# trickstercache/trickster

Open Source HTTP Reverse Proxy Cache and Time Series Dashboard Accelerator

Repository: https://github.com/trickstercache/trickster
Canonical: https://ross.abutalabs.com/products/trickster
Homepage: https://trickstercache.org
Language: Go
License: Apache-2.0
License Family: permissive
Topics: prometheus, dashboards, caching, accelerator, tsdb, influxdb, http-proxy, clickhouse, reverse-proxy, golang, performance
Last push: 2026-08-26T05:46:41+00:00

## Health v2 (maintenance only)
Score: 98/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 95, longevity 100
- inputs: {"age_days": 3079, "days_push": 7, "days_rel": 33, "gap_med": 10, "n_releases_24m": 6}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2088, forks 186 (observed 2026-08-28T04:06:12.155293+00:00)

## What it is
Trickster is an open-source HTTP reverse proxy cache written in Go that also acts as a query accelerator for time series databases like Prometheus, InfluxDB, and ClickHouse. It is a CNCF sandbox project offering features such as an application load balancer, delta proxy caching, byte-range caching, collapsed forwarding, and rules-based request routing.

## Use cases
- speed up grafana dashboard queries against prometheus
- cache http api responses behind a reverse proxy
- accelerate time series database queries for dashboards
- load balance requests across multiple time series backends
- cache byte range requests for large files
- reduce redundant queries from multiple dashboard users
- add negative caching to prevent cascading outages
- route and rewrite http requests with a rules engine

## When to choose
- you serve time series dashboards (grafana, prometheus, influxdb, clickhouse) and want faster chart rendering
- you need an http reverse proxy with pluggable cache backends like redis, filesystem, or in-memory
- you want collapsed forwarding to deduplicate concurrent identical requests
- you need an application load balancer with time-series-aware request splitting

## When to avoid
- you need a general-purpose web server or full CDN with edge distribution
- your stack has no time series or cacheable HTTP workloads
- you need a proxy for non-HTTP protocols
- you want a fully managed cloud caching service without self-hosted infrastructure

## Facets
- artifact type: service
- maturity: active
- function: caching, proxy, http-server, monitoring, tracing, load-testing
- domain: monitoring, databases, web-development, analytics
- platform: windows, go, self-hosted, cross-platform
- tags: reverse-proxy, time-series-databases, prometheus, influxdb, clickhouse, dashboard-acceleration, delta-proxy-cache, collapsed-forwarding, byte-range-caching, application-load-balancer, cncf-sandbox, devops, linux, macos, docker

## Member repositories
- trickstercache/trickster (main) score 98

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:12.155293+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:55:43.092290+00:00, confidence not recorded.
  - readme: https://github.com/trickstercache/trickster (fetched 2026-08-28T04:06:12.155293+00:00, sha b42d40470b16)
  - homepage: https://trickstercache.org (fetched 2026-08-29T10:35:35.077173+00:00, sha 3cd015563804)
  - site_page: https://trickstercache.org/docs (fetched 2026-08-29T10:35:35.086138+00:00, sha 430cc02e5670)
- Data as of 2026-08-30T08:39:29.467469+00:00.