Projects sharing features with Zeppelin

Kotlin Jupyter is an interactive computing environment that enables the execution of Kotlin code within Jupyter notebooks. It functions as a kernel for the Java Virtual Machine, providing a platform for data analysis, rapid prototyping, and scientific computing research. The system manages the evaluation of code snippets by compiling them dynamically at runtime, allowing for real-time interaction and variable inspection. The project distinguishes itself through a sophisticated code transformation pipeline that intercepts and modifies user input to support custom syntax and automated logic. It

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

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

Gophernotes is a backend implementation of the Jupyter kernel protocol and an interactive runtime that enables the execution of Go language code within notebook environments. It serves as a Go language execution engine, allowing users to integrate Go into polyglot notebooks such as Jupyter and nteract. The project supports the creation of documents that combine executable source code with rich media. It maps internal data types to various formats, including HTML, JSON, LaTeX, PDF, and images, to provide visual representations of execution results. The system covers a range of capabilities in

Jupyter Book is a computational book publisher and static site generator that converts Jupyter notebooks and markdown files into interactive web books and publication-quality PDF documents. It serves as a markdown-based documentation tool that executes embedded code at build time and caches the resulting outputs for static display. The system distinguishes itself by supporting interactive data publications, allowing readers to engage with live computational widgets and launch notebooks in remote execution environments. It extends standard markdown with a system of roles and directives to supp

This repository is a collection of reference implementations and distributed data processing algorithms implemented in Java and Scala for cluster computing frameworks. It provides computational recipes for solving complex data processing problems, including large-scale dataset joins, aggregations, and word count tasks. The implementations cover both MapReduce paradigms and Apache Spark integrations, enabling programmatic job submission and execution across distributed node infrastructures. The collection includes specialized utilities for statistical analysis and text processing, such as data

whodb is a multi-database management interface and notebook client designed for exploring and managing data across various engines, including Postgres, MySQL, MongoDB, and Redis. It functions as a graphical interface for managing database connections, records, and schemas through a unified layer. The project features a natural language query interface that uses large language models to translate plain English into executable SQL or NoSQL queries. This is supported by schema-aware prompting that injects database metadata into the model context to ensure generated queries match actual table def

This project is a collection of transformer natural language processing tutorial notebooks and educational resources. It provides a guide for using the Hugging Face Transformers library through interactive coding exercises and demonstrations. The repository contains ready-to-run Jupyter notebooks that provide practical examples for implementing transformer models. These resources demonstrate how to execute specific natural language processing workflows using pre-trained models. The notebooks cover a range of natural language processing tasks, including text classification, automatic text sum

Briefer is an interactive data notebook platform and business intelligence dashboard tool used for collaborative data analysis and reporting. It provides a containerized environment for building reports that combine SQL, Python, and Markdown with native visualizations. The platform features an integrated code assistant that uses large language models to generate SQL and Python snippets from natural language prompts. It is designed as a Kubernetes data application, deploying via Helm charts to manage isolated compute environments and ensure separate resources per page through pod-based isolati

Davinci is a business intelligence and data visualization platform used for building interactive dashboards and reports. It functions as a SQL-based dashboard builder and multi-tenant analytics service that connects to databases via JDBC and CSV files to transform raw data into visual components. The platform is distinguished by its granular security model, which includes row-level and column-level permissions integrated with LDAP and OAuth2 authentication. It also provides an embedded visualization tool that allows secure, parameterized charts and dashboards to be inserted into external appl

Level is a database library that provides a unified interface for managing sorted key-value data. It functions as an abstraction layer that allows applications to store and retrieve binary information consistently across server-side environments and web browsers. The project utilizes a modular architecture that supports pluggable storage backends, enabling the system to adapt to different host environments while maintaining identical behavior. By organizing data in lexicographical order, it facilitates efficient range queries and ordered retrieval. The library handles large datasets through a

Waterline is an adapter-based database library and object relational mapper for Node.js. It serves as a multi-database persistence layer that translates standard method calls into specific queries for both SQL and NoSQL databases. The library provides a unified interface for managing data across different stores, including MySQL, PostgreSQL, MongoDB, and Microsoft SQL Server. This architecture allows for the integration of multiple database backends within a single application and facilitates database vendor migration by changing adapters without altering business logic. The project covers r

js-git is a modular JavaScript implementation of the Git protocol and object model. It provides a content-addressable storage engine that manages blobs, trees, and commits using cryptographic hashes, allowing version control functionality to operate without external system dependencies. The project features a pluggable repository interface and storage layer, enabling Git data to be persisted across diverse mediums such as browser databases or local file systems. It includes a streaming packfile processor for packing and unpacking objects to facilitate efficient data transfer. The library cov

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

myDrive is a self-hosted cloud storage server and web-based file manager. It functions as an encrypted file storage system that allows users to host and manage personal documents and media on their own hardware. The system acts as a multi-backend storage gateway, capable of routing file data to various locations including local disks or remote cloud storage buckets. It uses a document database to manage file metadata, folder structures, and user organization. The platform provides capabilities for uploading and downloading files, organizing content through a trash system, and sharing private

Feast is an open-source feature store for machine learning that provides a central platform for defining, storing, and serving features across both training and inference workflows. It operates as a declarative system where feature definitions are written as code in Python files, synchronized to a central registry, and made available for low-latency online retrieval or point-in-time correct historical joins for training datasets. The project abstracts storage behind a pluggable architecture, allowing offline and online backends to be swapped without changing retrieval logic, and coordinates ma

Alluxio is a virtual distributed file system and data orchestration layer that serves as a high-performance caching layer between cloud storage and compute clusters. It acts as a distributed data cache designed to accelerate data access for large-scale analytics and machine learning workloads. The system provides a unified interface that presents multiple heterogeneous storage backends as a single coherent namespace. This allows for the unification of diverse storage systems, enabling computation engines to access data from different providers without changing application code. The project c

Incus is a unified orchestration platform for managing system containers, OCI application containers, and virtual machines through a single control plane. It brings together cluster infrastructure management, secure multi-tenancy, software-defined networking, and pluggable storage backend orchestration into one cohesive system exposed via a full REST API and command-line interface. What distinguishes Incus is its ability to run multiple instance types side by side—full Linux system containers, OCI application containers, and QEMU virtual machines—all managed with consistent tooling. Networkin

Certmagic is a Go library for automating the issuance and renewal of TLS certificates. It functions as an automatic HTTPS provisioner and ACME client that handles the full lifecycle of certificates to ensure secure connectivity without manual intervention. The library is distinguished by its support for on-demand TLS provisioning, which generates certificates dynamically during the TLS handshake based on the server name. It also provides automation for wildcard certificates through DNS challenge verification and integrates with the ZeroSSL API for certificate acquisition. The project covers

Cronicle is a distributed job scheduler that replaces traditional cron with a browser-based management interface. It runs scheduled tasks across a cluster of servers with automatic failover, using a custom cron parser that intersects day-of-month and day-of-week constraints when both are specified. The system executes jobs through a plugin framework that runs command-line scripts in any language, communicating via JSON over standard input and output. The scheduler provides a web-based real-time dashboard for monitoring running jobs with live logs, resource usage charts, and progress updates.

Dinky is a real-time data platform for developing, deploying, and operating streaming applications based on Apache Flink. It functions as a SQL streaming IDE and a real-time data pipeline orchestrator, providing a web-based environment for writing and verifying queries with integrated logic plan visualization and lineage tracking. The platform acts as a distributed cluster manager, allowing the registration, monitoring, and administration of multiple processing clusters from a centralized interface. It also serves as a change data capture integration tool, synchronizing real-time database cha

gopass is a terminal-based password manager and GPG secret store used for generating, storing, and retrieving encrypted credentials. It functions as a collaborative secret manager that encrypts data using GPG or age and synchronizes it across devices and teams using Git. The system distinguishes itself by treating version control repositories as the primary storage backend, enabling secure secret sharing and version history for credentials. It utilizes a hierarchical directory structure to organize secrets on the filesystem and supports multi-store mounting to combine multiple independent rep

This project is a learning curriculum and programming guide for Apache Spark, providing a structured set of educational resources and practical code examples for mastering distributed data processing. It serves as a course for building scalable data workflows and big data engineering pipelines. The repository provides practical source code and project layouts that demonstrate how to connect external data stores, process streaming data, and organize code for distributed environments. It includes implementation examples for scaling machine learning algorithms across clusters to handle large tra

Imagor is a high-performance image processing server and Go library that functions as an on-demand image proxy. It provides a secure transformation API for resizing, filtering, and optimizing images, as well as a tool for generating static thumbnails from video files. The system distinguishes itself by using a demand-driven processing engine to handle large images without loading entire files into memory. It features cryptographic request signing to prevent unauthorized URL tampering and employs header-based format negotiation to automatically serve the most efficient image format supported b

x-render is a configuration-driven UI framework and low-code interface builder that transforms structured data definitions into functional user interface components. It operates as a JSON-driven UI generator, using a standardized configuration protocol to render data tables, input forms, and charts. The system includes a visual form builder and interface design editor, allowing users to arrange layouts and configuration settings through a graphical interface to avoid writing manual structural code. This process is supported by a schema-based component library that maps configuration keys to a

Dkron is a distributed, fault-tolerant system designed for scheduling and executing recurring tasks across a cluster of nodes. It functions as a cron-based orchestrator that manages job lifecycles, including automatic retries, timeouts, and complex dependencies, while ensuring state consistency through a consensus protocol. By coordinating remote task execution across infrastructure, it enables the automation of background operations and the management of distributed workflows. The system distinguishes itself through a modular architecture that supports pluggable storage backends and a plugin

CodiMD is a real-time collaborative markdown editor and self-hosted knowledge base. It provides a shared workspace where multiple users can write and format notes using markdown syntax simultaneously. The platform extends basic editing by transforming markdown content into interactive mind maps for data visualization and structured visual slides for presentations. It functions as an OAuth compatible note server, integrating with external identity providers to manage user authentication and access control. The system supports self-hosting and cloud platform deployment, allowing users to maint