GoDS (Go Data Structures) - Sets, Lists, Stacks, Maps, Trees, Queues, and much more
- go
- golang
- data-structure
- map
47,133 repositories indexed
1–24 of 27 · Most stars
GoDS (Go Data Structures) - Sets, Lists, Stacks, Maps, Trees, Queues, and much more
Fancy stream processing made operationally mundane
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
lakeFS - Data version control for your data lake | Git for data
Privacy and Security focused Segment-alternative, in Golang and React
ingestr is a CLI tool to copy data between any databases with a single command seamlessly.
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
A lightweight stream processing library for Go
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Lightweight data stream processing engine for IoT edge
Probabilistic data structures for processing continuous, unbounded streams.
tools for working with streams of data
Data structure and algorithm library for go, designed to provide functions similar to C++ STL
Conduit streams data between data stores. Kafka Connect replacement. No JVM required.
Distributed Data Transfer Service for MySQL
This repo maintains DM (a data migration platform) and TiCDC (change data capture for TiDB)
The data platform for manufacturing
go-etl is a toolset for data extraction, transformation and loading.
Machine is a workflow/pipeline library for processing data
A Kafka log inspired in-memory and append-only data structure
Apache Calcite Go
Time-series database and pub/sub messaging server for IoT and real-time devices, in Go: an embeddable storage engine with TTLs, wildcard topics and encryption, and a clustered server over gRPC, TCP and WebSocket with replication and rolling upgrades.
Distributed batch data processing framework
Stream database events from PostgreSQL to Kafka