Open-source alternatives to Deepnote

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

This library is a data processing framework for the JVM that provides a type-safe environment for manipulating structured tabular data. It functions as a comprehensive toolset for performing complex data transformations, aggregations, and statistical analysis, while leveraging compile-time schema validation to ensure structural integrity across data pipelines. The project distinguishes itself through its deep integration with interactive notebook environments and its use of compile-time code generation. By automatically deriving and enforcing schemas from raw inputs, it generates type-safe ac

README file generator, powered by AI.

GrowthBook is a feature flagging and experimentation platform that utilizes a warehouse-native approach to data analysis. It serves as a system for managing feature rollouts and conducting A/B tests by executing SQL queries directly against existing data warehouses to calculate experiment results. The platform is distinguished by its integration of a Model Context Protocol server, which allows AI coding assistants and IDEs to manage flags and query analytics using natural language. It also provides specialized capabilities for AI model optimization, enabling the testing of prompts and models

Puter is a browser-based desktop environment and cloud-native development platform that provides a virtualized graphical workspace. It enables developers to build and deploy full-stack web applications by integrating cloud storage, authentication, and serverless backend logic directly into the browser, eliminating the need for traditional server infrastructure. The platform distinguishes itself through a unified cloud storage layer and a distributed network runtime that facilitates peer-to-peer communication and cross-origin resource fetching. It features a sophisticated cross-window orchestr

Edalitcs

This project is a browser-based interactive computing environment and data science IDE. It serves as a literate programming tool that allows users to create documents combining live code, mathematical equations, visualizations, and narrative text. As a polyglot notebook interface, it connects to various language kernels to execute code and render output within a single interface. The application distinguishes itself by separating the frontend interface from a remote compute engine through a language-agnostic kernel interface. This allows it to support multiple programming languages while main

Best-of Jupyter

Jupytext is a synchronization tool and text converter for Jupyter Notebooks. It transforms notebook files into plain text formats, such as Markdown or Python scripts, to enable line-by-line diffs and peer reviews within version control systems. The tool pairs notebook files with corresponding text files to maintain a dual representation of the same content. It uses bidirectional synchronization to update linked files based on the most recent modifications, allowing notebook content to be edited inside standard text editors. Beyond file conversion and synchronization, the project provides cap

Nanobrowser is an AI browser automation tool and Chrome extension that uses large language models to execute complex, multi-step web workflows through a natural language interface. It functions as a multi-agent workflow orchestrator, coordinating specialized AI agents to plan strategies and interact with page elements to complete tasks. The system emphasizes local-first operations, acting as a local API manager that stores provider credentials and executes data processing within the browser to keep sensitive information and keys out of external servers. It utilizes a provider-agnostic API bri

This project is an artificial intelligence-powered frontend generator that translates visual design inputs into functional source code. It functions as a workflow engine that interprets graphical user interfaces, mapping layout structures and styling rules to structured markup and programming language syntax. The tool distinguishes itself by supporting both static design mockups and dynamic video recordings. It processes temporal and spatial information from screen captures to reconstruct interaction flows and state transitions, enabling the creation of functional software prototypes from vis

Official repository for Open Web Analytics which is an open source alternative to commercial tools such as Google Analytics. Stay in control of the data you collect about the use of your website or app. Please consider sponsoring this project.

PDFMathTranslate is a document translation tool designed to convert technical and scientific files into multiple languages while preserving their original visual layout. It functions as a specialized processor for academic research papers, ensuring that complex mathematical notation and technical formatting remain intact throughout the translation process. The system utilizes a layout-preserving parsing engine that extracts text and structural metadata while maintaining the spatial coordinates of every document element. To handle the translation of technical content, it employs an intermediat

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

Polynote is a polyglot notebook environment and interactive document system designed for executing code in multiple languages within a single document. It functions as a cross-language data analysis tool and a JVM language IDE, allowing users to combine executable code, rich text, and data visualizations to prototype and document technical workflows. The system is distinguished by its ability to share data and variables between different language runtimes, such as Python and the JVM. It uses cross-language object conversion and data wrapping to pass objects between runtimes, enabling multi-la

Positron is a data science integrated development environment and AI-powered code editor designed for polyglot development, specifically supporting Python and R. It functions as a remote compute workspace that separates the user interface from the execution kernel via SSH or container integration. The environment features a deep integration of large language models that provide context-aware suggestions and automated data analysis by accessing real-time interpreter state, in-memory objects, and plot outputs. It distinguishes itself through a polyglot runtime bridge that enables cross-language

rmarkdown is a dynamic document generator and markdown rendering engine used to create reproducible reports, analysis, and websites. It functions as a literate programming tool that weaves narrative text with live executable code and data, ensuring that visual results are tied directly to the source code. The project serves as a multi-format rendering engine and content publisher, utilizing a Pandoc-based conversion framework to transform a single source file into diverse outputs such as PDFs, HTML pages, and presentation slides. It integrates with Knitr to execute code blocks and capture out

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

Documents with Scientific Intelligence

bamboolib - a GUI for pandas DataFrames

AFFiNE is a collaborative knowledge base and productivity suite designed as a private-first, local-first platform. It provides an integrated workspace that combines structured documents with an infinite digital canvas, allowing users to organize complex information through a block-based model. By prioritizing local data persistence, the platform ensures immediate responsiveness and data sovereignty while maintaining a distributed state for real-time synchronization across multiple devices. The platform distinguishes itself through a canvas-integrated database engine that enables transitions b

A repository of 60 useful data science prompts for ChatGPT

Voilà is a tool that converts Jupyter notebooks into standalone interactive web applications. It renders notebook cells as HTML web components, preserving live widgets while stripping source code by default, and gives each viewer a dedicated Jupyter kernel for isolated widget state and callback execution. The project runs as a Jupyter server extension, reusing existing server infrastructure for notebook serving and authentication. It supports directory-based notebook hosting, serving all notebooks in a folder as a browsable collection of web applications from a single command. Voilà also prov

This project is an exploratory data analysis framework and profiling tool designed to generate comprehensive statistical reports from Pandas and Spark DataFrames. It functions as a data quality profiler that identifies missing values, duplicates, and high correlations within tabular datasets. The tool distinguishes itself through specialized capabilities for time-series analysis, extracting temporal statistics, seasonality, and auto-correlation plots. It also includes a dataset comparison utility to identify structural or content changes between different versions of a dataset. The analysis

Papermill is a Jupyter notebook execution engine and parameterization framework designed to run notebooks programmatically. It allows users to inject custom input values into notebooks to execute the same logic across different datasets, transforming interactive notebooks into reproducible data science pipelines. The project functions as a language-agnostic notebook runner and orchestrator, supporting kernels for Python, R, Julia, and Scala. It is distinguished by its cloud-integrated runner capabilities, featuring built-in handlers to read and write notebooks directly to storage providers su

Apache Zeppelin is a web-based notebook platform for interactive data analytics that supports executing code in over 20 languages within a single notebook. It provides a plugin-based interpreter architecture that allows the notebook to be extended with new languages and data sources, and includes a JDBC connector abstraction for connecting to any JDBC-compliant database. The platform also features session-isolated interpreter contexts, enabling separate interpreter instances per notebook or user with support for dependency injection and user impersonation. The platform distinguishes itself th