Open-source Back-end, self-hostable & ready to use - Real-time, storage, advanced search - Web, Apps, Mobile, IoT -
Top DATA GitHub Repositories & Tools (2026)
Discover the most starred and trending open source tools tagged with #data.
Machine learning with dataframes
Encyclopedia of Unicode characters
๐พ AI-native Visual Analytics framework build for agents.
PHP Standard Library
Aggregate results from bioinformatics analyses across many samples into a single report.
Node.js database migration management for PostgreSQL
Hop Orchestration Platform
An active model wrapper for the Neo4j Graph Database for Ruby.
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 385 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
Scalable, reliable, distributed storage system optimized for data analytics and object store workloads.
A Rails engine for queueing and managing data migrations.
A package that lets you create TradingView screeners in Python
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
A Swift SDK for Supabase. Query your Supabase database, subscribe to realtime events, upload and download files, browse Swift examples, invoke postgres functions via rpc, invoke supabase edge functions, query pgvector.
dbt adapter for SQL Server and Azure SQL
FlowDroid Static Data Flow Tracker
scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.
SirixDB is an an embeddable, bitemporal, append-only database system and event store, storing immutable lightweight snapshots. It keeps the full history of each resource. Every commit stores a space-efficient snapshot through structural sharing. It is log-structured and never overwrites data. SirixDB uses a novel page-level versioning approach.