4 repository-uri
APIs and tools for performing CRUD operations and managing relational data models.
Distinguishing note: Focuses on programmatic schema and record manipulation, distinct from database administration tools.
Explore 4 awesome GitHub repositories matching data & databases · Data Management Interfaces. Refine with filters or upvote what's useful.
Twenty is a headless customer relationship management framework that enables developers to build, version, and deploy custom business applications using code. By utilizing a declarative approach to data modeling, the platform allows for the definition of custom objects, fields, and complex relationships directly within the source code. This schema-driven architecture automatically generates corresponding REST and GraphQL APIs, ensuring that data structures and interface components remain synchronized across development and production environments. The platform distinguishes itself through a m
Create, update, delete, search, or upsert records within a selected object by configuring fields and filter criteria to manage data throughout a workflow.
Voyager is a Laravel administration panel and PHP database manager that provides a web-based dashboard for managing application data and administrative user privileges. It functions as a BREAD CRUD manager, allowing users to browse, read, edit, archive, and delete database records through a graphical interface. The system enables database content management without the need to write custom controller code or execute raw SQL. It includes tools for role-based access control to define and manage administrative permissions, restricting access to backend tools based on assigned user roles.
Provides a graphical interface for performing CRUD operations and managing relational data models without writing custom code.
Helicone is an AI gateway and observability platform designed to intercept, manage, and monitor interactions with large language models. By acting as a reverse-proxy, it provides a centralized layer for routing requests across multiple AI providers, allowing developers to maintain consistent application logic while gaining deep visibility into model performance, usage, and costs. The platform distinguishes itself through a robust suite of traffic management and prompt engineering tools. It enables policy-driven control, including automatic failover between providers, rate limiting, and edge-b
Offers a programmable interface to export and manage stored request and session data for external processing.
lakeFS is a data lake versioning system that provides Git-like branching and commits for large datasets stored in object storage. It functions as a version control layer, enabling the creation of immutable snapshots, atomic commits, and zero-copy branching to create isolated environments for data experimentation without duplicating physical files. The system serves as an S3-compatible storage gateway and an Iceberg REST catalog, allowing standard cloud storage protocols and compatible clients to manage versioned tables. It acts as a data quality gatekeeper by using an event-driven hook system
Provides a programmatic interface and Pythonic conventions for managing versioned data.