy evaluation framework that defers computations and transformations until results are required, enabling the processing of datasets that exceed available system RAM by mapping files directly from disk. The project distinguishes itself as a tool for big data visualization and exploration, specifically integrated for use within interactive notebooks. It provides specialized capabilities for machine learning feature engin

    Python
    GitHub पर देखें↗8,506
Deepnote के सभी 30 विकल्प देखें→

अक्सर पूछे जाने वाले प्रश्न

deepnote/deepnote क्या करता है?

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/

deepnote/deepnote की मुख्य विशेषताएं क्या हैं?

deepnote/deepnote की मुख्य विशेषताएं हैं: Data Exploration, General Analytics, Interactive Notebooks, Data Science Environments।

deepnote/deepnote के कुछ ओपन-सोर्स विकल्प क्या हैं?

deepnote/deepnote के ओपन-सोर्स विकल्पों में शामिल हैं: marimo-team/marimo — Marimo is a reactive Python notebook environment and data science integrated development environment. It functions as… yhat/rodeo — Rodeo is an interactive Python notebook environment and integrated development environment designed for data science.… velocidex/velociraptor — Velociraptor is a digital forensics and incident response platform, endpoint detection and response system, and… kotlin/dataframe — This library is a data processing framework for the JVM that provides a type-safe environment for manipulating… vaexio/vaex — Vaex is a high-performance Apache Arrow DataFrame library and out-of-core data processing engine designed to handle… eli64s/readme-ai — README file generator, powered by AI.