Awesome GitHub RepositoriesVisual Data Management Views

NocoDB is a visual platform that transforms relational databases into collaborative, spreadsheet-style workspaces. By acting as a headless database backend, it provides a unified environment for designing database structures, managing record relationships, and interacting with data without requiring manual SQL queries. The platform normalizes interactions across various SQL and NoSQL data sources, allowing users to manage complex datasets through a centralized interface. The project distinguishes itself by automatically generating RESTful and GraphQL APIs from existing database schemas, enabl

Teable is a self-hosted relational data management tool and no-code PostgreSQL database. It provides a spreadsheet-like interface for managing and querying structured data, allowing users to interact with a professional database backend without writing manual SQL for every operation. The platform is an extensible low-code system that allows for the integration of custom plugins and extensions through a dedicated application bridge and marketplace. It enables the creation of tailored internal tools by adding new features or modifying behavior via these external extensions. The system covers a

This platform is a low-code database system that combines the flexibility of a spreadsheet interface with the structured power of a relational database. It serves as a collaborative workspace for managing complex datasets, building custom business applications, and automating operational workflows without requiring traditional software development. The platform distinguishes itself through deep integration of artificial intelligence, which enables users to query databases using natural language, generate content, and deploy custom conversational agents trained on internal data. It supports re

Hub is a multimodal AI data lake and vector database designed for storing and querying embeddings, text, audio, and images. It functions as a dataset version control system and a machine learning data streaming engine to support large-scale model training. The system utilizes a serverless PostgreSQL vector store to index high-dimensional embeddings for semantic search. It provides a visual interface for inspecting multimodal datasets and viewing annotations such as bounding boxes and masks. The platform handles cloud-agnostic storage synchronization and implements lazy, compressed data strea

DeepLake is AI data infrastructure consisting of a multimodal data lake, a hybrid search engine, and a serverless vector database. It provides a PostgreSQL-based AI data runtime that combines multimodal storage with streaming pipelines to load and shuffle datasets from cloud storage directly into deep learning training pipelines. The system utilizes lazy indexing to store and slice images, audio, and video without loading entire files into memory. It enables retrieval-augmented generation by persisting high-dimensional embeddings in a serverless vector store and implementing hybrid search tha

SO-ARM100 is an open-source robot arm hardware project providing 3D-printable designs and assembly guides for building affordable robotic arms. It includes calibration software to synchronize motor communication parameters and arm positions via USB, alongside hardware designs for tactile sensing robotic grippers. The project distinguishes itself through the integration of touch-sensing and flexible filaments for adaptive grasping. It also provides a dedicated imitation learning dataset tool, featuring a web interface for labeling and visualizing robotics data to train machine learning models

Magic est un environnement de productivité tout-en-un et une plateforme d'agents conçue pour déployer, orchestrer et gérer des workflows multi-agents. Il fonctionne comme un système de coordination qui répartit les tâches complexes à des agents spécialisés, servant à la fois de moteur de workflow et de système de gestion des connaissances qui synthétise les informations provenant de PDF, de sites web et de bases de données en assets numériques structurés. La plateforme se distingue par une suite de contenu multimodale capable de générer des livrables professionnels, incluant des assets graphiques haute fidélité, des diagrammes techniques et des présentations. Elle intègre une couche de routage qui fait correspondre des objectifs spécifiques au modèle de langage le plus approprié et permet la création de nouvelles capacités via des interfaces conversationnelles et des intégrations d'écosystèmes de compétences externes. Les domaines de capacités étendus incluent la gestion des connaissances en entreprise, où les données internes sont converties en travailleurs IA réutilisables, et une gestion complète des coûts avec un suivi budgétaire granulaire aux niveaux des départements et des utilisateurs. Le système fournit également un environnement collaboratif pour le partage de projets en temps réel et un framework de sécurité incluant une exécution en conteneur sandbox et des workflows d'approbation humaine pour les opérations à haut risque. La stack complète, incluant les clusters et les services, peut être installée sur des environnements macOS ou Linux privés en utilisant des scripts de déploiement automatisés.

Pigsty is a full-stack orchestration suite for deploying, monitoring, and managing high-availability PostgreSQL clusters and their supporting infrastructure. It functions as a cluster management platform and high-availability suite that automates failover, manages virtual IPs, and ensures data consistency through distributed consensus. The project distinguishes itself by providing a comprehensive database infrastructure-as-code framework and a dedicated observability stack. It incorporates a backup and recovery manager supporting point-in-time recovery via S3-compatible object storage, alongs

Baserow is a self-hosted, no-code relational database platform built on PostgreSQL. It provides a spreadsheet-like interface for structuring and managing data without writing code, while exposing all database resources via a REST API to support headless architectures. The platform distinguishes itself by integrating large language models and embedding servers to power AI assistants and automated data generation. It further extends its utility as a no-code application builder, allowing users to create custom internal portals, dashboards, and business tools using visual logic and managed data.