timescale는 GitHub에서 활발히 활동하는 오픈 소스 조직으로, Python, TypeScript, Go, Rust, JavaScript, C와 같은 다양한 프로그래밍 언어를 사용하여 여러 프로젝트를 개발하고 있습니다. 특히 timescaledb와 pgai와 같은 유명한 리포지토리는 고성능 실시간 분석과 AI 애플리케이션 개발을 위한 도구를 제공합니다.
A time-series database for high-performance real-time analytics packaged as a Postgres extension
A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL
PostgreSQL extension for BM25 relevance-ranked full-text search. Postgres OSS licensed.
Postgres extension for vector search (DiskANN), complements pgvector for performance and scale. Postgres OSS licensed.
MCP server and Claude plugin for Postgres skills and documentation. Helps AI coding tools generate better PostgreSQL code.
Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data
[DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
Mount PostgreSQL as a filesystem. Build apps with files, explore databases with ls and cat. Every write is logged and undoable.
tobs - The Observability Stack for Kubernetes. Easy install of a full observability stack into a k8s cluster with Helm charts.
A tool for tuning TimescaleDB for better performance by adjusting settings to match your system's CPU and memory resources.
Extension for more hyperfunctions, fully compatible with TimescaleDB and PostgreSQL 📈
A binary for parallel copying of CSV data into a TimescaleDB hypertable
Release Docker builds of TimescaleDB
Use PostgreSQL as a remote storage database for Prometheus
Configuration and Documentation to run TimescaleDB in your Kubernetes cluster
Create Docker images containing TimescaleDB, Patroni to be used by developers and Kubernetes.
PostgreSQL extension for Prometheus data
Spot vulnerabilities in postgres SQL scripts
The timescaledb gem. Pack of helpers to work with TimescaleDB extension in Ruby.
Collection of example applications and tools to help you get familiar with TimescaleDB
Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.
An LLM-powered Slack bot for your internal knowledge, powered by tiger-agents-for-work libraries.
Timescale NFT Starter Kit
Tiger CLI is the command-line interface for Tiger Cloud. It includes an MCP server for helping coding agents write production-level Postgres code.
Export data from InfluxDB to TimescaleDB
Ghost 👻
A Benchmark for Real-Time Analytics Applications
A library/CLI for running Agentic Slack bots with durable execution and bounded concurrency.
A complete Sigma detection toolkit: parser, linter, evaluator, correlation engine, conversion framework, streaming daemon, and LSP server :crab:
TigerData product documentation 📖
Private RAG app sample using Llama3, Ollama and PostgreSQL
Helper functions and procedures for timescale
Real-time Slack ingest and MCP server to power your agentic Slack bots
Content pages for TimescaleDB documentation
Tools for benchmarking TimescaleDB vs PostgreSQL
There are no dumb queries, only dumb databases
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A wrapper around the Linear API for internal LLMs
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Tiger GitHub MCP server
Power your TimescaleDB applications with TypeScript
A simple memory implementation
A busy developers guide to building AI applications with PostgreSQL
Timescale Cloud Terraform Provider
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API wrapped around our salesforce database
Companion repo to "RAG is more than vector search" blog post
TimescaleDB Homebrew tap, containing formulas for the database, tools, etc.
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Templates to get started with Timescale on Finance or Sensors (IoT)
Postgresql Performance Workshop for Rubyists
Example showing unstructured.io + timescaledb + PGAI
Agentic memory built on Postgres
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PG guide to devops/infra engineers
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AI-native workflow engine for GTM/RevOps automation
A TUI for managing coding agents in sandboxes
MCP server to provide a model with a set of skills
Simple table access method that just prints out what functions in the access methods and related functions that are called.
This repo contains information about the Timescale Performance article series.
A declarative (and optionally scriptable) HTTP API (audit trail) log collector :crab:
Generator of questions to be used for text-to-sql evaluations
Common MCP code for node.js
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Rule-based recommendations about your timeseries database.
Tiger Data Documentation
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Formal specifications for Promscale components
Multi-platform SSRF prevention library
Backfill hypertable data from one timescale instance to another
Automated database platform for PostgreSQL® - Your own DBaaS.
Source for the TigerData documentation.
See what LLMs are saying out in the wild.
Python package to stream edits from Wikimedia properties around the world: https://wikitech.wikimedia.org/wiki/Event_Platform/EventStreams
Demo webapp that demonstrates using pgai semantic-catalog
Exposes the Logfire SQL API as a postgres server
PostgreSQL Extension Whitelisting
A template for PostgreSQL High Availability with Etcd, Consul, ZooKeeper, or Kubernetes
Sigma Backends Skill
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Cookbooks and resources about using search in postgres.
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Companion repo for a TigerData blog tutorial. Claude Code Agent Teams build three industrial IoT collection clients (Modbus-TCP, OPC UA, MQTT) in parallel, each writing directly into a TimescaleDB hypertable. Includes a simulator, shared data models, contract files, and end-to-end pipeline validation.
MCP server for querying Grafana Postgres datasources
Hands-on workshops from the Tiger Data DevRel team. Each workshop is self-contained in its own folder.
Tiger Data design resources and workshops
Helm chart for Postgres connector
Amazon EKS Pod Identity Webhook
Sample projects and tutorials for different integrations for Tiger Data/TimescaleDB.
Build a RAG chatbot with pgvector and OpenAI
Apache Iceberg - Go
Sigma Rules Skill
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A fast Go Avro codec
Dispatch a workflow action and wait for it to finish
Reliable PostgreSQL Backup & Restore
Official Go implementation of Apache Arrow
timescale은 주로 고성능 시간 시리즈 데이터베이스인 timescaledb와 AI 애플리케이션 개발 도구인 pgai와 같은 여러 프로젝트를 개발합니다. 이들은 PostgreSQL과의 통합을 통해 다양한 기능을 제공합니다.
timescale의 주요 프로그래밍 언어는 Python, TypeScript, Go, Rust, JavaScript, C입니다. 이러한 언어를 사용하여 다양한 기능과 성능을 갖춘 리포지토리를 개발하고 있습니다.
예, timescale의 리포지토리는 모두 공개되어 있습니다. 이는 개발자들이 프로젝트에 기여하고, 코드의 품질을 검토할 수 있도록 하는 중요한 요소입니다.